Al-Masri, B.; Bakir, N.; El-Zaart, A.; Samrouth, K. Dual Convolutional Malware Network (DCMN): An Image-Based Malware Classification Using Dual Convolutional Neural Networks. Electronics 2024, 13, 3607. https://doi.org/10.3390/electronics13183607.
K. Samrouth, N. Beuve, O. Deforges, N. Bakir and W. Hamidouche, "Ensemble Learning Model for Face Swap Detection," 2024 12th International Symposium on Digital Forensics and Security (ISDFS), San Antonio, TX, USA, 2024, pp. 1-5, doi: 10.1109/ISDFS60797.2024.10527286. keywords: {Deepfakes;Privacy;Social networking (online);Terrorism;Robustness;Stability analysis;Ensemble learning;Deepfake;Face Swap detection;Deep Learning;Ensemble Learning},
N. Bakir, A. Samrouth and K. Samrouth, "PSO-GA-based Federated Learning for Predicting Energy Consumption in Smart Buildings," 2023 International Conference on Microelectronics (ICM), Abu Dhabi, United Arab Emirates, 2023, pp. 234-238, doi: 10.1109/ICM60448.2023.10378946. keywords: {Performance evaluation;Energy consumption;Data privacy;Smart buildings;Federated learning;Predictive models;Prediction algorithms;Energy consumption prediction;Federated learning;Genetic Algorithm;Particle Swarm optimization;smart building},
Wael Rayes, Khouloud Samrouth, Nader Bakir, 'Using Blockchain and Vazka Authentication for the Security of Smart Home Devices', February 2024, 7th Arab ICT Conference 2024 (AICTC-2024), The Kingdom of Bahrain.
N. Bakir, W. Hamidouche, S. A. Fezza, K. Samrouth and O. Déforges, "Light Field Image Coding Using VVC Standard and View Synthesis Based on Dual Discriminator GAN," in IEEE Transactions on Multimedia, vol. 23, pp. 2972-2985, 2021, doi: 10.1109/TMM.2021.3068563. keywords: Image coding; Transform coding; Standards; Coding structure; deep learning; light field; quality enhancement; RDO; VVC; view synthesis,
N. Bakir, W. Hamidouche, S. A. Fezza, K. Samrouth and O. Déforges, "Light Field Image Coding Using Dual Discriminator Generative Adversarial Network And VVC Temporal Scalability," 2020 IEEE International Conference on Multimedia and Expo (ICME), London, UK, 2020, pp. 1-6, doi: 10.1109/ICME46284.2020.9102880. keywords: {Image coding;Decoding;Generative adversarial networks;Video coding;Training;Generators;Optimization;Light Field;Deep Learning;D2GAN;VVC;Coding Structure;RDO.},
N. Bakir, S. A. Fezza, W. Hamidouche, K. Samrouth and O. Déforges, "Subjective Evaluation of Light Field Image Compression Methods based on View Synthesis," 2019 27th European Signal Processing Conference (EUSIPCO), A Coruna, Spain, 2019, pp. 1-5, doi: 10.23919/EUSIPCO.2019.8902614. keywords: {Image coding;Encoding;Visualization;Decoding;Standards;Image color analysis;Europe;Light field;Image compression;View synthesis;Subjective evaluation;CNN;Linear approximation},
N. Bakir, W. Hamidouche, O. Déforges, K. Samrouth, S. A. Fezza and M. Khalil, "RDO-Based Light Field Image Coding Using Convolutional Neural Networks and Linear Approximation," 2019 Data Compression Conference (DCC), Snowbird, UT, USA, 2019, pp. 554-554, doi: 10.1109/DCC.2019.00066. keywords: {Image coding;Light fields;Linear approximation;Two dimensional displays;Convolutional neural networks;Decoding;Rate-distortion;Light Field;Image Coding;CNN;Linear approximation;RDO},
N. Bakir, W. Hamidouche, O. Déforges, K. Samrouth and M. Khalil, "Light Field Image Compression Based on Convolutional Neural Networks and Linear Approximation," 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, 2018, pp. 1128-1132, doi: 10.1109/ICIP.2018.8451597. keywords: {Decoding;Image coding;Encoding;Cameras;Linear approximation;Machine learning;Light Field;Machine Learning;Linear approximation;CNN;future video coding},
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