output
20182026
most citedAutomatic Speech Recognition using Advanced Deep Learning Approaches: A survey

194 citations

Showing 2023Show all

7 papers · 1 filter

physics.optics2023★ 18 cited

Chiral photonic super-crystals based on helical van der Waals homostructures

Kirill V. Voronin, Adilet N. Toksumakov, Georgy A. Ermolaev +9

Chirality is probably the most mysterious among all symmetry transformations. Very readily broken in biological systems, it is practically absent in naturally occurring inorganic m…

cs.CR2023★ 10 cited

Novel Area-Efficient and Flexible Architectures for Optimal Ate Pairing on FPGA

Oussama Azzouzi, Mohamed Anane, Mouloud Koudil +2

While FPGA is a suitable platform for implementing cryptographic algorithms, there are several challenges associated with implementing Optimal Ate pairing on FPGA, such as security…

cs.CL2023★ 189 cited

Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions

Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur +5

Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest and attention since its launch in November 2022. It has shown impressive performance in various do…

cs.CR2023★ 85 cited

Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions

Hamza Kheddar, Mustapha Hemis, Yassine Himeur +2

Steganography and steganalysis are two interrelated aspects of the field of information security. Steganography seeks to conceal communications, whereas steganalysis is aimed to ei…

cs.SD2023★ 147 cited

Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization

Hamza Kheddar, Yassine Himeur, Somaya Al-Maadeed +2

Automatic speech recognition (ASR) has recently become an important challenge when using deep learning (DL). It requires large-scale training datasets and high computational and st…

cs.CR2023★ 111 cited

Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review

Hamza Kheddar, Yassine Himeur, Ali Ismail Awad

Globally, the external internet is increasingly being connected to industrial control systems. As a result, there is an immediate need to protect these networks from a variety of t…

eess.IV2023

Operational Neural Networks for Parameter-Efficient Hyperspectral Single-Image Super-Resolution

Alexander Ulrichsen, Paul Murray, Stephen Marshall +4

Hyperspectral Imaging is a crucial tool in remote sensing which captures far more spectral information than standard color images. However, the increase in spectral information com…