Ahmed Ben Said

According to our database, Ahmed Ben Said authored at least 36 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., May, 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., April, 2024

Enhancing Hardware Trojan Detection: A Dual-Path CNN Approach to Side-Channel Analysis.

Arash Golabi, Abdelkarim Erradi, Ahmed Ben Said, Abdulla Al-Ali, Uvais Qidwai

Proceedings of the International Conference on Microelectronics, 2024

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, Mounir Hamdi, Mohsen Guizani

IEEE Internet Things J., October, 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, June, 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

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

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

2022

Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation.

Ahmed Ben Said, Abdelkarim Erradi

IEEE Trans. Intell. Transp. Syst., 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

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

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

Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer.

Rami Hamdi, Ahmed Ben Said, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani

Proceedings of the IEEE Global Communications Conference, 2021

User Scheduling in Federated Learning over Energy Harvesting Wireless Networks.

Rami Hamdi, Mingzhe Chen, Ahmed Ben Said, Marwa K. Qaraqe, H. Vincent Poor

Proceedings of the IEEE Global Communications Conference, 2021

2020

Predicting COVID-19 cases using Bidirectional LSTM on multivariate time series.

Ahmed Ben Said, Abdelkarim Erradi, Hussein Aly, Abdelmonem Mohamed

CoRR, 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, Abdelmonem Mohamed

CoRR, 2020

Multiview topological data analysis for crowdsourced service supply-demand gap prediction.

Ahmed Ben Said, Abdelkarim Erradi

Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 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

Proceedings of the IEEE International Conference on Informatics, 2020

Dairy Cow Rumination Detection: A Deep Learning Approach.

Safa Ayadi, Ahmed Ben Said, Rateb Jabbar, Chafik Aloulou, Achraf Chabbouh, Ahmed Ben Achballah

Proceedings of the Distributed Computing for Emerging Smart Networks, 2020

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

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 Probabilistic Approach for Maximizing Travel Journey WiFi Coverage Using Mobile Crowdsourced Services.

Ahmed Ben Said, Abdelkarim Erradi

IEEE Access, 2019

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

Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

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, Tarek Elfouly, Khaled A. Harras, Mark Dennis O'Connor

IEEE Access, 2018

Deep learning and low rank dictionary model for mHealth data classification.

Ahmed Ben Said, Amr Mohamed, Tarek Elfouly, Khalid Abualsaud, Khaled A. Harras

Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

Mobile Crowdsourced Sensors Selection for Journey Services.

Ahmed Ben Said, Abdelkarim Erradi, Azadeh Ghari Neiat, Athman Bouguettaya

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2017

Cluster validity index based on Jeffrey divergence.

Ahmed Ben Said, Rachid Hadjidj, Sebti Foufou

Pattern Anal. Appl., 2017

Multimodal Deep Learning Approach for Joint EEG-EMG Data Compression and Classification.

Ahmed Ben Said, Amr Mohamed, Tarek Elfouly, Khaled A. Harras, Z. Jane Wang

Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Deep learning approach for EEG compression in mHealth system.

Ahmed Ben Said, Amr Mohamed, Tarek Elfouly

Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

Edge guided total variation for image denoising.

Ahmed Ben Said, Rachid Hadjidj, Sebti Foufou, Mongi A. Abidi

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

2016

Multispectral image denoising with optimized vector non-local mean filter.

Ahmed Ben Said, Rachid Hadjidj, Kamal Eddine Melkemi, Sebti Foufou

Digit. Signal Process., 2016

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

PhD thesis, 2015

Multispectral Image Denoising Using Optimized Vector NLM Filter.

Ahmed Ben Said, Sebti Foufou

Proceedings of the Image and Video Technology - 7th Pacific-Rim Symposium, 2015

Modified total variation regularization using fuzzy complement for image denoising.

Ahmed Ben Said, Sebti Foufou

Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

2014

Gravitational weighted fuzzy c-means with application on multispectral image segmentation.

Ahmed Ben Said, Rachid Hadjidj, Sebti Foufou

Proceedings of the 4th International Conference on Image Processing Theory, 2014

Cluster validity index based on n-sphere.

Ahmed Ben Said, Sebti Foufou, Mongi A. Abidi

Proceedings of the 11th IEEE/ACS International Conference on Computer Systems and Applications, 2014

2013

A FCM and SURF Based Algorithm for Segmentation of Multispectral Face Images.

Ahmed Ben Said, Sebti Foufou, Mongi A. Abidi

Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013