N. Kaabouch

False data injection attacks in smart grids: a review

Advanced computational methods for predicting permafrost conditions: a survey

Permafrost degradation, accelerated by environmental variability, presents growing challenges for environmental stability and infrastructure resilience in polar and high-altitude regions. While traditional physics-based models have been foundational for characterizing permafrost behavior, recent advances in machine lea...

Dual-Adaptive Z-Score PPO: Dynamic Clipping Using Action Confidence and Normalized Advantage Magnitude

Proximal Policy Optimization (PPO) is widely used in reinforcement learning because it provides stable on-policy learning with relatively simple implementation. However, standard PPO uses a fixed clipping threshold, applying the same trust-region width to all training samples even though the reliability of policy updat...

Benchmarking Classical and Quantum Machine Learning for Intrusion Detection Across Multiple Datasets

This paper presents a comparative benchmarking study of classical and quantum machine learning models for intrusion detection using three benchmark datasets: NSL-KDD, UNSW-NB15, and MQTTEEB-D2025. The study evaluates how preprocessing choices, feature selection strategies, and quantum encoding methods influence model p...