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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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11 papers · 1 filter

cs.CL2024★ 26 cited

Automatic Speech Recognition with BERT and CTC Transformers: A Review

Noussaiba Djeffal, Hamza Kheddar, Djamel Addou +2

This review paper provides a comprehensive analysis of recent advances in automatic speech recognition (ASR) with bidirectional encoder representations from transformers BERT and c…

eess.IV2024★ 2 cited

Deep Learning Techniques for Hand Vein Biometrics: A Comprehensive Review

Mustapha Hemis, Hamza Kheddar, Sami Bourouis +1

Biometric authentication has garnered significant attention as a secure and efficient method of identity verification. Among the various modalities, hand vein biometrics, including…

cs.CR2024★ 140 cited

Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey

Hamza Kheddar

With significant advancements in Transformers LLMs, NLP has extended its reach into many research fields due to its enhanced capabilities in text generation and user interaction. O…

eess.IV2024★ 2 cited

Deep Transfer Learning for Kidney Cancer Diagnosis

Yassine Habchi, Hamza Kheddar, Yassine Himeur +5

Incurable diseases continue to pose major challenges to global healthcare systems, with their prevalence shaped by lifestyle, economic, social, and genetic factors. Among these, ki…

cs.CV2024★ 1 cited

Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey

Shahab Saquib Sohail, Yassine Himeur, Hamza Kheddar +5

The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of deep learning (DL). However, the latter faces various issues, including the lack of data or an…

cs.CR2024★ 46 cited

Deep Reinforcement Learning for Intrusion Detection in IoT: A Survey

Afrah Gueriani, Hamza Kheddar, Ahmed Cherif Mazari

The rise of new complex attacks scenarios in Internet of things (IoT) environments necessitate more advanced and intelligent cyber defense techniques such as various Intrusion Dete…

cs.CR2024★ 5 cited

Enhancing IoT Security with CNN and LSTM-Based Intrusion Detection Systems

Afrah Gueriani, Hamza Kheddar, Ahmed Cherif Mazari

Protecting Internet of things (IoT) devices against cyber attacks is imperative owing to inherent security vulnerabilities. These vulnerabilities can include a spectrum of sophisti…

cs.SD2024★ 194 cited

Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey

Hamza Kheddar, Mustapha Hemis, Yassine Himeur

Recent advancements in deep learning (DL) have posed a significant challenge for automatic speech recognition (ASR). ASR relies on extensive training datasets, including confidenti…

eess.AS2024★ 30 cited

Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives

Billel Essaid, Hamza Kheddar, Noureddine Batel +2

Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not only for interacting with machines but also for facilitating communication for indi…

cs.LG2024★ 8 cited

Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review

Yassine Habchi, Hamza Kheddar, Yassine Himeur +1

The growing interest in developing smart diagnostic systems to help medical experts process extensive data for treating incurable diseases has been notable. In particular, the chal…

hep-ph2024★ 4 cited

Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey

Hamza Kheddar, Yassine Himeur, Abbes Amira +1

Nowadays, there has been a growing trend in the field of high-energy physics (HEP), in both its experimental and phenomenological studies, to incorporate machine learning (ML) and…