Signal speech reconstruction and noise removal using convolutional denoising audioencoders with neural deep learning H Abouzid, O Chakkor, OG Reyes, S Ventura Analog Integrated Circuits and Signal Processing 100, 501-512, 2019 | 30 | 2019 |
Blind source separation approach for audio signals based on support vector machine classification H Abouzid, O Chakkor Proceedings of the 2nd international conference on computing and wireless …, 2017 | 12 | 2017 |
Dimension reduction techniques for signal separation algorithms H Abouzid, O Chakkor Big Data, Cloud and Applications: Third International Conference, BDCA 2018 …, 2018 | 6 | 2018 |
Blind audio source separation: state-of-art A Houda, C Otman International Journal of Computer Applications 130 (4), 1-6, 2015 | 6 | 2015 |
LSTM Deep Learning Method for Radiation Short and Long-Term Prediction M Khala, H Abouzid, S Teidj, O Eloutassi, C Messaoudi The Proceedings of the International Conference on Smart City Applications …, 2022 | 5 | 2022 |
A novel method based on gaussianity and sparsity for signal separation algorithms A Houda, C Otman International Journal of Electrical and Computer Engineering 7 (4), 1906, 2017 | 5 | 2017 |
Autoencoders in deep neural network architecture for real work applications: convolutional denoising autoencoders H Abouzid, O Chakkor Handbook of Research on Recent Developments in Electrical and Mechanical …, 2020 | 1 | 2020 |
PREDICTION DE RAYONNEMENT SOLAIRE GLOBAL (RSG). MOHAMED. ABOUZID KHALA (HOUDA. TEIDJ, SARA.) EDITIONS UNIVERSITAIRES E, 2021 | | 2021 |
La séparation de signaux par les méthodes d'apprentissage automatique: Application à la robotique humanoïde H Abouzid Éditions universitaires européennes, 2021 | | 2021 |
Signal Speech Decompression using Convolutional Denoising Audioencoders for Unsupervised Machine Learning Algorithms H Abouzid, O Chakkor | | 2019 |