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20222026
most citedAutomatic Speech Recognition using Advanced Deep Learning Approaches: A survey

194 citations · 950 across the 33 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.LG2026★ 4 cited

Reinforcement learning for hardware acceleration and system-level optimization on FPGA and integrated-circuit platforms: A survey

Hamza Kheddar

Reinforcement learning (RL) enables adaptive and autonomous decision-making in embedded, edge, and heterogeneous computing systems. Field-programmable gate arrays (FPGAs) and integ…

cs.CR2026

A Deployment-Oriented and Resource-Efficient Neuro-Symbolic Framework for Explainable DDoS Detection in Operational Technology Networks

Mikiyas Alemayehu, Mohamed Chahine Ghanem, Hamza Kheddar +2

Operational technology (OT) environments, including programmable logic controllers (PLCs), industrial control systems (ICS), and supervisory control and data acquisition (SCADA) sy…

eess.IV2026★ 3 cited

BreathAI: Transfer Learning-Based Thermal Imaging for Automated Breathing Pattern Recognition

Hamza Kheddar, Yassine Himeur, Abbes Amira

This study presents an Adaptive Transfer Learning and Thresholding-based Deep Learning Model (ATL-TDLM) for automated breathing pattern recognition using thermal imaging. Unlike co…

eess.IV2026

Portable Medical Imaging in Modern Healthcare: Fundamentals, AI-Based Taxonomy, Image Quality, and Open Challenges

Yassine Habchi, Hamza Kheddar, Muhammad Ali Qureshi +2

Portable medical imaging (PMI) has emerged as an important solution for point-of-care diagnosis in emergency, rural, and resource-limited settings where conventional imaging infras…

cs.CV2026

Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments

Afrah Gueriani, Hamza Kheddar, Ahmed Cherif Mazari

This study introduces a hybrid deep learning model for intrusion detection in Industrial IoT (IIoT) systems, combining ResNet-1D, BiGRU, and Multi-Head Attention (MHA) for effectiv…

cs.CR2026★ 2 cited

SE-Enhanced ViT and BiLSTM-Based Intrusion Detection for Secure IIoT and IoMT Environments

Afrah Gueriani, Hamza Kheddar, Ahmed Cherif Mazari +2

With the rapid growth of interconnected devices in Industrial and Medical Internet of Things (IIoT and MIoT) ecosystems, ensuring timely and accurate detection of cyber threats has…