Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Mondher Bouazizi"'
Publikováno v:
IEEE Access, Vol 12, Pp 152196-152211 (2024)
In recent years, non-contact biometric identification has garnered significant attention owing to its flexibility and its capacity to ensure privacy and confidentiality. Previous research has predominantly centered on harnessing cardiac radar signals
Externí odkaz:
https://doaj.org/article/40b2b5c258bf47d19baffcc15e347c04
Publikováno v:
IEEE Access, Vol 12, Pp 38258-38274 (2024)
People Identification is a critical aspect in developing modern vehicles, aimed at enhancing safety and comfort levels. Most traditional methods of people identification in vehicles use RGB images or videos. In this study, we introduce a novel method
Externí odkaz:
https://doaj.org/article/117e6e41a09d44ce91defb1791fda836
Publikováno v:
IEEE Access, Vol 12, Pp 11010-11023 (2024)
Local model-agnostic Explainable Artificial Intelligence (XAI), such as LIME or SHAP, has recently gained popularity among researchers and data scientists for explaining black box Machine Learning (ML) models. In the industry, practitioners focus not
Externí odkaz:
https://doaj.org/article/7007089897554c7e9c2438e274c84277
Publikováno v:
Sensors, Vol 24, Iss 21, p 6809 (2024)
Accurate heart rate estimation using Doppler radar and Frequency Modulated Continuous Wave (FMCW) radar is highly valued for privacy protection and the ability to measure through clothing. Conventional methods struggle to isolate the heartbeat from r
Externí odkaz:
https://doaj.org/article/7c3aca9c60934509a57ed3af8dd7e29c
Publikováno v:
Sensors, Vol 24, Iss 20, p 6604 (2024)
Secondary actions in vehicles are activities that drivers engage in while driving that are not directly related to the primary task of operating the vehicle. Secondary Action Recognition (SAR) in drivers is vital for enhancing road safety and minimiz
Externí odkaz:
https://doaj.org/article/a556aa9d4f244fee82a13c6ba9fe6990
Publikováno v:
Sensors, Vol 24, Iss 2, p 626 (2024)
In health monitoring systems for the elderly, a crucial aspect is unobtrusively and continuously monitoring their activities to detect potentially hazardous incidents such as sudden falls as soon as they occur. However, the effectiveness of current n
Externí odkaz:
https://doaj.org/article/3e5bc674eaba4d098d1488ad024c267d
Publikováno v:
Information, Vol 15, Iss 1, p 2 (2023)
A growing focus among scientists has been on researching the techniques of automatic detection of dementia that can be applied to the speech samples of individuals with dementia. Leveraging the rapid advancements in Deep Learning (DL) and Natural Lan
Externí odkaz:
https://doaj.org/article/cac3340930c9412d8f1fc1a384ecd29e
Autor:
Mondher Bouazizi, Tomoaki Ohtsuki
Publikováno v:
IEEE Access, Vol 10, Pp 55958-55987 (2022)
Sarcasm is a sophisticated form of speech used to convey a message other than the apparent one. To date, there are numerous papers that have discussed the idea of automatic sarcasm detection and how it could be used for sentiment analysis improvement
Externí odkaz:
https://doaj.org/article/46360d7cb5c34ac0b0864304c7bb7f80
Publikováno v:
IEEE Access, Vol 10, Pp 92294-92306 (2022)
In recent years, scientists are paying much attention to the research on automatic dementia detection that could be applied to the speech samples of dementia patients. In a related context, recent research has seen the fast development of Deep Learni
Externí odkaz:
https://doaj.org/article/2095c4ffce174380ae61a2805fc56702
Autor:
Chuheng Zheng, Mondher Bouazizi, Tomoaki Ohtsuki, Momoko Kitazawa, Toshiro Horigome, Taishiro Kishimoto
Publikováno v:
Bioengineering, Vol 10, Iss 7, p 862 (2023)
Alzheimer’s disease (AD) is a type of dementia that is more likely to occur as people age. It currently has no known cure. As the world’s population is aging quickly, early screening for AD has become increasingly important. Traditional screening
Externí odkaz:
https://doaj.org/article/06da93cd248547a69e70193bdfdf54e6