XGBoost Model for Predicting Property Prices in the UK Real Estate Market

Conference paper

Nwora, P. A., Safieddine, F. and Ahad, M. A. R. 2025. XGBoost Model for Predicting Property Prices in the UK Real Estate Market. 13th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2025). 06 - 07 Jun 2025 Springer Nature.
AuthorsNwora, P. A., Safieddine, F. and Ahad, M. A. R.
TypeConference paper
Abstract

This study contributes to the enhancement of the predictive models and mitigating regression problem, using data science machine learning approach. It critically evaluates studies that have been done within the predictive valuation, forecasting models, using the current technological trends in machine learning, through the proposed framework: Sustainable Feature Machine Learning Agile Framework (SFMLAF). SFMLAF suggests that our proposed model based on XGBoost demonstrated better accuracy based on these results; utilizing the following validation metrics: XGBoost RMSE: 0.444, MAPE: 1.94%, MAE: 0.234. The required datasets were sourced online from the UK government property sold dataset, under the Open Government licence v.3.0, focusing on four UK cities with the following data observations: London: 658,337, Peterborough: 44,635, Leeds: 102,984, and Manchester: 154,626. In conclusion, the proposed predictive model aims to deliver practical benefits for real estate professionals, homebuyers and sellers by enhancing the accuracy and reliability of property valuation in the UK market.

Year2025
Conference13th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2025)
PublisherSpringer Nature
Accepted author manuscript
License
File Access Level
Anyone
Publication process dates
Accepted07 Mar 2025
Deposited16 Sep 2025
Journal citationp. In press
ISSN2190-3026
2190-3018
Book titleEvolution in Computational Intelligence Proceedings of the 13th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2025)
Web address (URL) of conference proceedingshttps://link.springer.com/series/8767
Copyright holder© 2025 The Authors
Permalink -

https://repository.uel.ac.uk/item/8zz5w

Log in to edit

File access - Request a copy

Restricted files

Accepted author manuscript

  • 2768
    total views
  • 1
    total downloads
  • 123
    views this month
  • 0
    downloads this month

Export as

Related outputs

MMF-Gait: A Multi-Model Fusion-Enhanced Gait Recognition Framework Integrating Convolutional and Attention Networks
Hasan, K., Tuhin, K. A., Bapary, M. R. I., Doula, M. S. U., Alam, M. A., Ahad, M. and Uddin, M. Z. 2025. MMF-Gait: A Multi-Model Fusion-Enhanced Gait Recognition Framework Integrating Convolutional and Attention Networks. Symmetry. 17 (7), p. Art. 1155. https://doi.org/10.3390/sym17071155
A deep learning model with interpretable squeeze-and-excitation for automated rehabilitation exercise assessment
Raihan, M. J., Ahad, M. A. R. and Nahid, A. A. 2025. A deep learning model with interpretable squeeze-and-excitation for automated rehabilitation exercise assessment. Medical & Biological Engineering & Computing. 63, p. 2871–2887. https://doi.org/10.1007/s11517-025-03372-4
Machine Learning-Based Prediction of Depressive Disorders via Various Data Modalities: A Survey
Li, Q., Liu, X., Hu, X., Ahad, M., Ren, M., Yao, L. and Huang, Y. 2025. Machine Learning-Based Prediction of Depressive Disorders via Various Data Modalities: A Survey. IEEE/CAA Journal of Automatica Sinica. 12 (7), pp. 1320 - 1349. https://doi.org/10.1109/JAS.2025.125393
View-embedding GCN for skeleton-based cross-view gait recognition
Uddin, M. Z., Ray, A., Das, B. and Ahad, M. A. R. 2025. View-embedding GCN for skeleton-based cross-view gait recognition. IEEE Transactions on Human-Machine Systems. p. In press. https://doi.org/10.1109/THMS.2025.3595213
Automated Autism Assessment With Multimodal Data and Ensemble Learning: A Scalable and Consistent Robot-Enhanced Therapy Framework
Hassan, I., Nahid, N., Islam, M., Hossain, S., Schuller, B. and Ahad, M. 2025. Automated Autism Assessment With Multimodal Data and Ensemble Learning: A Scalable and Consistent Robot-Enhanced Therapy Framework. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33, pp. 1191-1201. https://doi.org/10.1109/TNSRE.2025.3546519
Predictive Modeling for Heatstroke Risk Forecasting Integrating Physiological Features Using Ensemble Classifier
Sheikh, M. M., Hossain, S. and Ahad, M. A. R. 2025. Predictive Modeling for Heatstroke Risk Forecasting Integrating Physiological Features Using Ensemble Classifier. in: Inoue, S., Lopez, G., Hossain, T. and Ahad, M. A. R. (ed.) Activity, Behavior, and Healthcare Computing CRC Press.
A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification
Rahman, A., Nahid, N., Schuller, S. and Ahad, M. 2024. A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification. Scientific Reports. 14 (Art. 31667). https://doi.org/10.1038/s41598-024-81228-x
Horizontal and Vertical Part-Wise Feature Extraction for Cross-View Gait Recognition
Uddin, M. Z., Hasan, K., Ahad, M. and Alnajjar, F. 2024. Horizontal and Vertical Part-Wise Feature Extraction for Cross-View Gait Recognition. IEEE Access. 12, pp. 185511-185527. https://doi.org/10.1109/ACCESS.2024.3513541
Multi-Biometric Feature Extraction from Multiple Pose Estimation Algorithms for Cross-View Gait Recognition
Ray, A., Uddin, Z., Hasan, K., Melody, Z. R., Sarker, P. K. and Ahad, M. 2024. Multi-Biometric Feature Extraction from Multiple Pose Estimation Algorithms for Cross-View Gait Recognition. Sensors. 24 (23), p. Art. 7669. https://doi.org/10.3390/s24237669
Improving Gait Recognition Through Occlusion Detection and Silhouette Sequence Reconstruction
Hasan, K., Uddin, Z., Ray, A., Hasan, M., Alnajjar, F. and Ahad, M. 2024. Improving Gait Recognition Through Occlusion Detection and Silhouette Sequence Reconstruction. IEEE Access. 12, pp. 158597-158610. https://doi.org/10.1109/ACCESS.2024.3482430
Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2024
Yu, S., Wu, W., Hu, J., Wang, Z., Wang, J., Zhang, M., Wang, R., Ni, Y., Huang, Y., Wang, L. and Ahad, M. A. R. 2024. Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2024. 2024 IEEE International Joint Conference on Biometrics (IJCB 2024). Buffalo, USA 15 - 18 Sep 2024 IEEE. https://doi.org/10.1109/IJCB62174.2024.10744507
Optimizing Endotracheal Suctioning Classification: Leveraging Prompt Engineering in Machine Learning for Feature Selection
Islam, M. R., Ferodous, A. M., Hossain, S., Alnajjar, F. and Ahad, M. 2024. Optimizing Endotracheal Suctioning Classification: Leveraging Prompt Engineering in Machine Learning for Feature Selection. ABC 2024: 6th International Conference on Activity and Behavior Computing. Kyushu, Japan 28 - 31 May 2024 IEEE. https://doi.org/10.1109/ABC61795.2024.10652117
Bacterial Behaviour Analysis Through Image Segmentation Using Deep Learning Approaches
Rahman, A., Rahman, M. and Ahad, M. 2024. Bacterial Behaviour Analysis Through Image Segmentation Using Deep Learning Approaches. AIiH 2024: 1st International Conference on Artificial Intelligence in Healthcare. Swansea, UK 04 - 06 Sep 2024 Springer. https://doi.org/10.1007/978-3-031-67285-9_13
Nurse Activity Recognition based on Temporal Frequency Features
Rahman, M. S., Rahman, H. R., Zarif, A., Pritom, Y. A. and Ahad, M. A. R. 2024. Nurse Activity Recognition based on Temporal Frequency Features. in: Ahad, M. A. R., Inoue, S., Lopez, G. and Hossain, T. (ed.) Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors, Vol. 1 CRC Press: Taylor & Francis Group. pp. 311-322
A Sequential-based Analytical Approach for Nurse Care Activity Forecasting
Sheikh, M. M., Hossain, S. and Ahad, M. A. R. 2024. A Sequential-based Analytical Approach for Nurse Care Activity Forecasting. in: Ahad, M. A. R., Inoue, S., Lopez, G. and Hossain, T. (ed.) Human Activity and Behavior Analysis Advances in Computer Vision and Sensors: Volume 1 CRC Press: Taylor & Francis Group. pp. 349-368
Psychological Analysis in Human-Robot Collaboration from Workplace Stress Factors: A Review
Nahid, N., Xinyi, M., Inoue, S. and Ahad, M. A. R. 2024. Psychological Analysis in Human-Robot Collaboration from Workplace Stress Factors: A Review. in: Ahad, M. A. R., Inoue, S., Lopez, G. and Hossain, T. (ed.) Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 2 Boca Raton, Florida CRC Press: Taylor & Francis Group. pp. 165-197
Static Sign Language Recognition Using Segmented Images and HOG on Cluttered Backgrounds
Sadeghzadeh, A., Islam, B. and Ahad, M. A. R. 2024. Static Sign Language Recognition Using Segmented Images and HOG on Cluttered Backgrounds. in: Ahad, M. A. R., Inoue, S., Lopez, G. and Hossain, T. (ed.) Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 2 Boca Raton, Florida CRC Press: Taylor & Francis Group. pp. 23-45
E2ETCA: End-to-end training of CNN and attention ensembles for rice disease diagnosis
Uddin, M. Z., Mahamood, M. N., Ray, A., Pramanik, M. I., Alnajjar, F. and Ahad, M. A. R. 2024. E2ETCA: End-to-end training of CNN and attention ensembles for rice disease diagnosis. Journal of Integrative Agriculture. In Press. https://doi.org/10.1016/j.jia.2024.03.075
Elderly Motion Analysis to Estimate Emotion: A Systematic Review
Hassan, I., Nahid, N., Ahad, M. and Inoue, S. 2024. Elderly Motion Analysis to Estimate Emotion: A Systematic Review. International Journal of Activity and Behavior Computing. (2), pp. 1-23. https://doi.org/10.60401/ijabc.23
Integrating Human Behavioral Model for Intimate-distance Human Robot Collaboration
Nahid, N., Hassan, I., Min, X., Ryoke, N., Ahad, M. and Inoue, S. 2024. Integrating Human Behavioral Model for Intimate-distance Human Robot Collaboration. International Journal of Activity and Behavior Computing. (2), pp. 1-26. https://doi.org/10.60401/ijabc.27
Generative AI for Recognizing Nurse Training Activities in Skeleton-Based Video Data
Mamun, M., Hossain, S., Islam, M. B. and Ahad, M. A. R. 2024. Generative AI for Recognizing Nurse Training Activities in Skeleton-Based Video Data. International Journal of Activity and Behavior Computing. 2024 (3), pp. 1-20. https://doi.org/10.60401/ijabc.34
Enhancing Nursing Activity Recognition During Endotracheal Suctioning Through Video-based Pose Estimation and Machine Learning
Islam, S., Hossain, S. M. H., Uddin, M. Z., Hossain, S. and Ahad, M. 2024. Enhancing Nursing Activity Recognition During Endotracheal Suctioning Through Video-based Pose Estimation and Machine Learning. International Journal of Activity and Behavior Computing. 2024 (3), pp. 1-15. https://doi.org/10.60401/ijabc.36
Stereoscopic Video Deblurring Transformer
Imani, H., Islam, M. B., Junayed, M, S. and Ahad, M. A R. 2024. Stereoscopic Video Deblurring Transformer. Scientific Reports. 14 (Art. 14342). https://doi.org/10.1038/s41598-024-63860-9
Learn Programming with C: An Easy Step-by-Step Self-Practice Book for Learning C
Imran, S. M. S. and Ahad, M. A. R. 2024. Learn Programming with C: An Easy Step-by-Step Self-Practice Book for Learning C. CRC Press: Taylor & Francis Group.
Deep learning with image-based autism spectrum disorder analysis: A systematic review
Uddin, M. Z., Shahriar, M. A., Mahamood, M. N., Alnajjar, F., Pramanik, M. I. and Ahad, M. A. R. 2024. Deep learning with image-based autism spectrum disorder analysis: A systematic review. Engineering Applications of Artificial Intelligence. 127 (Art. 107185). https://doi.org/10.1016/j.engappai.2023.107185
Identification of A.I. Generated Deep Fake Video by Higher Education Students
Delchev, K., Safieddine, F. and Hammad, R. 2024. Identification of A.I. Generated Deep Fake Video by Higher Education Students. 12th Computing Conference 2024. London, United Kingdom 26 - 27 Jun 2024 Springer, Cham. https://doi.org/10.1007/978-3-031-62281-6_33
ASD-EVNet: An Ensemble Vision Network based on Facial Expression for Autism Spectrum Disorder Recognition
Jaby, A., Islam, M. B. and Ahad, M. A. R. 2023. ASD-EVNet: An Ensemble Vision Network based on Facial Expression for Autism Spectrum Disorder Recognition. 18th International Conference on Machine Vision and Applications (MVA). Hamamatsu, Japan 23 - 25 Jul 2023 IEEE. https://doi.org/10.23919/MVA57639.2023.10215688
Unsupervised Stereoscopic Video Style Transfer
Imani, H., Islam, M. B. and Ahad, M. A. R. 2023. Unsupervised Stereoscopic Video Style Transfer. ASYU 2023: Innovations in Intelligent Systems and Applications Conference. Sivas, Türkiye 11 - 13 Oct 2023 IEEE. https://doi.org/10.1109/ASYU58738.2023.10296716
Human Identification at a Distance: Challenges, Methods and Results on HID 2023
Yu, S., Weng, C., Zhao, Y., Wang, L., Wang, M., Li, Q., Li, W., Wang, R., Huang, Y., Wang, L., Makihara, Y. and Ahad, M. A. R. 2023. Human Identification at a Distance: Challenges, Methods and Results on HID 2023. IJCB 2023: IEEE International Joint Conference on Biometrics. Ljubljana, Slovenia 25 - 28 Sep 2023 IEEE. https://doi.org/10.1109/IJCB57857.2023.10448952
Autism Spectrum Disorder Classification via Local and Global Feature Representation of Facial Image
Mahamood, M. N., Uddin, M. Z., Shahriar, M. A., Alnajjar, F. and Ahad, M. A. R. 2023. Autism Spectrum Disorder Classification via Local and Global Feature Representation of Facial Image. SMC 2023: IEEE International Conference on Systems, Man, and Cybernetics. Hawaii, USA 01 - 04 Oct 2023 IEEE. https://doi.org/10.1109/SMC53992.2023.10394092
Status of deep learning for EEG-based brain–computer interface applications
Hossain, K. M., Islam, M. A., Hossain, S., Nijholt, A. and Ahad, M. A. R. 2023. Status of deep learning for EEG-based brain–computer interface applications. Frontiers in Computational Neuroscience. 16 (Art. 1006763). https://doi.org/10.3389/fncom.2022.1006763
Annotator-dependent uncertainty-aware estimation of gait relative attributes
Shehata, A., Makihara, Y., Muramatsu, D., Ahad, M. and Yasushi, Y. 2023. Annotator-dependent uncertainty-aware estimation of gait relative attributes. Pattern Recognition. 136 (Art. 109197). https://doi.org/10.1016/j.patcog.2022.109197
Attitudes to Fake News Verification: Youth Orientations to ‘Right Click’ Authenticate
Ibrahim, Y., Safieddine, F. and Pourghomi, P. 2023. Attitudes to Fake News Verification: Youth Orientations to ‘Right Click’ Authenticate. Journal of Applied Journalism and Media Studies. 12 (1), pp. 77-97. https://doi.org/10.1386/ajms_00051_1
Signal Processing and Computer Vision
Ahad, M. A. R. and Ahmed, M. U. 2022. Signal Processing and Computer Vision. in: Electrical and Electronic Engineering: Prospects and Challenges Dhaka University Press. pp. 159-202
HID 2022: The 3rd International Competition on Human Identification at a Distance
Yu, S., Huang, Y., Wang, L., Makihara, Y., Wang, S., Ahad, M. and Nixon, M. 2022. HID 2022: The 3rd International Competition on Human Identification at a Distance. IJCB 2022: IEEE International Joint Conference on Biometrics. Abu Dhabi, UAE 10 - 13 Dec 2023 IEEE. https://doi.org/10.1109/IJCB54206.2022.10007993
Advances in Human Action, Activity and Gesture Recognition
Mahbub, U. and Ahad, M. 2022. Advances in Human Action, Activity and Gesture Recognition. Pattern Recognition Letters. 155, pp. 186-190. https://doi.org/10.1016/j.patrec.2021.11.003
Automated detection approaches to autism spectrum disorder based on human activity analysis: A review
Rahman, S., Ahmed, S. F., Shahid, O., Arrafi, M. A. and Ahad, M. A. R. 2022. Automated detection approaches to autism spectrum disorder based on human activity analysis: A review. Cognitive Computation. 14, pp. 1773-1800. https://doi.org/10.1007/s12559-021-09895-w
Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove
Faisal, M. A. A., Abir, F. F., Ahmed, M. U. and Ahad, M. A. R. 2022. Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove. Scientific Reports. 12 (Art. 21446). https://doi.org/10.1038/s41598-022-25108-2
A Probabilistic Data Fusion Modeling Approach for Extracting True Values from Uncertain and Conflicting Attributes
Jaradat, A., Safieddine, F., Deraman, A., Ali, O., Al-Ahmad, A. and Alzoubi, Y. I. 2022. A Probabilistic Data Fusion Modeling Approach for Extracting True Values from Uncertain and Conflicting Attributes. Big Data and Cognitive Computing. 6 (Art. 114). https://doi.org/10.3390/bdcc6040114
Towards Sustainable Production Processes Reengineering: Case Study at INCOM Egypt
Ismail, R. F., Safieddine, F., Hammad, R. and Kantakji, M. H. 2022. Towards Sustainable Production Processes Reengineering: Case Study at INCOM Egypt. Sustainability. 14 (Art. 6564). https://doi.org/10.3390/su14116564
A Sleep Monitoring System Using Ultrasonic Sensors
Shammi, U. A. and Ahad, M. 2022. A Sleep Monitoring System Using Ultrasonic Sensors. International Journal of Biomedical Soft Computing and Human Sciences. 27 (1), pp. 13-20. https://doi.org/10.24466/ijbschs.27.1_13
Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity?
Nazmus Sakib, A. H. M., Basak, P., Doha Uddin, S., Mustavi Tasin, S. and Ahad, M. 2022. Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity? ABC 2021: 3rd International Conference on Activity and Behavior Computing. Online 22 - 23 Oct 2021 Springer Singapore. https://doi.org/10.1007/978-981-19-0361-8_10
Identification of Food Packaging Activity Using MoCap Sensor Data
Anwar, A., Islam Tapotee, M., Saha, P. and Ahad, M. 2022. Identification of Food Packaging Activity Using MoCap Sensor Data. ABC 2021: 3rd International Conference on Activity and Behavior Computing. Online 22 - 23 Oct 2021 Springer Singapore. https://doi.org/10.1007/978-981-19-0361-8_11
Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features
Pritom, Y. A., Rahman, M. S., Rahman, H. R., Kowshik, M. A. and Ahad, M. 2022. Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features. ABC 2021: 3rd International Conference on Activity and Behavior Computing. Online 22 - 23 Oct 2021 Springer Singapore. https://doi.org/10.1007/978-981-19-0361-8_12
Bento Packaging Activity Recognition Based on Statistical Features
Rakib Sayem, F., Sheikh, M. M. and Ahad, M. 2022. Bento Packaging Activity Recognition Based on Statistical Features. ABC 2021: 3rd International Conference on Activity and Behavior Computing. Online 22 - 23 Oct 2021 Springer Singapore. https://doi.org/10.1007/978-981-19-0361-8_13
MUMAP: Modified Ultralightweight Mutual Authentication protocol for RFID enabled IoT networks
Raju, M. H., Ahmed, M. U. and Ahad, M. A. R. 2021. MUMAP: Modified Ultralightweight Mutual Authentication protocol for RFID enabled IoT networks. Journal of the Institute of Industrial Applications Engineers. 9 (2), pp. 33-39. https://doi.org/10.12792/JIIAE.9.33
Emotion Recognition from EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Islam, M. R., Moni, M. A., Islam, M. M., Rashed-Al-Mahfuz, M., Islam, M. S., Hasan, M. K., Hossain, M. S., Ahmad, M., Uddin, S., Azad, A., Alyami, S. A., Ahad, M. A. R. and Lió, P. 2021. Emotion Recognition from EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access. 9, pp. 94601-94624. https://doi.org/10.1109/ACCESS.2021.3091487
Static Postural Transition-based Technique and Efficient Feature Extraction for Sensor-based Activity Recognition
Ahmed, M., Das Antar, A. and Ahad, M. 2021. Static Postural Transition-based Technique and Efficient Feature Extraction for Sensor-based Activity Recognition. Pattern Recognition Letters. 147, pp. 25-33. https://doi.org/10.1016/j.patrec.2021.04.001
Recognition of human locomotion on various transportations fusing smartphone sensors
Das Antar, A., Ahmed, M. and Ahad, M. 2021. Recognition of human locomotion on various transportations fusing smartphone sensors. Pattern Recognition Letters. 148, pp. 146-153. https://doi.org/10.1016/j.patrec.2021.04.015
Activity Recognition from Accelerometer Data Based on Supervised Learning for Wireless Sensor Network
Israt, F. A., Hossain, T., Inoue, S. and Ahad, M. A. R. 2021. Activity Recognition from Accelerometer Data Based on Supervised Learning for Wireless Sensor Network. International Journal of Biomedical Soft Computing and Human Sciences. 26 (2), pp. 73-86. https://doi.org/10.24466/ijbschs.26.2_73
Action recognition using Kinematics Posture Feature on 3D skeleton joint locations
Ahad, M. A. R., Ahmed, M., Antar, A. D., Makihara, Y. and Yagi. Y. 2021. Action recognition using Kinematics Posture Feature on 3D skeleton joint locations. Pattern Recognition Letters. 145, pp. 216-224. https://doi.org/10.1016/j.patrec.2021.02.013
Exploring Human Activities Using eSense Earable Device
Islam, M. S., Hossain, T., Ahad, M. and Inoue, S. 2021. Exploring Human Activities Using eSense Earable Device. in: Ahad, M., Inoue, S., Roggen, D. and Fujinami, K. (ed.) Activity and Behavior Computing Springer Singapore. pp. 169–185
Contactless Human Monitoring: Challenges and Future Direction
Mahbub, U., Rahman, T. and Ahad, M. 2021. Contactless Human Monitoring: Challenges and Future Direction. in: Ahad, M., Mahbub, U. and Ahad, M. (ed.) Contactless Human Activity Analysis Springer, Cham. pp. 335-364
Contactless Human Emotion Analysis Across Different Modalities
Nahid, N., Rahman, A. and Ahad, M. 2021. Contactless Human Emotion Analysis Across Different Modalities. in: Ahad, M., Mahbub, U. and Rahman, T. (ed.) Contactless Human Activity Analysis Springer, Cham. pp. 237-269
Contactless Fall Detection for the Elderly
Nahian, M. J. A., Raju, M. H., Tasnim, Z., Mahmud, M., Ahad, M. and Kaiser, M. S. 2021. Contactless Fall Detection for the Elderly. in: Ahad, M., Mahbub, U. and Rahman, T. (ed.) Contactless Human Activity Analysis Springer, Cham. pp. 203-235
Signal Processing for Contactless Monitoring
Billah, M. S., Ahad, M. and Mahbub, U. 2021. Signal Processing for Contactless Monitoring. in: Ahad, M., Mahbub, U. and Rahman, T. (ed.) Contactless Human Activity Analysis Springer, Cham. pp. 113-144
Skeleton-Based Activity Recognition: Preprocessing and Approaches
Sarker, S., Rahman, S., Hossain, T., Faiza Ahmed, S., Jamal, L. and Ahad, M. 2021. Skeleton-Based Activity Recognition: Preprocessing and Approaches. in: Ahad, M., Mahbub, U. and Rahman, T. (ed.) Contactless Human Activity Analysis Springer, Cham. pp. 48-81
IoT Sensor-Based Activity Recognition: Human Activity Recognition
Ahad, M., Antar, A. D. and Ahmed, M. 2021. IoT Sensor-Based Activity Recognition: Human Activity Recognition. Springer, Cham.
Mobile Instant Messaging (M.I.M.) in Improving SME in Manufacturing: Case Study
Safieddine, F. and Nakhoul, I. 2021. Mobile Instant Messaging (M.I.M.) in Improving SME in Manufacturing: Case Study. Wireless Personal Communications. 119 (2), pp. 1799-1815. https://doi.org/10.1007/s11277-021-08307-4
A Method for Sensor-Based Activity Recognition in Missing Data Scenario
Hossain, T., Ahad, M. A. R. and Inoue, S. 2020. A Method for Sensor-Based Activity Recognition in Missing Data Scenario. Sensors. 20 (14), pp. 1-23. https://doi.org/10.3390/s20143811
An AI-based Visual Aid with Integrated Reading Assistant for the Completely Blind
Khan, M. A., Paul, P., Rashid, M., Hossain, M. and Ahad, M. 2020. An AI-based Visual Aid with Integrated Reading Assistant for the Completely Blind. IEEE Transactions on Human-Machine Systems. 50 (6), pp. 507-517. https://doi.org/10.1109/THMS.2020.3027534
Fake News: Origins and Political Impact
Hammad, R. and Safieddine, F. 2020. Fake News: Origins and Political Impact. in: Ibrahim, Y. (ed.) Handbook of Research on Recent Developments in Internet Activism and Political Participation IGI Global. pp. 103-121
Identifying Fake News from the Variables that Governs the Spread of Fake News
Dordevic, M., Pourghomi, P. and Safieddine, F. 2020. Identifying Fake News from the Variables that Governs the Spread of Fake News. SMAP 2020: 15th International Workshop on Semantic and Social Media Adaptation and Personalization. Zakynthos, GR 29 - 30 Oct 2020 IEEE. https://doi.org/10.1109/SMAP49528.2020.9248453
Facebook Fake Profile Identification: Technical and Ethical Considerations
Pourghomi, P., Dordevic, M. and Safieddine, F. 2019. Facebook Fake Profile Identification: Technical and Ethical Considerations. International Journal of Pervasive Computing and Communications. 16 (1), pp. 101-112. https://doi.org/10.1108/IJPCC-06-2019-0049
E-university delivery model: handling the evaluation process
Ismail, R., Safieddine, F. and Jaradat, A. 2019. E-university delivery model: handling the evaluation process. Business Process Management Journal. 25 (7), pp. 1633-1646. https://doi.org/10.1108/BPMJ-10-2018-0281
The Spreading of Misinformation online: 3D Simulation
Pourghomi, P., Dordevic, M. and Safieddine, F. 2018. The Spreading of Misinformation online: 3D Simulation. 2018 5th International Conference on Information Technology, Computer, and Electrical Engineering. Semarang, ID 26 - 28 Sep 2018 IEEE. https://doi.org/10.1109/ICITACEE.2018.8576937
Generic Business Process Model for SMEs in M-Commerce Based on Talabat’s Case Study
Safieddine, F. and Nakhoul, I. 2018. Generic Business Process Model for SMEs in M-Commerce Based on Talabat’s Case Study. 17th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2018. Kuwait City, Kuwait 30 Oct - 01 Nov 2018 Springer. https://doi.org/10.1007/978-3-030-02131-3_24
A best-effort integration framework for imperfect information spaces
Jaradat, A., Abu Halimeh, A., Deraman, A. and Safieddine, F. 2018. A best-effort integration framework for imperfect information spaces. International Journal of Intelligent Information and Database Systems. 11 (4), pp. 296 - 314. https://doi.org/10.1504/IJIIDS.2018.096592
Tablet Use in Teaching: A Study on Developing an Attitude Scale for Academics
Kayapinar, U., Spathopoulou, F., Safieddine, F., Nakhoul, I. and Kadry, S. 2018. Tablet Use in Teaching: A Study on Developing an Attitude Scale for Academics. Eurasian Journal of Educational Research. 78, pp. 219-234. https://doi.org/10.14689/ejer.2018.78.11
Right-click Authenticate adoption: The impact of authenticating social media postings on information quality
Pourghomi, P., Halimeh, A. A., Safieddine, F. and Masri, W. 2017. Right-click Authenticate adoption: The impact of authenticating social media postings on information quality. 2017 International Conference on Information and Digital Technologies (IDT). Zilina, SK 05 - 07 Jul 2017 IEEE. https://doi.org/10.1109/DT.2017.8024317
Spread of Misinformation Online: Simulation Impact of Social Media Newsgroups
Safieddine, F., Dordevic, M. and Pourghomi, P. 2017. Spread of Misinformation Online: Simulation Impact of Social Media Newsgroups. SAI Computing Conference 2017. London, UK 18 - 20 Jul 2017 IEEE. https://doi.org/10.1109/SAI.2017.8252201
Introducing B2i2C: an M-commerce model for SMEs
Nakhoul, I., Safieddine, F. and Ismail, R. 2017. Introducing B2i2C: an M-commerce model for SMEs. 2017 International Conference on Engineering & MIS (ICEMIS). Monastir, TN 08 - 10 May 2017 IEEE. https://doi.org/10.1109/ICEMIS.2017.8272964
How to Stop Spread of Misinformation on Social Media: Facebook Plans vs. Right-click Authenticate Approach
Pourghomi, P., Safieddine, F., Masri, W. and Dordevic, M. 2017. How to Stop Spread of Misinformation on Social Media: Facebook Plans vs. Right-click Authenticate Approach. 2017 International Conference on Engineering & MIS (ICEMIS). Monastir, TN 08 - 10 May 2017 IEEE. https://doi.org/10.1109/ICEMIS.2017.8272957
E-university Lecture Delivery Model: From Classroom to Virtual
Ismail, R., Safieddine, F. and Kulakli, A. 2017. E-university Lecture Delivery Model: From Classroom to Virtual. 2017 International Conference on Engineering & MIS (ICEMIS). Monastir, TN 08 - 10 May 2017 IEEE. https://doi.org/10.1109/ICEMIS.2017.8272983
Combating Misinformation Online: Identification of Variables and Proof-of-Concept Study
Dordevic, M., Safieddine, F., Masri, W. and Pourghomi, P. 2016. Combating Misinformation Online: Identification of Variables and Proof-of-Concept Study. 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016. Swansea, UK 13 - 15 Sep 2016 Springer. https://doi.org/10.1007/978-3-319-45234-0_40