Ahmed Ben Said

Orcid: 0000-0002-7760-8132

According to our database1, Ahmed Ben Said authored at least 33 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Optimal Resource Management for Hierarchical Federated Learning Over HetNets With Wireless Energy Transfer.
IEEE Internet Things J., October, 2023

Machine learning for prediction of the uniaxial compressive strength within carbonate rocks.
Earth Sci. Informatics, June, 2023

AI Recommendation System for Enhanced Customer Experience: A Novel Image-to-Text Method.
CoRR, 2023

LIME: Long-Term Forecasting Model for Desalination Membrane Fouling to Estimate the Remaining Useful Life of Membrane.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

2022
Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation.
IEEE Trans. Intell. Transp. Syst., 2022

Federated Learning Over Energy Harvesting Wireless Networks.
IEEE Internet Things J., 2022

Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review.
IEEE Access, 2022

2021
Reshaping Smart Energy Transition: An analysis of human-building interactions in Qatar Using Machine Learning Techniques.
CoRR, 2021

Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer.
Proceedings of the IEEE Global Communications Conference, 2021

User Scheduling in Federated Learning over Energy Harvesting Wireless Networks.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Predicting COVID-19 cases using Bidirectional LSTM on multivariate time series.
CoRR, 2020

A deep-learning model for evaluating and predicting the impact of lockdown policies on COVID-19 cases.
CoRR, 2020

Multiview topological data analysis for crowdsourced service supply-demand gap prediction.
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.
Proceedings of the IEEE International Conference on Informatics, 2020

Dairy Cow Rumination Detection: A Deep Learning Approach.
Proceedings of the Distributed Computing for Emerging Smart Networks, 2020

2019
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services.
Mob. Networks Appl., 2019

Total Variation for Image Denoising Based on a Novel Smart Edge Detector: An Application to Medical Images.
J. Math. Imaging Vis., 2019

A Probabilistic Approach for Maximizing Travel Journey WiFi Coverage Using Mobile Crowdsourced Services.
IEEE Access, 2019

Deep-Gap: A Deep Learning Framework for Forecasting Crowdsourcing Supply-Demand Gap Based on Imaging Time Series and Residual Learning.
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.
IEEE Access, 2018

Deep learning and low rank dictionary model for mHealth data classification.
Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

Mobile Crowdsourced Sensors Selection for Journey Services.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2017
Cluster validity index based on Jeffrey divergence.
Pattern Anal. Appl., 2017

Multimodal Deep Learning Approach for Joint EEG-EMG Data Compression and Classification.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Deep learning approach for EEG compression in mHealth system.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

Edge guided total variation for image denoising.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

2016
Multispectral image denoising with optimized vector non-local mean filter.
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).
PhD thesis, 2015

Multispectral Image Denoising Using Optimized Vector NLM Filter.
Proceedings of the Image and Video Technology - 7th Pacific-Rim Symposium, 2015

Modified total variation regularization using fuzzy complement for image denoising.
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.
Proceedings of the 4th International Conference on Image Processing Theory, 2014

Cluster validity index based on n-sphere.
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.
Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013


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