Leveraging the power of the combination of CNN and bi-directional LSTM networks for aircraft engine RUL estimation I Remadna, SL Terrissa, R Zemouri, S Ayad, N Zerhouni 2020 Prognostics and Health Management Conference (PHM-Besançon), 116-121, 2020 | 31 | 2020 |
RUL prediction using a fusion of attention-based convolutional variational autoencoder and ensemble learning classifier I Remadna, LS Terrissa, Z Al Masry, N Zerhouni IEEE Transactions on Reliability 72 (1), 106-124, 2022 | 19 | 2022 |
RUL estimation enhancement using hybrid deep learning methods I Remadna, LS Terrissa, S Ayad, N Zerhouni International Journal of Prognostics and Health Management 12 (1), 2021 | 17 | 2021 |
An overview on the deep learning based prognostic I Remadna, SL Terrissa, R Zemouri, S Ayad 2018 International Conference on Advanced Systems and Electric Technologies …, 2018 | 16 | 2018 |
Breast cancer classification using machine learning techniques: a comparative study D Houfani, S Slatnia, O Kazar, N Zerhouni, H Saouli, I Remadna Medical Technologies Journal 4 (2), 535-544, 2020 | 12 | 2020 |
Leveraging the power of machine learning for performance evaluation prediction in wireless sensor networks S Zroug, I Remadna, L Kahloul, S Benharzallah, SL Terrissa 2021 International Conference on Information Technology (ICIT), 864-869, 2021 | 10 | 2021 |
Hybrid architecture of deep convolutional variational auto-encoder for remaining useful life prediction R Zemouri, Z Al Masry, I Remadna, SL Terrissa, N Zerhouni 30th European Safety and Reliability Conference and 15th Probabilistic …, 2020 | 7 | 2020 |
Unsupervised feature reduction techniques with bidirectional GRU neural network for aircraft engine RUL estimation I Remadna, SL Terrissa, R Zemouri, S Ayad, N Zerhouni Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) Volume …, 2020 | 6 | 2020 |
An improved model for breast cancer diagnosis by combining pca and logistic regression techniques D Houfani, S Slatnia, O Kazar, I Remadna, H Saouli, G Ortiz, A Merizig International Journal of Computing and Digital Systems 13 (1), 701-716, 2023 | 4 | 2023 |
Towards performance evaluation prediction in WSNs using artificial neural network multi-perceptron S Zroug, I Remadna, L Kahloul, SL Terrissa, S Benharzallah Cluster Computing 26 (2), 1405-1423, 2023 | 3 | 2023 |
Paediatric Bone Age Assessment from Hand X-ray Using Deep Learning Approach A Zerari, O Djedidi, L Kahloul, R Carlo, I Remadna International Conference on Computing Systems and Applications, 373-383, 2022 | 3 | 2022 |
Boosting RUL prediction using a hybrid deep CNN-BLSTM architecture I Remadna, SL Terrissa, M Sayah, S Ayad, N Zerhouni Automatic Control and Computer Sciences 56 (4), 300-310, 2022 | 2 | 2022 |
IoT Based Prediction of Active and Passive Earth Pressure Coefficients Using Artificial Neural Networks S Attache, I Remadna, LS Terrissa, I Maouche, N Zerhouni International Conference on Networked Systems, 252-262, 2022 | 2 | 2022 |
Simulation and formal verification in WSNs empowered by machine learning: A review S Zroug, I Remadna, L Kahloul, SL Terrissa 2022 International Symposium on iNnovative Informatics of Biskra (ISNIB), 1-6, 2022 | 1 | 2022 |
Enhancing Dermoscopy-Based Skin Lesions Diagnosis: A Fusion of Convolutional Neural Networks and Self-Training A Belaala, LS Terrissa, Z Al Masry, Y Bourezane, I Maouche, I Remadna, ... 2023 International Conference on Decision Aid Sciences and Applications …, 2023 | | 2023 |
Deep Learning for predictive maintenance I Remadna Université de mohamed kheider biskra, 2023 | | 2023 |
TabNet Based Prediction Model for ICU admission in Covid-19 patients D Houfani, S Slatnia, O Kazar, H Saouli, HS Eddine, I Remadna, M Zouai 2022 International Symposium on iNnovative Informatics of Biskra (ISNIB), 1-6, 2022 | | 2022 |
Predicting COVID-19 Outbreak in Algeria Using Long Short-Term Memory Networks S Attache, LS Terrissa, I Remadna, S Ayad, F Madaci, N Zerhouni 2022 7th International Conference on Image and Signal Processing and their …, 2022 | | 2022 |