Zobrazeno 1 - 10
of 1 259
pro vyhledávání: '"Kheddar, A."'
Publikováno v:
2023 2nd International Conference on Electronics, Energy and Measurement (IC2EM)
This review paper provides a comprehensive analysis of recent advances in automatic speech recognition (ASR) with bidirectional encoder representations from transformers BERT and connectionist temporal classification (CTC) transformers. The paper fir
Externí odkaz:
http://arxiv.org/abs/2410.09456
Biometric authentication has garnered significant attention as a secure and efficient method of identity verification. Among the various modalities, hand vein biometrics, including finger vein, palm vein, and dorsal hand vein recognition, offer uniqu
Externí odkaz:
http://arxiv.org/abs/2409.07128
Autor:
Kheddar, Hamza
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. One field benefiting greatly from these advancements is cybersecurity.
Externí odkaz:
http://arxiv.org/abs/2408.07583
Autor:
Habchi, Yassine, Kheddar, Hamza, Himeur, Yassine, Boukabou, Abdelkrim, Atalla, Shadi, Mansoor, Wathiq, Al-Ahmad, Hussain
Many incurable diseases prevalent across global societies stem from various influences, including lifestyle choices, economic conditions, social factors, and genetics. Research predominantly focuses on these diseases due to their widespread nature, a
Externí odkaz:
http://arxiv.org/abs/2408.04318
Autor:
Sohail, Shahab Saquib, Himeur, Yassine, Kheddar, Hamza, Amira, Abbes, Fadli, Fodil, Atalla, Shadi, Copiaco, Abigail, Mansoor, Wathiq
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 annotated data, the existence of a significant gap between training data
Externí odkaz:
http://arxiv.org/abs/2407.17877
Publikováno v:
2023 2nd International Conference on Electronics, Energy and Measurement (IC2EM)
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 Detection Systems (IDSs) which are responsible for detecting and mitigatin
Externí odkaz:
http://arxiv.org/abs/2405.20038
Protecting Internet of things (IoT) devices against cyber attacks is imperative owing to inherent security vulnerabilities. These vulnerabilities can include a spectrum of sophisticated attacks that pose significant damage to both individuals and org
Externí odkaz:
http://arxiv.org/abs/2405.18624
Nowadays, there has been a growing trend in the fields of high-energy physics (HEP) in its both parts experimental and phenomenological studies, to incorporate machine learning (ML) and its specialized branch, deep learning (DL). This review paper pr
Externí odkaz:
http://arxiv.org/abs/2403.11934
Autor:
Essaid, Billel, Kheddar, Hamza, Batel, Noureddine, Chowdhury, Muhammad E. H., Lakas, Abderrahmane
Publikováno v:
IEEE Access, 2024
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 individuals with partial or profound hearing impairments. The process invo
Externí odkaz:
http://arxiv.org/abs/2403.15442
Autor:
Habchi, Yassine, Kheddar, Hamza, Himeur, Yassine, Boukabou, Abdelkrim, Chouchane, Ammar, Ouamane, Abdelmalik, Atalla, Shadi, Mansoor, Wathiq
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 challenge of identifying thyroid cancer (TC) has seen progress with the us
Externí odkaz:
http://arxiv.org/abs/2403.13843