This paper presents a comprehensive review of TinyML for HAR, covering foundational concepts, methodologies, and applications, and critically examined the state of the art of existing works and approaches that combine TinyML and HAR.
Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh et al.· Machine Learning and Knowled...· 0 citations
A novel CNN-LSTM architecture is proposed that is equipped with Explainable AI (XAI) to handle extreme cases of heterogeneous data in Federated Learning-based intrusion detection, demonstrating a highly stable detection is achieved for network-layer attacks, whereas application-layer intrusions suffer severe degradatio...
Jallal-Eddine Moussaoui, Mehdi Kmiti, Yassine Maleh et al.· Scientific Reports· 0 citations
Experiments show that SemReWrite achieves a stronger balance between learning revised semantics and retaining unaffected knowledge than prompt replacement, conventional fine-tuning, parameter-efficient adaptation, and continual-learning strategies.
Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh et al.· 0 citations
A PRISMA 2020-compliant systematic review that analyzes Field-Programmable Gate Array (FPGA) and Application-Specific Integrated Circuit (ASIC) implementations of Elliptic Curve Cryptography (ECC) and Post-Quantum Cryptography (PQC) from 2018 to 2025 reveals critical gaps between academic research and deployment realit...
