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Ikram Remadna
Ikram Remadna
COVIBIO Team, LINFI Laboratory, Computer science department, University of Biskra
Verified email at univ-biskra.dz
Title
Cited by
Cited by
Year
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
312020
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
192022
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
172021
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
162018
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
122020
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
102021
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
72020
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
62020
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
42023
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
32023
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
32022
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
22022
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
22022
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
12022
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
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