Abdelkader Dairi
Orcid: 0000-0003-4712-6949
According to our database1,
Abdelkader Dairi
authored at least 18 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Exploiting Autoencoder-Based Anomaly Detection to Enhance Cybersecurity in Power Grids.
Future Internet, June, 2024
Artif. Intell. Medicine, 2024
2023
Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework.
J. Ambient Intell. Humaniz. Comput., 2023
2022
Deep Generative Learning-Based 1-SVM Detectors for Unsupervised COVID-19 Infection Detection Using Blood Tests.
IEEE Trans. Instrum. Meas., 2022
Efficient land desertification detection using a deep learning-driven generative adversarial network approach: A case study.
Concurr. Comput. Pract. Exp., 2022
Machine learning and deep learning-driven methods for predicting ambient particulate matters levels: A case study.
Concurr. Comput. Pract. Exp., 2022
Efficient Driver Drunk Detection by Sensors: A Manifold Learning-Based Anomaly Detector.
IEEE Access, 2022
A Semi-Supervised Modulation Identification in MIMO Systems: A Deep Learning Strategy.
IEEE Access, 2022
Proceedings of the 7th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2022
Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022
Proceedings of the Seventh International Conference on Fog and Mobile Edge Computing, 2022
2021
Integrated Multiple Directed Attention-Based Deep Learning for Improved Air Pollution Forecasting.
IEEE Trans. Instrum. Meas., 2021
Desertification Detection Using an Improved Variational Autoencoder-Based Approach Through ETM-Landsat Satellite Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
J. Biomed. Informatics, 2021
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021
2019
Monitoring Influent Conditions of Wastewater Treatment Plants by Nonlinear Data-Based Techniques.
IEEE Access, 2019
2018
Unsupervised obstacle detection in driving environments using deep-learning-based stereovision.
Robotics Auton. Syst., 2018
Proceedings of the IEEE International Conference on Industrial Technology, 2018