Automatic speech recognition using advanced deep learning approaches: A survey
Recent advancements in deep learning (DL) have posed a significant challenge for
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …
Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey
H Kheddar - arXiv preprint arXiv:2408.07583, 2024 - arxiv.org
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 …
research fields due to its enhanced capabilities in text generation and user interaction. One …
Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives
B Essaid, H Kheddar, N Batel, MEH Chowdhury… - IEEE …, 2024 - ieeexplore.ieee.org
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 …
only for interacting with machines but also for facilitating communication for individuals with …
Deep Transfer Learning for Kidney Cancer Diagnosis
Many incurable diseases prevalent across global societies stem from various influences,
including lifestyle choices, economic conditions, social factors, and genetics. Research …
including lifestyle choices, economic conditions, social factors, and genetics. Research …
Enhancing IoT Security with CNN and LSTM-Based Intrusion Detection Systems
A Gueriani, H Kheddar… - 2024 6th International …, 2024 - ieeexplore.ieee.org
Protecting Internet of things (IoT) devices against cyber attacks is imperative owing to
inherent security vulnerabilities. These vulnerabilities can include a spectrum of …
inherent security vulnerabilities. These vulnerabilities can include a spectrum of …