A FCM and SURF Based Algorithm for Segmentation of Multispectral Face Images. - Ahmed Ben Said; Sebti Foufou; Mongi A. Abidi (SITIS, 2013)

Cluster validity index based on n-sphere. - Ahmed Ben Said; Sebti Foufou; Mongi A. Abidi (AICCSA, 2014)

Gravitational weighted fuzzy c-means with application on multispectral image segmentation. - Ahmed Ben Said; Rachid Hadjidj; Sebti Foufou (IPTA, 2014)

Modified total variation regularization using fuzzy complement for image denoising. - Ahmed Ben Said; Sebti Foufou (IVCNZ, 2015)

Multispectral Image Denoising Using Optimized Vector NLM Filter. - Ahmed Ben Said; Sebti Foufou (PSIVT, 2015)

Multispectral imaging and its use for face recognition : sensory data enhancement. (Imagerie multispectrale et son usage pour la reconnaissance de visage : amélioration des données sensorielles). - Ahmed Ben Said (2015)

Multispectral image denoising with optimized vector non-local mean filter. - Ahmed Ben Said; Rachid Hadjidj; Kamal Eddine Melkemi; Sebti Foufou (Digit. Signal Process., 2016)

Edge guided total variation for image denoising. - Ahmed Ben Said; Rachid Hadjidj; Sebti Foufou; Mongi A. Abidi (CISS, 2017)

Deep learning approach for EEG compression in mHealth system. - Ahmed Ben Said; Amr Mohamed 001; Tarek Elfouly (IWCMC, 2017)

Multimodal Deep Learning Approach for Joint EEG-EMG Data Compression and Classification. - Ahmed Ben Said; Amr Mohamed 001; Tarek Elfouly; Khaled A. Harras; Z. Jane Wang 001 (WCNC, 2017)

Cluster validity index based on Jeffrey divergence. - Ahmed Ben Said; Rachid Hadjidj; Sebti Foufou (Pattern Anal. Appl., 2017)

Mobile Crowdsourced Sensors Selection for Journey Services. - Ahmed Ben Said; Abdelkarim Erradi; Azadeh Ghari Neiat; Athman Bouguettaya (ICSOC, 2018)

Deep learning and low rank dictionary model for mHealth data classification. - Ahmed Ben Said; Amr Mohamed 001; Tarek Elfouly; Khalid Abualsaud; Khaled A. Harras (IWCMC, 2018)

A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems. - Ahmed Ben Said; Mohamed Fathi Al-Sa'D; Mounira Tlili; Alaa Awad Abdellatif; Amr Mohamed 001; Tarek Elfouly; Khaled A. Harras; Mark Dennis O'Connor (IEEE Access, 2018)

Deep-Gap: A Deep Learning Framework for Forecasting Crowdsourcing Supply-Demand Gap Based on Imaging Time Series and Residual Learning. - Ahmed Ben Said; Abdelkarim Erradi (CloudCom, 2019)

A Probabilistic Approach for Maximizing Travel Journey WiFi Coverage Using Mobile Crowdsourced Services. - Ahmed Ben Said; Abdelkarim Erradi (IEEE Access, 2019)

Total Variation for Image Denoising Based on a Novel Smart Edge Detector: An Application to Medical Images. - Ahmed Ben Said; Rachid Hadjidj; Sebti Foufou (J. Math. Imaging Vis., 2019)

A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services. - Ahmed Ben Said; Abdelkarim Erradi; Azadeh Ghari Neiat; Athman Bouguettaya (Mob. Networks Appl., 2019)

Dairy Cow Rumination Detection: A Deep Learning Approach. - Safa Ayadi; Ahmed Ben Said; Rateb Jabbar; Chafik Aloulou; Achraf Chabbouh; Ahmed Ben Achballah (DiCES-N, 2020)

Using Deep Learning to Predict Stock Movements Direction in Emerging Markets: The Case of Qatar Stock Exchange. - Saleh S. Alhazbi; Ahmed Ben Said; Alanoud Al-Maadid (ICIoT, 2020)

Multiview topological data analysis for crowdsourced service supply-demand gap prediction. - Ahmed Ben Said; Abdelkarim Erradi (IWCMC, 2020)

A deep-learning model for evaluating and predicting the impact of lockdown policies on COVID-19 cases. - Ahmed Ben Said; Abdelkarim Erradi; Hussein Aly 001; Abdelmonem Mohamed (CoRR, 2020)

Predicting COVID-19 cases using Bidirectional LSTM on multivariate time series. - Ahmed Ben Said; Abdelkarim Erradi; Hussein Aly 001; Abdelmonem Mohamed (CoRR, 2020)

User Scheduling in Federated Learning over Energy Harvesting Wireless Networks. - Rami Hamdi; Mingzhe Chen; Ahmed Ben Said; Marwa K. Qaraqe; H. Vincent Poor (GLOBECOM, 2021)

Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer. - Rami Hamdi; Ahmed Ben Said; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (GLOBECOM, 2021)

Reshaping Smart Energy Transition: An analysis of human-building interactions in Qatar Using Machine Learning Techniques. - Rateb Jabbar; Esmat Zaidan; Ahmed Ben Said; Ali Ghofrani (CoRR, 2021)

Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review. - Rateb Jabbar; Eya Dhib; Ahmed Ben Said; Moez Krichen; Noora Fetais; Esmat Zaidan; Kamel Barkaoui (IEEE Access, 2022)

Federated Learning Over Energy Harvesting Wireless Networks. - Rami Hamdi; Mingzhe Chen; Ahmed Ben Said; Marwa K. Qaraqe; H. Vincent Poor (IEEE Internet Things J., 2022)

Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation. - Ahmed Ben Said; Abdelkarim Erradi (IEEE Trans. Intell. Transp. Syst., 2022)

LIME: Long-Term Forecasting Model for Desalination Membrane Fouling to Estimate the Remaining Useful Life of Membrane. - Sohaila Eltanbouly; Abdelkarim Erradi; Ashraf Tantawy; Ahmed Ben Said; Khaled B. Shaban; Hazim Qiblawey (IEA/AIE (2), 2023)

AI Recommendation System for Enhanced Customer Experience: A Novel Image-to-Text Method. - Mohamaed Foued Ayedi; Hiba Ben Salem; Soulaimen Hammami; Ahmed Ben Said; Rateb Jabbar; Achraf Chabbouh (CoRR, 2023)

Machine learning for prediction of the uniaxial compressive strength within carbonate rocks. - Mohamed Abdelhedi; Rateb Jabbar; Ahmed Ben Said; Noora Fetais; Chedly Abbes (Earth Sci. Informatics, 2023)

Optimal Resource Management for Hierarchical Federated Learning Over HetNets With Wireless Energy Transfer. - Rami Hamdi; Ahmed Ben Said; Emna Baccour; Aiman Erbad; Amr Mohamed 001; Mounir Hamdi; Mohsen Guizani (IEEE Internet Things J., 2023)

Enhancing Hardware Trojan Detection: A Dual-Path CNN Approach to Side-Channel Analysis. - Arash Golabi; Abdelkarim Erradi; Ahmed Ben Said; Abdulla K. Al-Ali; Uvais Qidwai (ICM, 2024)

Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods. - Arash Golabi; Abdelkarim Erradi; Hazim Qiblawey; Ashraf Tantawy; Ahmed Ben Said; Khaled B. Shaban (Appl. Intell., 2024)

Performance prediction in online academic course: a deep learning approach with time series imaging. - Ahmed Ben Said; Abdel-Salam G. Abdel-Salam; Khalifa Abdulla Hazaa (Multim. Tools Appl., 2024)

A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout. - Arash Golabi; Abdelkarim Erradi; Ahmed Ben Said; Abdulla K. Al-Ali; Uvais Qidwai (Int. J. Inf. Sec., 2025)