Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Fling Tseng"'
Publikováno v:
Machines, Vol 11, Iss 1, p 40 (2022)
An online evolving clustering (OEC) method equivalent to ensemble modeling is proposed to tackle prognostics problems of learning and the prediction of remaining useful life (RUL). During the learning phase, OEC extracts predominant operating modes a
Externí odkaz:
https://doaj.org/article/60f414b2aa774b10a505b0e11afb9aa9
Autor:
Kristinsson Johannes, Yi Lu Murphey, Zhengru Li, Yongquan Xie, Tian Qin, Fling Tseng, Qiu Shiqi
Publikováno v:
IJCNN
Personalized session-based recommendation systems aim to predict the next items that a user would be interested in based on previously recorded user interactions. The task contains two connotations. Firstly, “personalized” indicates the recommend
Publikováno v:
Computers & Industrial Engineering. 128:1008-1014
There has been considerable advances, over the last few decades, in sensing instrumentation, hardware, signal processing algorithms, and internet technology infrastructure that has eventually paved the way for long envisioned concept of smart factori
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030794620
IEA/AIE (2)
IEA/AIE (2)
The applications of recommendation system (RS) are ubiquitous in our daily lives. Many RSs have exhibited excellent performances, especially those based on neural networks in recent years. However, many existing methods gained superiority in performa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c48eed089e4e2dbf2a921bf1bb6f625
https://doi.org/10.1007/978-3-030-79463-7_1
https://doi.org/10.1007/978-3-030-79463-7_1
Publikováno v:
Evolving Systems. 8:179-191
In this article, a new recursive evolving clustering method is proposed based on the well-known Gustafson–Kessel algorithm. The novelty of the proposed method involves the adaptation and integration of the mutual information based formulation to ac
Autor:
Hsin-Hsiang Yang, Fling Tseng, Kwaku O. Prakah-Asante, Alhadi Ali Albousefi, Fazal Urrahman Syed, Hao Ying, Dimitar Petrov Filev
Publikováno v:
Journal of Intelligent Transportation Systems. 21:41-51
Advanced driver assistance systems, such as unintentional lane departure warning systems, have recently drawn much attention and efforts. In this study, we explored utilizing the nonlinear binary support vector machine (SVM) technique to predict unin
Publikováno v:
SAE International Journal of Passenger Cars - Electronic and Electrical Systems. 8:371-378
Autor:
Johannes Geir Kristinsson, Jason Meyer, Fling Tseng, Xipeng Wang, Yuan Ma, Timothy Mark Feldkamp, Junru Di, Yi Li Murphey, Qiu Shiqi
Publikováno v:
INNS Conference on Big Data
Personalized route prediction is an important technology in many applications related to intelligent vehicles and transportation systems. Current route prediction technologies used in many general navigation systems are, by and large, based on either
Publikováno v:
SAE Technical Paper Series.
Autor:
Johannes Geir Kristinsson, Qiu Shiqi, Jason Meyer, Yue Dai, Timothy Mark Feldkamp, Yuan Ma, Yi Lu Murphey, Qianyi Wang, Fling Tseng
Publikováno v:
SSCI
Personal route prediction (PRP) has attracted much research interest recently because of its technical challenges and broad applications in intelligent vehicle and transportation systems. Traditional navigation systems generate a route for a given or