Leveraging the Power of Machine Learning for Performance Evaluation Prediction in Wireless Sensor Networks. - Siham Zroug; Ikram Remadna; Laid Kahloul; Saber Benharzallah; Labib Sadek Terrissa (ICIT, 2021)

Paediatric Bone Age Assessment from Hand X-ray Using Deep Learning Approach. - Achouak Zerari; Oussama Djedidi; Laid Kahloul; Carlo Romeo; Ikram Remadna (CSA, 2022)

IoT Based Prediction of Active and Passive Earth Pressure Coefficients Using Artificial Neural Networks. - Salima Attache; Ikram Remadna; Labib Sadek Terrissa; Ikram Maouche; Noureddine Zerhouni (NETYS, 2022)

Boosting RUL Prediction Using a Hybrid Deep CNN-BLSTM Architecture. - Ikram Remadna; Labib Sadek Terrissa; M. Sayah; Soheyb Ayad; Noureddine Zerhouni (Autom. Control. Comput. Sci., 2022)

RUL Prediction Using a Fusion of Attention-Based Convolutional Variational AutoEncoder and Ensemble Learning Classifier. - Ikram Remadna; Labib Sadek Terrissa; Zeina Al Masry; Noureddine Zerhouni (IEEE Trans. Reliab., 2023)

Towards performance evaluation prediction in WSNs using artificial neural network multi-perceptron. - Siham Zroug; Ikram Remadna; Laid Kahloul; Labib Sadek Terrissa; Saber Benharzallah (Clust. Comput., 2023)