Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network

Conference paper

Sharif, M., Naeem, U., Islam, S. and Karami, A. 2018. Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_34
AuthorsSharif, M., Naeem, U., Islam, S. and Karami, A.
TypeConference paper
Abstract

The employment of the brain signals
electroencephalography (EEG) could supply a deep intuitive
understanding for infants behaviour and their alertness level
within the living environment. The study of human brain
through a computer-based approach has increased significantly
as it aiming at the understanding of infants’ mind and measure
their attention towards the surrounding activities. The artificial
neural network achieved a significant level of success in different
fields such as pattern classification, decision making, prediction,
and adaptive control by learning from a set of data and construct
weight matrices to represent the learning patterns. This research
study proposes an artificial neural network based approach to
predict the rightward asymmetry or leftward asymmetry which
reflects higher frontal functional connectivity in the frontal right
and frontal left, respectively within infant’s brain. In the
traditional methods, the value of asymmetry of the frontal (FA)
functional connectivity is used to determine the rightward or the
leftward asymmetry. While the proposed approach is trying to
predict that without going through all the levels of the calculation
complexity. The achieved work will supply a deep understanding
into the deployment of the functional connectivity to provide
information on the interactions between different brain regions.

Year2018
ConferenceIntelligent Systems Conference (IntelliSys) 2018
PublisherSpringer, Cham
Accepted author manuscript
License
File Access Level
Anyone
Publication dates
Online08 Nov 2018
Publication process dates
Deposited10 Aug 2018
Submitted01 Feb 2018
Journal citation2, pp. 426-438
ISSN2194-5357
Book titleIntelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 2
ISBN978-3-030-01056-0
978-3-030-01057-7
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-01057-7_34
Web address (URL)https://doi.org/10.1007/978-3-030-01057-7_34
Additional information

© 2018 Springer

Series Advances in Intelligent Systems and Computing
EditorsArai, Kohei, Kapoor, Supriya and Bhatia, Rahul
Permalink -

https://repository.uel.ac.uk/item/845yv

Log in to edit

Download files

Accepted author manuscript
IntillSys2018_1.pdf
License: Springer Nature Terms of Use for accepted manuscripts of subscription articles, books and chapters
File access level: Anyone

  • 306
    total views
  • 212
    total downloads
  • 4
    views this month
  • 3
    downloads this month

Export as

Related outputs

Exploring the Ethical Implications of AI-Powered Personalization in Digital Marketing
Karami, A., Shemshaki, M. and Ghazanfar, M. 2024. Exploring the Ethical Implications of AI-Powered Personalization in Digital Marketing. Data Intelligence. p. In Press. https://doi.org/10.3724/2096-7004.di.2024.0055
Machine Learning-Based Techniques for Assessing Critical Factors for European Tick Abundance
Zorto, A., Lansdell, S., Seto, M., Gobena, E., Sharif, S. and Cutler, S. 2024. Machine Learning-Based Techniques for Assessing Critical Factors for European Tick Abundance. ICCSIT 2024: 17th International Conference on Computer Science and Information Technology. Dubai, UAE 23 - 25 Oct 2024
Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data
Amirhosseini, M. H., Ayodele, A. L. and Karami, A. 2024. Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data. IS'24: 12th IEEE International Conference on Intelligent Systems. Varna, Bulgaria 29 - 31 Aug 2024 IEEE. https://doi.org/10.1109/IS61756.2024.10705185
Home-based transcranial direct current stimulation in bipolar depression: an open-label treatment study of clinical outcomes, acceptability and adverse events
Ghazi-Noori, A., Woodham, R., Rezaei, H., Sharif, S., Bramon, E., Ritter, P., Bauer, M., Young, A. H. and Fu, C. H. Y. 2024. Home-based transcranial direct current stimulation in bipolar depression: an open-label treatment study of clinical outcomes, acceptability and adverse events. International Journal of Bipolar Disorders. 12 (Art. 30). https://doi.org/10.1186/s40345-024-00352-9
Adopting Security Practices in Software Development Process: Security Testing Framework for Sustainable Smart Cities
Mothanna, Y., ElMedany, W., Hammad, M., Ksantini, R. and Sharif, M. S. 2024. Adopting Security Practices in Software Development Process: Security Testing Framework for Sustainable Smart Cities. Computers & Security. 144 (Art. 103985). https://doi.org/10.1016/j.cose.2024.103985
Analysing an Imbalanced Stroke Prediction Dataset Using Machine Learning Techniques
Elangovan, V. S., Devarajan, R., Khalaf, O. I., Sharif, M. S. and Elmedany, W. 2024. Analysing an Imbalanced Stroke Prediction Dataset Using Machine Learning Techniques. Karbala International Journal of Modern Science. 10 (2), p. 8. https://doi.org/10.33640/2405-609X.3355
Elevating metaverse virtual reality experiences through network-integrated neuro-fuzzy emotion recognition and adaptive content generation algorithms
Ibrahim Khalaf, O., Srinivasan, D., Algburi, S., Vellaichamy, J., Selvaraj, D., Sharif, M. S. and Elmedany, W. 2024. Elevating metaverse virtual reality experiences through network-integrated neuro-fuzzy emotion recognition and adaptive content generation algorithms. Engineering Reports. In Press. https://doi.org/10.1002/eng2.12894
Federated learning with hybrid differential privacy for secure and reliable cross-IoT platform knowledge sharing
Khalaf, O. I., Ashokkumar, S. R., Algburi, S., Anupallavi, S., Selvaraj, D., Sharif, M. S. and Elmedany, W. 2024. Federated learning with hybrid differential privacy for secure and reliable cross-IoT platform knowledge sharing. Security and Privacy. 7 (3), p. e374. https://doi.org/10.1002/spy2.374
Blockchain-based Decentralised Application (DApp) towards Achieving a Hunger-Free World
Auwal, B., Duta, L., Sharif, S., Abou-Grad, H. and Ali, A 2024. Blockchain-based Decentralised Application (DApp) towards Achieving a Hunger-Free World. ICSDI 2024: 2nd International Conference on Sustainability: Development and Innovation. Riyadh, KSA 18 - 22 Feb 2024 Springer.
Solution of IoT Security and Privacy Challenges A Systematic Literature Review
Alsafran, J., Elmedany, W. and Sharif, S. 2024. Solution of IoT Security and Privacy Challenges A Systematic Literature Review. AICTC 2024: Arab ICT Conference . Kingdom of Bahrain 27 - 28 Feb 2024 IEEE.
A Comparative Study For Predicting House Price Based on Machine Learning
Eze, E., Sujith, S., Eze, J. and Sharif, S. 2023. A Comparative Study For Predicting House Price Based on Machine Learning. ICDABI 2023: 4th International Conference on Data Analytics for Business and Industry. University of Bahrain, Kingdom of Bahrain 25 - 26 Oct 2024 IEEE. https://doi.org/10.1109/ICDABI60145.2023.10629399
Performance Evaluation of Ensemble Deep Learning Algorithms for Prediction of Pandemic Disease
Sharif, S., Zorto, A. and Aluko, A. 2023. Performance Evaluation of Ensemble Deep Learning Algorithms for Prediction of Pandemic Disease. ICICIS 2023:11th IEEE International Conference on Intelligent Computing and Information Systems. Cairo, Egypt 21 - 23 Nov 2023 IEEE. https://doi.org/10.1109/ICICIS58388.2023.10391139
Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis
Alfakeeh, A., Sharif, S., Zorto, A. and Pillonetto, T. 2023. Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis. Applied Computational Intelligence and Soft Computing. 2023 (Art. 8819052). https://doi.org/10.1155/2023/8819052
Using Machine Learning for Security Issues in Cognitive IoT
Alzuabi, W., Elmedany, W. and Sharif, S. 2023. Using Machine Learning for Security Issues in Cognitive IoT. SCS-2023: 7th IET Smart Cities Symposium. Manama, Bahrain 03 - 05 Dec 2023 Institution of Engineering and Technology. https://doi.org/10.1049/icp.2024.0980
Towards Tactile Sensing of the Epidural Needle into the Spinal Column
Vakulabharanam, S. S. N., Sharif, S. and Morad, S. 2023. Towards Tactile Sensing of the Epidural Needle into the Spinal Column. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391801
Machine Learning-Based Prediction of Compressive Performance in Circular Concrete Columns Confined with FRP
Dhakal, N., Abbas, A., Ahmed, H. and Sharif, S. 2023. Machine Learning-Based Prediction of Compressive Performance in Circular Concrete Columns Confined with FRP. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391832
Non-Invasive Ventilation Sensor Mask (NIVSM): Preliminary Design and Testing
Lebetiou, H., Morad, S., Sharif, S. and Nichols, P. 2023. Non-Invasive Ventilation Sensor Mask (NIVSM): Preliminary Design and Testing. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391452
Neoj4 and SARMIX Model for Optimizing Product Placement and Predicting the Shortest Shopping Path
Sudharma, P., Hafidh, R., Sharif, S. and Elmedany, W. 2023. Neoj4 and SARMIX Model for Optimizing Product Placement and Predicting the Shortest Shopping Path. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391451
Analysis of Deep Neural Networks for Military Target Classification using Synthetic Aperture Radar Images
Jacob, S., Wall, J. and Sharif, S. 2023. Analysis of Deep Neural Networks for Military Target Classification using Synthetic Aperture Radar Images. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391600
Road Deterioration detection A Machine Learning-Based System for Automated Pavement Crack Identification and Analysis
Ganeshan, D., Sharif, S., Apeagyei, A. and Elmedany, W. 2023. Road Deterioration detection A Machine Learning-Based System for Automated Pavement Crack Identification and Analysis. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391802
Artificial Intelligence in Concrete Mix Design: Advances, Applications and Challenges
Barbhuiya, S. and Sharif, S. 2023. Artificial Intelligence in Concrete Mix Design: Advances, Applications and Challenges. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391485
Customer Churn Prediction Model Using Artificial Neural Network: A Case Study in Banking
Baby, B., Dawod, Z., Sharif, S. and Elmedany, W. 2023. Customer Churn Prediction Model Using Artificial Neural Network: A Case Study in Banking. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391374
Scalable Machine Learning Model for Highway CCTV Feed Real-Time Car Accident and Damage Detection
Sharif, S., Zorto, A., Brown, V. K. and Elmedany, W. 2023. Scalable Machine Learning Model for Highway CCTV Feed Real-Time Car Accident and Damage Detection. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391543
Artificial Intelligence Applications in Road Traffic Forecasting: A Review of Current Research
Khairi, S., Sharif, S., Apeagyei, A. and Abbas, A. 2023. Artificial Intelligence Applications in Road Traffic Forecasting: A Review of Current Research. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391677
Utilising Convolutional Neural Networks for Pavement Distress Classification and Detection
Sharif, S., Emiola, D. I., Zoto, A., Apeagyei, A. and Elmedany, W. 2023. Utilising Convolutional Neural Networks for Pavement Distress Classification and Detection. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391401
Real-Time Customer Emotion Analysis in E-Commerce based on Social Media Data: Insights and Opportunities
Suresh, M. M., Chooramun, N. and Sharif, S. 2023. Real-Time Customer Emotion Analysis in E-Commerce based on Social Media Data: Insights and Opportunities. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391602
Implementing a Chatbot Music Recommender System Based on User Emotion
Mathew, N,, Chooramun, N. and Sharif, S. 2023. Implementing a Chatbot Music Recommender System Based on User Emotion. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391771
Predicting Shear Capacity of RC Beams Strengthened with NSM FRP Using Neural Networks
Guler, O., Ahmed, H., Abbas, A. and Sharif, S. 2023. Predicting Shear Capacity of RC Beams Strengthened with NSM FRP Using Neural Networks. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391555
Machine Failure Prediction using Joint Reserve Intelligence with Feature Selection Technique
Shaheen, A., Hammad, M., Elmedany, W., Ksantini, R. and Sharif, S. 2023. Machine Failure Prediction using Joint Reserve Intelligence with Feature Selection Technique. International Journal of Computers and Applications. 45 (10), pp. 638-646. https://doi.org/10.1080/1206212X.2023.2260619
An Extended Reality Solution for Mitigating the Video Fatigue of Online Meetings
Glackin, C., Cannings, N., Poobalasingam, V., Wall, J., Sharif, S. and Moniri, M. 2023. An Extended Reality Solution for Mitigating the Video Fatigue of Online Meetings. in: Jung, T. and tom Dieck, M. C. (ed.) XR-Metaverse Cases: Business Application of AR, VR, XR and Metaverse Springer. pp. 45-54
Securing IoT Devices Against Emerging Security Threats: Challenges and Mitigation Techniques
Al Kabir, M. A., Elmedany, W. and Sharif, S. 2023. Securing IoT Devices Against Emerging Security Threats: Challenges and Mitigation Techniques. Journal of Cyber Security Technology. 7 (4), pp. 199-223.
The Effectiveness of DKIM and SPF in Strengthening Email Security
Sami, M., Elmedany, W. and Sharif, S. 2023. The Effectiveness of DKIM and SPF in Strengthening Email Security. FiCloud 2023: The 10th International Conference on Future Internet of Things and Cloud. Marrkech, Morocco 14 - 16 Aug 2023 IEEE. https://doi.org/10.1109/FiCloud58648.2023.00068
Employing Machine Learning Algorithms to Detect Stress with a Specific Emphasis on Commuting Methods
Sharif, S., Theeng Tamang, M., Fu, C. and Elmedany, W. 2023. Employing Machine Learning Algorithms to Detect Stress with a Specific Emphasis on Commuting Methods. FiCloud 2023: The 10th International Conference on Future Internet of Things and Cloud. Marrkech, Morocco 14 - 16 Aug 2023 IEEE. https://doi.org/10.1109/FiCloud58648.2023.00067
An Innovative Approach Based on Machine Learning to Evaluate the Risk Factors Importance in Diagnosing Keratoconus
Zorto, A. D., Sharif, S., Wall, J., Brahma, A., Alzahrani, A. I. and Alalwan, N. 2023. An Innovative Approach Based on Machine Learning to Evaluate the Risk Factors Importance in Diagnosing Keratoconus. Informatics in Medicine Unlocked. 38, p. 101208. https://doi.org/10.1016/j.imu.2023.101208
Blockchain Vulnerabilities and Recent Security Challenges: A Review Paper
AlFaw, A., Elmedany, W. and Sharif, M. S. 2022. Blockchain Vulnerabilities and Recent Security Challenges: A Review Paper. ICDABI 2022: 3rd International Conference on Data Analytics for Business and Industry. Sakhir, Bahrain 25 - 26 Oct 2022 IEEE. https://doi.org/10.1109/ICDABI56818.2022.10041611
Eagle-Eye: Open-Source Intelligence Tool for IoT Devices Detection
Al Mahmeed, Y., Elmedany, W. and Sharif, M. S. 2022. Eagle-Eye: Open-Source Intelligence Tool for IoT Devices Detection. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990658
Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark
Chaudhury, M., Karami, A. and Ghazanfar, M. A. 2022. Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark. Electronics. 11 (16), p. 2567. https://doi.org/10.3390/electronics11162567
An Effective Random Generalised Linear Model to Predict COPD
Saraireh, L., Sharif, S. and Alsallal, M. 2022. An Effective Random Generalised Linear Model to Predict COPD. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990712
Digital Data Extraction for Vehicles Forensic Investigation
Stathers, C., Muhammad, M., Fasanmade, A., Al-Bayatti, A., Morden, J. and Sharif, S. 2022. Digital Data Extraction for Vehicles Forensic Investigation. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990620
An Effective Galaxy Classification Using Fractal Analysis and Neural Network
Radhamani, P. S., Sharif, S. and Elmedany, W. 2022. An Effective Galaxy Classification Using Fractal Analysis and Neural Network. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990776
Evaluating the Stressful Commutes Using Physiological Signals and Machine Learning Techniques
Sharif, S., Theeng Tamang, M. and Fu, C. 2022. Evaluating the Stressful Commutes Using Physiological Signals and Machine Learning Techniques. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990849
Effective Machine Learning Based Techniques for Predicting Depression
Sharif, S., Zorto, A., Kareem, A. T. and Hafidh, R. 2022. Effective Machine Learning Based Techniques for Predicting Depression. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990824
Enhancement Techniques for Improving Facial Recognition Performance in Convolutional Neural Networks
Sharif, S., Olusegun, M., Zorto, A. and Elmedany, W. 2022. Enhancement Techniques for Improving Facial Recognition Performance in Convolutional Neural Networks. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990811
A Mixed Reality Approach for dealing with the Video Fatigue of Online Meetings
Wall, J., Poobalasingam, V., Sharif, S., Moniri, M., Glackin, C. and Cannings, N. 2022. A Mixed Reality Approach for dealing with the Video Fatigue of Online Meetings. 7th International XR Conference. Lisbon, Portugal 27 - 29 Apr 2022
Designing a Cost-Efficient Network for a Small Enterprise
Jafari, F., Karami, A. and Osemwengie, L. 2021. Designing a Cost-Efficient Network for a Small Enterprise. SAI Computing Conference 2021. Online 15 - 16 Jul 2021 Springer, Cham. https://doi.org/10.1007/978-3-030-80119-9_14
Predicting the Health Impacts of Commuting Using EEG Signal Based on Intelligent Approach
Sharif, S., Theeng Tamang, M. and Fu, C. 2021. Predicting the Health Impacts of Commuting Using EEG Signal Based on Intelligent Approach. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9582119
An Effective Hybrid Approach Based on Machine Learning Techniques for Auto-Translation: Japanese to English
Sharif, S., Auwal, B., Maltby, H. and Al-Bayatti, A. 2021. An Effective Hybrid Approach Based on Machine Learning Techniques for Auto-Translation: Japanese to English. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9581629
An Effective Cost-Sensitive Convolutional Neural Network for Network Traffic Classification
Sharif, S. and Moein, M. 2021. An Effective Cost-Sensitive Convolutional Neural Network for Network Traffic Classification. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9581789
Defeating the Credit Card Scams Through Machine Learning Algorithms
Bains, K., Fasanmade, A., Morden, J., Al-Bayatti, A. H., Sharif, S. and Alfakeeh, A. S. 2021. Defeating the Credit Card Scams Through Machine Learning Algorithms. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9582060
Stock market prediction using machine learning classifiers and social media, news
Khan, W., Ghazanfar, M., Azam, M. A., Karami, A., Alyoubi, K. H. and Alfakeeh, A. S. 2020. Stock market prediction using machine learning classifiers and social media, news. Journal of Ambient Intelligence and Humanized Computing. 13, pp. 3433-3456. https://doi.org/10.1007/s12652-020-01839-w
A novel centroids initialisation for K-means clustering in the presence of benign outliers
Karami, A., Ur Rehman, S. and Ghazanfar, M. 2020. A novel centroids initialisation for K-means clustering in the presence of benign outliers. International Journal of Data Analysis Techniques and Strategies. 12 (4), pp. 287-298. https://doi.org/10.1504/IJDATS.2020.111498
Dictionary selection for Compressed Sensing of EEG signals using sparse binary matrix and spatiotemporal sparse Bayesian learning
Dey, M., Shiraz, A., Sharif, S., Lota, J. and Demosthenous, A. 2020. Dictionary selection for Compressed Sensing of EEG signals using sparse binary matrix and spatiotemporal sparse Bayesian learning. Biomedical Physics and Engineering Express. 6 (Art. 065024). https://doi.org/10.1088/2057-1976/abc133
An Effective Knowledge-Based Modeling Approach towards a “Smart-School Care Coordination System” for Children and Young People with Special Educational Needs and Disabilities
Hafidh, R., Sharif, S., Al-Bayatti, A. H., Alfakeeh, A. S., Alassafi, M. O. and Alqarni, M. A. 2020. An Effective Knowledge-Based Modeling Approach towards a “Smart-School Care Coordination System” for Children and Young People with Special Educational Needs and Disabilities. Symmetry. 12 (Art. 1495). https://doi.org/10.3390/sym12091495
A Machine-Learning-Based Approach to Predict the Health Impacts of Commuting in Large Cities: Case Study of London
Raj Theeng Tamang, M., Sharif, M. S., Al-Bayatti, A. H., Alfakeeh, A. S. and Omar Alsayed, A. 2020. A Machine-Learning-Based Approach to Predict the Health Impacts of Commuting in Large Cities: Case Study of London. Symmetry. 12 (Art. 866). https://doi.org/10.3390/sym12050866
Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes
Okoye, K., Islam, S., Naeem, U. and Sharif, S. 2020. Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes. International Journal of Innovative Computing, Information and Control. 16 (3), pp. 899-921. https://doi.org/10.24507/ijicic.16.03.899
Positron emission tomography PET/CT harmonisation study of different clinical PET/CT scanners using commercially available software
Lowe, G., Spottiswoode, B., Declerck, J., Sullivan,, K., Sharif, S., Wong, W. and Sanghera, B. 2020. Positron emission tomography PET/CT harmonisation study of different clinical PET/CT scanners using commercially available software. BJR Open. 2 (Art. 20190035). https://doi.org/10.1259/bjro.20190035
An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study
Sharif, S., Abbod, M., Al-Bayatti, A., Amira, A., Alfakeeh, A. and Sanghera, B. 2020. An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study. IEEE Access. 8, pp. 37482-37494. https://doi.org/10.1109/ACCESS.2020.2975135
Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All
Ebenuwa, S., Sharif, S., Al-Nemrat, A., Al-Bayatti, A. H., Alalwan, N., Alzahrani, A. I. and Alfarraj, O. 2019. Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All. Symmetry. 11 (Art. 1504). https://doi.org/10.3390/sym11121504
Policy-Based Security Management System for 5G Heterogeneous Networks
Alquhayz, H., Alalwan, N., Alzahrani, A. I., Al-Bayatti, A. H. and Sharif, S. 2019. Policy-Based Security Management System for 5G Heterogeneous Networks. Wireless Communications and Mobile Computing. 2019 (Art. 4582391). https://doi.org/10.1155/2019/4582391
A Framework for Augmented Reality Based Shared Experiences
Ali, A., Glackin, C., Cannings, N., Wall, J., Sharif, S. and Moniri, M. 2019. A Framework for Augmented Reality Based Shared Experiences. Immersive Learning Research Network - iLRN. London, UK 23 - 27 Jun 2019 Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-657-4-24
Improving Student Engagement and Performance in Computing Final Year Projects
Naeem, U., Islam, S. and Siddiqui, A. 2019. Improving Student Engagement and Performance in Computing Final Year Projects. IEEE TALE 2019. Yogyakarta - Indonesia 10 - 13 Oct 2019 IEEE. https://doi.org/10.1109/TALE48000.2019.9225860
A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images
Van Druten, J., Sharif, S., Chan, S. S., Chong, C. and Abdalla, H. 2019. A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. https://doi.org/10.1109/iCCECE46942.2019.8941615
Context-Aware Driver Distraction Severity Classification using LSTM Network
Fasanmade, A., Aliyu, S., He, Y., Al-Bayatti, A. H., Sharif, S. and Alfakeeh, A. S. 2019. Context-Aware Driver Distraction Severity Classification using LSTM Network. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. pp. 147-152 https://doi.org/10.1109/iCCECE46942.2019.8941966
Predicting the Standard and Deviant Patterns In EEG Signals Based On Deep Learning Model
Sharif, S., Al-Bayatti, A. H. and Alfakeeh, A. S. 2019. Predicting the Standard and Deviant Patterns In EEG Signals Based On Deep Learning Model. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. https://doi.org/10.1109/iCCECE46942.2019.8941730
Effect of PET Image Reconstruction Techniques on Unexpected Aorta Uptake
Hirji, H., Sullivan, K., Lasker, I., Sharif, S., Nunes, A., Shepherd, C., Wong, W. and Sanghera, B. 2019. Effect of PET Image Reconstruction Techniques on Unexpected Aorta Uptake. Molecular Imaging and Radionuclide Therapy. 28 (1), pp. 1-7. https://doi.org/10.4274/mirt.galenos.2018.88528
Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data
Ebenuwa, S., Sharif, M., Alazab, Mamoun and Al-Nemrat, A. 2019. Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data. IEEE Access. 7, pp. 24649-24666. https://doi.org/10.1109/ACCESS.2019.2899578
Tracking Functional Decline using Ambient Intelligence for Alzheimer's Patients
Lee, Sin Wee, Naeem, U., Anthony, Richard, Tawil, A., Azam, Muhammad Awais and Preston, David 2014. Tracking Functional Decline using Ambient Intelligence for Alzheimer's Patients. in: Dogru, Ali H. and Suh, Sang (ed.) Proceedings of the 19th International Conference on Transformative Science and Engineering, Business and Social Innovation Society for Design and Process Science. pp. 107-116
Inference of Activities with Unexpected Actions Using Pattern Mining
Nasreen, Shamila, Azam, Muhammad Awais, Naeem, U. and Ghazanfar, Mustansar Ali 2015. Inference of Activities with Unexpected Actions Using Pattern Mining. in: UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 1479-1488
Inference of Hygiene Behaviours While Recognising Activities of Daily Living
Naeem, U., Tawil, Abdel-Rahman, Semelis, Ivans, Judah, Gaby and Aunger, Robert 2015. Inference of Hygiene Behaviours While Recognising Activities of Daily Living. in: Mansoor, Wathiq, Maamar, Zakaria and Rabhi, Fethi (ed.) ICCASA '14: Proceedings of the 3rd International Conference on Context-Aware Systems and Applications ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). pp. 154-161
Medical data analysis based on Nao robot: An automated approach towards robotic real-time interaction with human body
Sharif, M. and Alsibai, Mohammed Hayyan 2018. Medical data analysis based on Nao robot: An automated approach towards robotic real-time interaction with human body. in: 2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) IEEE. pp. 91-96
A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis
van Druten, Jacqueline, Sharif, M., Khashu, Minesh and Abdalla, H. 2019. A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis. in: Miraz, Mahdi H., Exce, Peter S., Jones, Andrew, Soomro, Safeeullah and Ali, Maaruf (ed.) Proceedings 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE) IEEE. pp. 101-106
A Machine Learning Techniques to Detect Counterfeit Medicine Based on X-Ray Fluorescence Analyser
Alsallal, Muna, Sharif, M., Al-Ghzawi, Baydaa and al Mutoki, Sabah Mohammed Mlkat 2019. A Machine Learning Techniques to Detect Counterfeit Medicine Based on X-Ray Fluorescence Analyser. in: Miraz, Mahdi H., Excell, Peter S., Jones, Andrew, Soomro, Safeeullah and Ali, Maaruf (ed.) Proceedings 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE) IEEE. pp. 118-122
An Anomaly-based Intrusion Detection System in Presence of Benign Outliers with Visualization Capabilities
Karami, A. 2018. An Anomaly-based Intrusion Detection System in Presence of Benign Outliers with Visualization Capabilities. Expert Systems with Applications. 108, pp. 36-60. https://doi.org/10.1016/j.eswa.2018.04.038
Neural Predictors of Gait Stability When Walking Freely in the Real-World.
Pizzamiglio, S., Abdalla, H., Naeem, U. and Turner, D. 2018. Neural Predictors of Gait Stability When Walking Freely in the Real-World. Journal of NeuroEngineering and Rehabilitation. 15 (11). https://doi.org/10.1186/s12984-018-0357-z
An Innovative EPW Design Using Add-on Features to Meet Malaysian Requirements
Alsibai, Mohammed Hayyan, Sharif, M., Yaakub, Salma and Hamran, Nurul Nadia Nor 2018. An Innovative EPW Design Using Add-on Features to Meet Malaysian Requirements. in: Proceedings of the 7th IEEE International Conference on Control Systems, Computing and Engineering (ICCSCE 2017) IEEE. pp. 180-185
An Effective TeleHealth Assistive System to Support Senior Citizen at Home or Care-Homes
Sharif, M., Alsallal, Muna and Herghelegiu, Lucian 2018. An Effective TeleHealth Assistive System to Support Senior Citizen at Home or Care-Homes. IEEE International Conference on Computing, Electronics & Communications Engineering 2018 (iCCECE '18). Southend, UK 16 - 17 Aug 2018 IEEE. pp. 113-117 https://doi.org/10.1109/iCCECOME.2018.8658877
The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain
Okoye, Kingsley, Islam, S., Naeem, U., Sharif, M., Azam, Muhammad Awais and Karami, A. 2018. The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_96
Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing
Ehatisham-ul-Haq, Muhammad, Azam, Muhammad Awais, Loo, Jonathan, Shuang, Kai, Islam, S., Naeem, U. and Amin, Yasar 2017. Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing. Sensors. 17 (9), p. 2043. https://doi.org/10.3390/s17092043
Identifying Smartphone Users based on their Activity Patterns via Mobile Sensing
Ehatisham-ul-Haq, M., Azam, Muhammad Awais, Naeem, U., Rѐhman, Shafiq Ur and Khalid, Asra 2017. Identifying Smartphone Users based on their Activity Patterns via Mobile Sensing. Procedia Computer Science. 113, pp. 202-209. https://doi.org/10.1016/j.procs.2017.08.349
Taskification – Gamification of Tasks
Naeem, U., Islam, S., Sharif, M., Sudakov, Sergey and Azam, Awais 2017. Taskification – Gamification of Tasks. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 631-634
SignalSense - Towards Quality Service
Islam, S., Sharif, M., Naeem, U. and Geehan, James 2017. SignalSense - Towards Quality Service. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 627-630
CrimeSafe - Helping you stay safe
Islam, S., Naeem, U., Sharif, M. and Dovnarovic, Arnold 2017. CrimeSafe - Helping you stay safe. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 642-645
Neural correlates of single- and dual-task walking in the real world
Pizzamiglio, Sara, Naeem, U., Abdalla, H. and Turner, D. 2017. Neural correlates of single- and dual-task walking in the real world. Frontiers in Human Neuroscience. 11, p. Art 460. https://doi.org/10.3389/fnhum.2017.00460
The Future of Enterprise Security with Regards to Mobile Technology and Applications
Tagoe, F. T. and Sharif, M. 2017. The Future of Enterprise Security with Regards to Mobile Technology and Applications. in: Jahankhani, Hamid, Carlile, Alex, Emm, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017 Proceedings Springer International Publishing.
Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles
Seuwou, Patrice, Banissi, Ebad, Ubakanma, George, Sharif, M. and Healey, Ann 2017. Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles. in: Jahankhani, Hamid, Carlile, Alex, Emm, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017 Proceedings Springer International Publishing.
Recognizing activities of daily living from patterns and extraction of web knowledge
Ihianle, I., Naeem, U., Tawil, A. and Azam, Muhammad Awais 2016. Recognizing activities of daily living from patterns and extraction of web knowledge. in: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16 New York, NY, USA Association for Computing Machinery (ACM). pp. 1255-1262
Using semantic-based approach to manage perspectives of process mining: Application on improving learning process domain data
Kingsley, Okoye, Tawil, Abdel-Rahman H., Naeem, U., Islam, S. and Lamine, Elyes 2017. Using semantic-based approach to manage perspectives of process mining: Application on improving learning process domain data. in: 2016 IEEE International Conference on Big Data (Big Data) IEEE. pp. 3529-3538
Inference Engine Based on a Hierarchical Structure for Detecting Everyday Activities within the Home
Naeem, U., Tawil, A., Semelis, Ivans, Azam, Muhammad Awais and Ghazanfar, Mustansar Ali 2017. Inference Engine Based on a Hierarchical Structure for Detecting Everyday Activities within the Home. in: Bi, Yaxin, Kapoor, Supriya and Bhatia, Rahul (ed.) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 Springer, Cham. pp. 969-986
A Framework for Uncertainty-Aware Visual Analytics in Big Data
Karami, A. 2015. A Framework for Uncertainty-Aware Visual Analytics in Big Data. CEUR Workshop Proceedings. 1510, pp. 146-155.
Integration operators for generating RDF/OWL-based user defined mediator views in a grid environment
Tawil, Abdel-Rahman H., Taweel, Adel, Naeem, U., Montebello, Matthew, Bashroush, R. and Al-Nemrat, A. 2014. Integration operators for generating RDF/OWL-based user defined mediator views in a grid environment. Journal of Intelligent Information Systems. 43 (1), pp. 1-32. https://doi.org/10.1007/s10844-013-0300-5
A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis
Okoye, Kingsley, Tawil, A., Naeem, U. and Lamine, Elyes 2015. A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis. in: Pillay, Nelishia, Engelbrecht, Andries P., Abraham, Ajith, Plessis, Mathys C. du, Snášel, Václav and Muda, Azah Kamilah (ed.) Advances in Nature and Biologically Inspired Computing Cham, Switzerland Springer International Publishing.
A dynamic segmentation based activity discovery through topic modelling
Kennedy, Ihianle Isibor, Naeem, U. and Tawil, A. 2016. A dynamic segmentation based activity discovery through topic modelling. in: IET International Conference on Technologies for Active and Assisted Living (TechAAL) IEEE.
An efficient system for preprocessing confocal corneal images for subsequent analysis
Sharif, M., Qahwaji, Rami, Hayajneh, Sofyan, Ipson, Stanley, Alzubaidi, Rania and Brahma, Arun 2014. An efficient system for preprocessing confocal corneal images for subsequent analysis. in: 2014 14th UK Workshop on Computational Intelligence (UKCI) IEEE.
Dependence Cluster Visualization
Islam, S., Krinke, Jens and Binkley, David 2010. Dependence Cluster Visualization. in: Proceedings of the 5th international symposium on Software visualization New York, NY, USA Association for Computing Machinery (ACM). pp. 93-102
Artificial Neural Network-Based System for PET Volume Segmentation
Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2010. Artificial Neural Network-Based System for PET Volume Segmentation. International Journal of Biomedical Imaging. 2010 (105610). https://doi.org/10.1155/2010/105610
Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification
Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2012. Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Advances in Fuzzy Systems. 2012 (327861). https://doi.org/10.1155/2012/327861
Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study
Sharif, M., Abbod, Maysam, Sonoda, Luke I. and Sanghera, Bal 2013. Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study. British Journal of Applied Science & Technology. 4 (4), pp. 634-649. https://doi.org/10.9734/bjast/2014/5084
Preparation of 2D sequences of corneal images for 3D model building
Elbita, Abdulhakim, Qahwaji, Rami, Ipson, Stanley, Sharif, M. and Ghanchi, Faruque 2015. Preparation of 2D sequences of corneal images for 3D model building. Computer Methods and Programs in Biomedicine. 114 (2), pp. 194-205. https://doi.org/10.1016/j.cmpb.2014.01.009
Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images
Sharif, M., Qahwaji, R., Ipson, S. and Brahma, A. 2015. Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images. Applied Soft Computing. 36 (Nov.), pp. 269-282. https://doi.org/10.1016/j.asoc.2015.07.019
An efficient intelligent analysis system for confocal corneal endothelium images
Sharif, M., Qahwaji, R., Shahamatnia, E., Alzubaidi, R., Ipson, S. and Brahma, A. 2015. An efficient intelligent analysis system for confocal corneal endothelium images. Computer Methods and Programs in Biomedicine. 122 (3), pp. 421-436. https://doi.org/10.1016/j.cmpb.2015.09.003
In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study
Alzubaidi, Rania, Sharif, M., Qahwaji, Rami, Ipson, Stanley and Brahma, Arun 2015. In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study. British Journal of Ophthalmology. 100 (1), pp. 41-55. https://doi.org/10.1136/bjophthalmol-2015-306934
Less is more: Temporal fault predictive performance over multiple Hadoop releases
Harman, Mark, Islam, S., Jia, Yue, Minku, Leandro L., Sarro, Federica and Srivisut, Komsan 2014. Less is more: Temporal fault predictive performance over multiple Hadoop releases. in: Goues, Claire Le and Yoo, Shin (ed.) Search-Based Software Engineering Springer International Publishing.
ORBS: Language-Independent Program Slicing
Binkley, David, Gold, Nicolas, Harman, Mark, Islam, S., Krinke, Jens and Yoo, Shin 2014. ORBS: Language-Independent Program Slicing. in: Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering New York, NY, USA Association for Computing Machinery (ACM). pp. 109-120
Jolinar: Analysing the Energy Footprint of Software Applications (demo)
Noureddine, A., Islam, S. and Bashroush, R. 2016. Jolinar: Analysing the Energy Footprint of Software Applications (demo). in: Proceedings of the 25th International Symposium on Software Testing and Analysis New York, NY, USA Association for Computing Machinery (ACM). pp. 445-448
Semantic-Based Model Analysis Towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain
Okoye, Kingsley, Tawila, Abdel-Rahman H., Naeem, U., Islam, S. and Lamine, Elyes 2017. Semantic-Based Model Analysis Towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain. in: Abraham, Ajith, Cherukuri, Aswani Kumar, Madureira, Ana Maria and Muda, Azah Kamilah (ed.) Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) Springer, Cham.
Assessing the impact of global variables on program dependence and dependence clusters
Binkley, David, Harman, Mark, Hassoun, Youssef, Islam, S. and Li, Zheng 2009. Assessing the impact of global variables on program dependence and dependence clusters. Journal of Systems and Software. 83 (1), pp. 96-107. https://doi.org/10.1016/j.jss.2009.03.038
Requirements for the formal representation of pathophysiology mechanisms by clinicians
de Bono, B., Helvensteijn, M., Kokash, N., Martorelli, I., Sarwar, D., Islam, S., Grenon, P. and Hunter, P. 2016. Requirements for the formal representation of pathophysiology mechanisms by clinicians. Interface Focus. 6 (2), p. 20150075. https://doi.org/10.1098/rsfs.2015.0099
An empirical study on dependence clusters for effort-aware fault-proneness prediction
Yang, Yibiao, Harman, Mark, Krinke, Jens, Islam, S., Binkley, David, Zhou, Yuming and Xu, Baowen 2016. An empirical study on dependence clusters for effort-aware fault-proneness prediction. in: Lo, David, Apel, Sven and Khurshid, Sarfraz (ed.) ASE’16 Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering IEEE/ACM. pp. 296-307
Towards Cloud Security Monitoring: A Case Study
Ismail, Umar Mukhtar, Islam, S. and Islam, S. 2016. Towards Cloud Security Monitoring: A Case Study. in: 2016 Cybersecurity and Cyberforensics Conference (CCC) IEEE.
Utilization of multi attribute decision making techniques to integrate automatic and manual ranking of options
Karami, A. and Johansson, Ronnie 2013. Utilization of multi attribute decision making techniques to integrate automatic and manual ranking of options. Journal of Information Science and Engineering. 30 (2), pp. 519-534.
Choosing DBSCAN parameters automatically using differential evolution
Karami, A. and Johansson, Ronnie 2014. Choosing DBSCAN parameters automatically using differential evolution. International Journal of Computer Applications. 91 (7), pp. 1-11. https://doi.org/10.5120/15890-5059
A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks
Karami, A. and Guerrero-Zapata, Manel 2014. A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks. Neurocomputing. 149 (Part C), pp. 1253-1269. https://doi.org/10.1016/j.neucom.2014.08.070
A hybrid multiobjective RBF-PSO method for mitigating DoS attacks in Named Data Networking
Karami, A. and Guerrero-Zapata, Manel 2014. A hybrid multiobjective RBF-PSO method for mitigating DoS attacks in Named Data Networking. Neurocomputing. 151 (3), pp. 1262-1282. https://doi.org/10.1016/j.neucom.2014.11.003
An ANFIS-based cache replacement method for mitigating cache pollution attacks in Named Data Networking
Karami, A. and Guerrero-Zapata, Manel 2015. An ANFIS-based cache replacement method for mitigating cache pollution attacks in Named Data Networking. Computer Networks. 80 (April), pp. 51-65. https://doi.org/10.1016/j.comnet.2015.01.020
ACCPndn: Adaptive Congestion Control Protocol in Named Data Networking by learning capacities using optimized Time-Lagged Feedforward Neural Network
Karami, A. 2015. ACCPndn: Adaptive Congestion Control Protocol in Named Data Networking by learning capacities using optimized Time-Lagged Feedforward Neural Network. Journal of Network and Computer Applications. 56 (Oct.), pp. 1-18. https://doi.org/10.1016/j.jnca.2015.05.017
A Wormhole Attack Detection and Prevention Technique in Wireless Sensor Networks
Siddiqui, A., Karami, A. and Johnson, M. O. 2017. A Wormhole Attack Detection and Prevention Technique in Wireless Sensor Networks. International Journal of Computer Applications. 174 (Art. 4). https://doi.org/10.5120/ijca2017915376
High-Frequency Intermuscular Coherence between Arm Muscles during Robot-Mediated Motor Adaptation
Pizzamiglio, Sara, De Lillo, Martina, Naeem, U., Abdalla, Hassan and Turner, D. 2017. High-Frequency Intermuscular Coherence between Arm Muscles during Robot-Mediated Motor Adaptation. Frontiers in Physiology. 7 (668), pp. 1-14. https://doi.org/10.3389/fphys.2016.00668
gUML: Reasoning about Energy at Design Time by Extending UML Deployment Diagrams with Data Centre Contextual Information
Jebraeil, Nigar, Noureddine, A., Doyle, J., Islam, S. and Bashroush, R. 2017. gUML: Reasoning about Energy at Design Time by Extending UML Deployment Diagrams with Data Centre Contextual Information. in: 2017 IEEE World Congress on Services (SERVICES) IEEE. pp. In Press
Cloud Strife: Expanding the Horizons of Cloud Gaming Services
Doyle, J., Islam, S., Bashroush, R. and O'Mahony, Donal 2017. Cloud Strife: Expanding the Horizons of Cloud Gaming Services. in: 2017 IEEE World Congress on Services (SERVICES) IEEE.
A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing
Pizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D. 2017. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. Procedia Computer Science. 113, pp. 89-96. https://doi.org/10.1016/j.procs.2017.08.297
Recognition of Activities of Daily Living from Topic Model
Ihianle, I., Naeem, U. and Tawil, A. 2016. Recognition of Activities of Daily Living from Topic Model. Procedia Computer Science. 98, pp. 24-31. https://doi.org/10.1016/j.procs.2016.09.007
Measuring energy footprint of software features
Islam, S., Noureddine, A. and Bashroush, Rabih 2016. Measuring energy footprint of software features. in: 2016 IEEE 24th International Conference on Program Comprehension (ICPC) IEEE.
PORBS: A parallel observation-based slicer
Islam, S. and Binkley, David 2016. PORBS: A parallel observation-based slicer. in: 2016 IEEE 24th International Conference on Program Comprehension (ICPC) IEEE.
Efficient Identification of Linchpin Vertices in Dependence Clusters
Binkley, David, Gold, Nicolas, Harman, Mark, Islam, S., Krinke, Jens and Li, Zheng 2013. Efficient Identification of Linchpin Vertices in Dependence Clusters. ACM Transactions on Programming Languages and Systems. 35 (2), pp. 1-35.
ORBS and the limits of static slicing
Binkley, David, Gold, Nicolas, Harman, Mark, Islam, S., Krinke, Jens and Yoo, Shin 2015. ORBS and the limits of static slicing. in: 2015 IEEE 15th International Working Conference on Source Code Analysis and Manipulation (SCAM) IEEE. pp. 1-10
Recognition Framework for Inferring Activities of Daily Living Based on Pattern Mining
Nasreen, Shamila, Azam, Muhammad Awais, Naeem, U., Ghazanfar, Mustansar Ali and Khalid, Asra 2016. Recognition Framework for Inferring Activities of Daily Living Based on Pattern Mining. Arabian Journal for Science and Engineering. 41 (8), pp. 3113-3126. https://doi.org/10.1007/s13369-016-2091-9
Coherent clusters in source code
Islam, S., Krinke, Jens, Binkley, David and Harman, Mark 2013. Coherent clusters in source code. Journal of Systems and Software. 88, pp. 1-24.
Uncovering Dependence Clusters and Linchpin Functions
Binkley, David, Beszédes, Árpád, Islam, S., Jász, Judit and Vancsics, Béla 2015. Uncovering Dependence Clusters and Linchpin Functions. in: 2015 IEEE 31st International Conference on Software Maintenance and Evolution (ICSME) IEEE. pp. 141-150
Activities of daily life recognition using process representation modelling to support intention analysis
Naeem, U., Bashroush, R., Anthony, Richard, Azam, Muhammad Awais, Tawil, Abdel Rahman, Lee, S. and Mou-Ling, Dennis 2015. Activities of daily life recognition using process representation modelling to support intention analysis. International Journal of Pervasive Computing and Communications. 11 (3), pp. 347-371. https://doi.org/10.1108/IJPCC-01-2015-0002
Novel centroid selection approaches for KMeans-clustering based recommender systems
Zahra, Sobia, Ghazanfar, Mustansar Ali, Khalid, Asra, Azam, Muhammad Awais, Naeem, U. and Prugel-Bennett, Adam 2015. Novel centroid selection approaches for KMeans-clustering based recommender systems. Information Sciences. 320, pp. 156-189.
Semantic Process Mining Towards Discovery and Enhancement of Learning Model Analysis
Okoye, Kingsley, Tawil, Abdel Rahman H., Naeem, U. and Lamine, Elyes 2015. Semantic Process Mining Towards Discovery and Enhancement of Learning Model Analysis. in: 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems IEEE. pp. 363-370
A Semantic Rule-based Approach Supported by Process Mining for Personalised Adaptive Learning
Okoye, Kingsley, Tawil, A., Naeem, U., Bashroush, Rabih and Lamine, Elyes 2014. A Semantic Rule-based Approach Supported by Process Mining for Personalised Adaptive Learning. Procedia Computer Science. 37, pp. 203-210.
Frequent Pattern Mining Algorithms for Finding Associated Frequent Patterns for Data Streams: A Survey
Nasreen, Shamila, Azam, Muhammad Awais, Shehzad, Khurram, Naeem, U. and Ghazanfar, Mustansar Ali 2014. Frequent Pattern Mining Algorithms for Finding Associated Frequent Patterns for Data Streams: A Survey. Procedia Computer Science. 37, pp. 109-116.
Statistical Sampling Approach to Investigate Child Pornography Cases
Sarantinos, N., Al-Nemrat, A. and Naeem, U. 2013. Statistical Sampling Approach to Investigate Child Pornography Cases. 2013 Fourth Cybercrime and Trustworthy Computing Workshop (CTC). Sydney NSW, Australia 21 - 22 Nov 2013 IEEE. https://doi.org/10.1109/CTC.2013.14
A Framework to Recognise Daily Life Activities with Wireless Proximity and Object Usage Data
Azam, M.A., Loo, J., Naeem, U., Khan, S.K.A., Lasebae, A. and Gemikonakli, O. 2012. A Framework to Recognise Daily Life Activities with Wireless Proximity and Object Usage Data. in: Proceedings of 23rd IEEE International Symposium on Personal, Indoor and Mobile Radio Communication 2012 IEEE. pp. 590-595
Behavioural Patterns Analysis of Low Entropy People Using Proximity Data
Azam, M.A., Loo, J., Khan, S.K.A., Naeem, U., Adeel, M. and Ejaz, Waleed 2012. Behavioural Patterns Analysis of Low Entropy People Using Proximity Data. Innovative Information Science & Technology Research Group.
A Comparison of Two Hidden Markov Approaches to Task Identification in the Home Environment
Naeem, U. and Bigham, John 2007. A Comparison of Two Hidden Markov Approaches to Task Identification in the Home Environment. Proceedings of the 2nd International Conference on Pervasive Computing and Applications, Birmingham, UK, 2007, pp. 383-388
Recognising Activities of Daily Life Using Hierarchical Plans
Naeem, U., Bigham, John and Wang, Jinfu 2007. Recognising Activities of Daily Life Using Hierarchical Plans. Proceedings of the 2nd European Conference on Smart Sensing and Context, LNCS 4793, Lake District, UK, 2007, pp. 175-189
A Hierarchal Approach to Activity Recognition in the Home Environment based on Object Usage
Naeem, U. and Bigham, John 2008. A Hierarchal Approach to Activity Recognition in the Home Environment based on Object Usage. Proceedings of the 2008 Networking and Electronic Commerce Research Conference (NAEC 2008), Lake Garda, Italy, 2008, pp. 48-54
Recognising Activities of Daily Life through the Usage of Everyday Objects around the Home
Naeem, U. and Bigham, John 2009. Recognising Activities of Daily Life through the Usage of Everyday Objects around the Home. Proceedings of the 3rd International Conference on Pervasive Computing Technologies for Healthcare. Technologies to Counter Cognitive Decline Workshop London
Activity Recognition using a Hierarchical Framework
Naeem, U. and Bigham, John 2008. Activity Recognition using a Hierarchical Framework. Proceedings of the 2nd International Conference on Pervasive Computing Technologies for Healthcare, Ambient Technologies for Diagnosing and Monitoring Chronic Patients Workshop, Tampere, Finland, 2008, IEEE pp. 24-27