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)

Analysis of Predictive Models for Revealing Household Characteristics using Smart Grid Data. - Hussein A. Aly 001; Abdulaziz Alali 001; Abdulla K. Al-Ali; Qutaibah M. Malluhi (ISGT EUROPE, 2023)

PulseOblivion: An Effective Session-Based Continuous Authentication Scheme Using PPG Signals. - Hussein A. Aly 001; Roberto Di Pietro (IEEE Access, 2023)

A Blackbox Model Is All You Need to Breach Privacy: Smart Grid Forecasting Models as a Use Case. - Hussein Aly 001; Abdulaziz Al-Ali 001; Abdullah Al-Ali; Qutaibah M. Malluhi (CoRR, 2023)

Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions. - Ahmad Yaser Alhaddad; Hussein Aly 001; Hoda Gad; Einas Elgassim; Ibrahim Mohammed; Khaled Baagar; Abdulaziz Al-Ali 001; Kishor Kumar Sadasivuni; John-John Cabibihan; Rayaz A. Malik (Sensors, 2023)

Privacy Leakage in Federated Learning for Smart Grid Short-Term Load Forecasting. - Hussein Aly 001; Abdulaziz Al-Ali 001; Abdulla K. Al-Ali; Qutaibah M. Malluhi (IECON, 2024)

Boosted multilayer feedforward neural network with multiple output layers. - Hussein Aly 001; Abdulaziz K. Al-Ali; Ponnuthurai Nagaratnam Suganthan (Pattern Recognit., 2024)

Hybrid training of deep neural networks with multiple output layers for tabular data classification. - Mohamed Hamdy; Abdulaziz Alali 001; Ponnuthurai N. Suganthan; Hussein A. Aly 001 (Pattern Recognit., 2026)