activity
20172021
most citedFederated Learning over Energy Harvesting Wireless Networks

70 citations · 106 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT202170 cited

Federated Learning over Energy Harvesting Wireless Networks

Rami Hamdi, Mingzhe Chen, Ahmed Ben Said +2

In this paper, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base station (BS) employs massive multiple-input mult…

cs.CV202122 cited

Dairy Cow rumination detection: A deep learning approach

Safa Ayadi, Ahmed ben said, Rateb Jabbar +3

Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus, changes in the livestock behavior are a critical indicator for early detection and p…

cs.SI20205 cited

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

Ahmed Ben Said, Abdelkarim Erradi, Hussein Aly +1

To reduce the impact of COVID-19 pandemic most countries have implemented several counter-measures to control the virus spread including school and border closing, shutting down pu…

cs.NI20191 cited

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

Mobile crowdsourcing has become easier thanks to the widespread of smartphones capable of seamlessly collecting and pushing the desired data to cloud services. However, the success…

cs.LG20178 cited

Multimodal deep learning approach for joint EEG-EMG data compression and classification

Ahmed Ben Said, Amr Mohamed, Tarek Elfouly +2

In this paper, we present a joint compression and classification approach of EEG and EMG signals using a deep learning approach. Specifically, we build our system based on the deep…