Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Mounim A El Yacoubi"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract With over 55 million people globally affected by dementia and nearly 10 million new cases reported annually, Alzheimer’s disease is a prevalent and challenging neurodegenerative disorder. Despite significant advancements in machine learnin
Externí odkaz:
https://doaj.org/article/15987959dfcb4b1f936f560dda28c785
Publikováno v:
IEEE Access, Vol 12, Pp 128285-128304 (2024)
The water crisis, global warming and climate changes have become recently prominent world issues. Saving and conserving water have become, therefore, an imperative for water resources’ sustainability. In this context, dramatic innovations have come
Externí odkaz:
https://doaj.org/article/a3705efabfdb41bd89c1bd45da24883b
Autor:
Hajar Hammouch, Suchitra Patil, Sunita Choudhary, Mounim A. El-Yacoubi, Jan Masner, Jana Kholová, Krithika Anbazhagan, Jiří Vaněk, Huafeng Qin, Michal Stočes, Hassan Berbia, Adinarayana Jagarlapudi, Magesh Chandramouli, Srinivas Mamidi, KVSV Prasad, Rekha Baddam
Publikováno v:
Agriculture, Vol 14, Iss 10, p 1682 (2024)
Non-invasive crop analysis through image-based methods holds great promise for applications in plant research, yet accurate and robust trait inference from images remains a critical challenge. Our study investigates the potential of AI model ensembli
Externí odkaz:
https://doaj.org/article/73c34b7898424644ac633be4c35554ec
Publikováno v:
IEEE Access, Vol 11, Pp 57652-57665 (2023)
Photoplethysmography (PPG) is a non-invasive and cost-efficient optical technique used to assess blood volume variations in the microcirculation. PPG technology is widely used in a variety of wearable sensors to investigate the cardiovascular system.
Externí odkaz:
https://doaj.org/article/eff02dc5be9b4d85963d458f17640dc7
Publikováno v:
IEEE Access, Vol 11, Pp 33401-33413 (2023)
Deep neural networks have been widely used in several complex tasks such as robotics, self-driving cars, medicine, etc. However, they have recently shown to be vulnerable in uncertain environments where inputs are noisy. As a consequence, the robustn
Externí odkaz:
https://doaj.org/article/5d72c298a9df4d08b3c11d0e701472cb
Publikováno v:
IEEE Access, Vol 11, Pp 2148-2155 (2023)
Building upon the recent advances and successes in the application of deep learning to the medical field, we propose in this work a new approach to detect and classify early-stage Alzheimer patients using online handwriting (HW) loop patterns. To cop
Externí odkaz:
https://doaj.org/article/a4994a2a48fa4902ad2902d7b8819ea3
Autor:
Serena Zanelli, Kornelia Eveilleau, Peter H. Charlton, Mehdi Ammi, Magid Hallab, Mounim A. El Yacoubi
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
Photopletysmography (PPG) is a non-invasive and well known technology that enables the recording of the digital volume pulse (DVP). Although PPG is largely employed in research, several aspects remain unknown. One of these is represented by the lack
Externí odkaz:
https://doaj.org/article/f3b259079ff24ed38933a48cd94808c2
Autor:
Nickson Mwamsojo, Frederic Lehmann, Mounim A. El-Yacoubi, Kamel Merghem, Yann Frignac, Badr-Eddine Benkelfat, Anne-Sophie Rigaud
Publikováno v:
IEEE Access, Vol 10, Pp 59821-59831 (2022)
Artificial Neural Networks (ANNs) have amassed unprecedented success in information processing ranging from image recognition to time series prediction. The success can largely be attributed to the availability of large datasets for training and the
Externí odkaz:
https://doaj.org/article/81829de7695b49beb80698c6eeff4808
Publikováno v:
Sensors, Vol 22, Iss 13, p 4890 (2022)
(1) Background: Diabetes mellitus (DM) is a chronic, metabolic disease characterized by elevated levels of blood glucose. Recently, some studies approached the diabetes care domain through the analysis of the modifications of cardiovascular system pa
Externí odkaz:
https://doaj.org/article/0ede0a7fd2fb4a5eb4d655571951578e
Publikováno v:
IEEE Access, Vol 7, Pp 34823-34837 (2019)
Hand-vein biometrics as a high-security pattern has received more and more attention. One of the open issues in hand-vein verification is the lack of robustness against image quality degradation, which may comprise the verification accuracy. To achie
Externí odkaz:
https://doaj.org/article/9a62cdee43484ec1bcf3bcfd5e90291a