Dr Saeed Sharif
Name | Dr Saeed Sharif |
---|---|
Job title | Associate Professor |
Email address | saeed3@uel.ac.uk |
Research institute | Architecture, Computing & Engineering |
Research outputs
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. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022). Bahrain, University of Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990712Digital 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. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022). Bahrain, University of Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990620An 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. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022). Bahrain, University of Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990776Evaluating 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. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022). Bahrain, University of Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990849Effective 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. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022). Bahrain, University of Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990824Enhancement 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. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022). Bahrain, University of Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990811A 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 2022Predicting 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/10.1109/3ICT53449.2021.9582119An 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/10.1109/3ICT53449.2021.9581629An 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/10.1109/3ICT53449.2021.9581789Defeating 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/10.1109/3ICT53449.2021.9582060Dictionary 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/abc133An 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/sym12091495Positron 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.20190035Semantic-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.16.03.899A 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/sym12050866An 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.2020.2975135A 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/iCCECE46942.2019.8941615Context-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/iCCECE46942.2019.8941966Predicting 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/iCCECE46942.2019.8941730Variance 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/sym11121504Policy-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/10.1155/2019/4582391A 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/10.3217/978-3-85125-657-4-24A 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. 101-106A 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. 118-122An 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.2018.8658877Variance 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.2019.2899578Effect 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.2018.88528The 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_96Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network
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_34Medical 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. 91-96An 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. 180-185A 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.2017.08.297Taskification – 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 ACM. pp. 631-634SignalSense - 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 ACM. pp. 627-630CrimeSafe - 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 ACM. pp. 642-645Artificial 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/10.1155/2012/327861The 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.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-2015-306934An 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.2015.09.003Medical 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.2015.07.019Preparation 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.2014.01.009An 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.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/2014/5084Artificial 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/10.1155/2010/1056108056
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