Zobrazeno 1 - 10
of 168
pro vyhledávání: '"D. Frank Hsu"'
Publikováno v:
IEEE Access, Vol 9, Pp 3919-3935 (2021)
Multiple scoring systems (including rank and score functions; MSS) have been widely used in multiple regression, intelligent biometric systems, multiple artificial neural nets, combining pattern classifiers, ensemble methods, machine learning and art
Externí odkaz:
https://doaj.org/article/11e9168ec8c449c89236933b623aae82
Publikováno v:
Sensors, Vol 22, Iss 3, p 1067 (2022)
Combinatorial fusion algorithm (CFA) is a machine learning and artificial intelligence (ML/AI) framework for combining multiple scoring systems using the rank-score characteristic (RSC) function and cognitive diversity (CD). When measuring the releva
Externí odkaz:
https://doaj.org/article/5dd3cd4f76314b4a998bd4f2d38118b9
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
The identification of stressfulness under certain driving condition is an important issue for safety, security and health. Sensors and systems have been placed or implemented as wearable devices for drivers. Features are extracted from the data colle
Externí odkaz:
https://doaj.org/article/ed24d070bf2246a0bc0f78ae20ddf6eb
Publikováno v:
Theoretical Computer Science. 934:81-90
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:1301-1309
Mobile target tracking with artificial intelligence (AI) approaches such as deep reinforcement learning (DRL) in edge-assisted Internet of Things (Edge-IoT) platform can be promising. In this article, we propose DRLTrack , a framework for target trac
Autor:
Christina Schweikert, Shinsuke Shimojo, Hannah Glasser, Rebecca Hendsey, Rami Alsaber, D. Frank Hsu
Publikováno v:
2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).
Publikováno v:
IEEE Access, Vol 9, Pp 3919-3935 (2021)
Multiple scoring systems (including rank and score functions; MSS) have been widely used in multiple regression, intelligent biometric systems, multiple artificial neural nets, combining pattern classifiers, ensemble methods, machine learning and art
Autor:
Tian Wang, Yafeng Li, D. Frank Hsu, Tao Hai, Sinan Q. Salih, Zakirul Alam Bhuiyan, Wang Jing, Liu Penghui, Jie Wu
Publikováno v:
Information Fusion. 62:32-46
Recently, there have been extensive studies on applying security and privacy protocols in Body Sensor Networks (BSNs) for patient healthcare monitoring (BSN-Health). Though these protocols provide adequate security to data packets, the collected data
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811995811
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2eace03d793882311fa35e90d7b1e49
https://doi.org/10.1007/978-981-19-9582-8_11
https://doi.org/10.1007/978-981-19-9582-8_11
Publikováno v:
Sensors; Volume 22; Issue 3; Pages: 1067
Sensors, Vol 22, Iss 1067, p 1067 (2022)
Sensors, Vol 22, Iss 1067, p 1067 (2022)
Combinatorial fusion algorithm (CFA) is a machine learning and artificial intelligence (ML/AI) framework for combining multiple scoring systems using the rank-score characteristic (RSC) function and cognitive diversity (CD). When measuring the releva