Zobrazeno 1 - 10 of 29 pro vyhledávání: '"Khaled BEN KHALIFA"'
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Akademický článek
Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes
Autor: Aymen Zayed, Nidhameddine Belhadj, Khaled Ben Khalifa, Mohamed Hedi Bedoui, Carlos Valderrama
Publikováno v: Sensors, Vol 24, Iss 13, p 4256 (2024)
Drowsiness is a main factor for various costly defects, even fatal accidents in areas such as construction, transportation, industry and medicine, due to the lack of monitoring vigilance in the mentioned areas. The implementation of a drowsiness dete
Externí odkaz: https://doaj.org/article/3d2ca92658754f52abfa542bd941f6b3
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Innovative deep learning models for EEG-based vigilance detection
Autor: Mohamed Hedi Bedoui, Asma Ben Abdallah, Khaled Ben Khalifa, Souhir Khessiba, Ahmed Ghazi Blaiech
Publikováno v: Neural Computing and Applications. 33:6921-6937
Electroencephalography (EEG) is one of the most signals used for studying and demonstrating the electrical activity of the brain due to the absence of side effects, its noninvasive nature and its well temporal resolution. Indeed, it provides real-tim
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::54a0fa1dc6c6c0fb1ad1807524f03ed5
https://doi.org/10.1007/s00521-020-05467-5
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9
A Survey and Taxonomy of FPGA-based Deep Learning Accelerators
Autor: Ahmed Ghazi Blaiech, Mohamed Hedi Bedoui, Khaled Ben Khalifa, Carlos Valderrama, Marcelo A. C. Fernandes
Publikováno v: Journal of Systems Architecture. 98:331-345
Deep learning, the fastest growing segment of Artificial Neural Network (ANN), has led to the emergence of many machine learning applications and their implementation across multiple platforms such as CPUs, GPUs and reconfigurable hardware (Field-Pro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::560e0f706c3fbb5f6e8f6943dcd5d6c9
https://doi.org/10.1016/j.sysarc.2019.01.007
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10
A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network
Autor: Ahmed Ghazi Blaiech, Mohamed Hedi Bedoui, Khaled Ben Khalifa
Publikováno v: Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2019 (2019)
In this article, we propose to design a new modular architecture for a self-organizing map (SOM) neural network. The proposed approach, called systolic-SOM (SSOM), is based on the use of a generic model inspired by a systolic movement. This model is
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e06b3b50c843bf47ecbb945b80298239
https://doi.org/10.1155/2019/8212867
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