Abdelkader Dairi

Orcid: 0000-0003-4712-6949

According to our database1, Abdelkader Dairi authored at least 18 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Exploiting Autoencoder-Based Anomaly Detection to Enhance Cybersecurity in Power Grids.
Future Internet, June, 2024

Stacked deep learning approach for efficient SARS-CoV-2 detection in blood samples.
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

Gated Recurrent Unit Based Short-Term Network for Robot Swarm Motion Forecasting.
Proceedings of the 7th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2022

Monitoring Ground-Level Ozone Pollution Based on a Semi-supervised Approach.
Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022

DDOS attacks detection based on attention-deep learning and local outlier factor.
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

Comparative study of machine learning methods for COVID-19 transmission forecasting.
J. Biomed. Informatics, 2021

A deep attention-driven model to forecast solar irradiance.
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

Wastewater treatment plant monitoring via a deep learning approach.
Proceedings of the IEEE International Conference on Industrial Technology, 2018


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