Zobrazeno 1 - 10
of 3 792
pro vyhledávání: '"Fang, Liu"'
Publikováno v:
Journal of Theoretical and Applied Electronic Commerce Research, Vol 19, Iss 1, Pp 272-296 (2024)
Mining user satisfaction decision stages from online reviews is helpful for understanding user preferences and conducting user-centered product improvements. Therefore, this study develops a two-stage nonlinear user satisfaction decision model (USDM)
Externí odkaz:
https://doaj.org/article/4fb88b59c74c4fec825edde52f1653d6
Publikováno v:
IEEE Transactions on Mobile Computing. 22:417-428
The rapid growth of GPS technology and mobile devices has led to a massive accumulation of location data, bringing considerable benefits to individuals and society. One of the major usages of such data is travel time prediction, a typical service pro
Publikováno v:
Applied Mathematics and Nonlinear Sciences. 8:121-134
In this article, a three-axis attitude manoeuvre spacecraft consisting of a central rigid body and a rotating solar array is studied. The rotating solar array is considered a disturbance to the spacecraft. In the design of the controller, the coupled
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:13782-13793
Accurate destination prediction over sub-trajectories is essential for a wide range of location-based services. Traditional trip matching methods fail to capture temporal dependence hidden in trajectories and may suffer from data sparsity problems. W
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:3195-3215
Video object detection, a basic task in the computer vision field, is rapidly evolving and widely used. In recent years, deep learning methods have rapidly become widespread in the field of video object detection, achieving excellent results compared
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:2665-2677
This paper presents a novel network, Contribution-Degree-based Spiking Neural Network (CDSNN), which combines ideas of spiking neural network (SNN) and fuzzy set theory. In this framework, two types of information, interval and instantaneous informat
Publikováno v:
IEEE Transactions on Cybernetics. 52:4534-4546
With the development of the imaging technology of various sensors, multisource image classification has become a key challenge in the field of image interpretation. In this article, a novel classification method, called the deep multiview union learn
Publikováno v:
IEEE Transactions on Artificial Intelligence. 3:461-469
Autor:
Xu Fang, Xiaochen Feng, Jing Li, Hui Jiang, Jianping Lu, Fang Liu, Qi Li, Yan Fang Liu, Jieyu Yu, Yun Bian, Hao Zhang, Chengwei Shao, Chao Ma, Yinghao Meng
Publikováno v:
Abdominal Radiology. 47:242-253
To develop and validate a machine-learning classifier based on contrast-enhanced computed tomography (CT) for the preoperative prediction of CD20+ B lymphocyte expression in patients with pancreatic ductal adenocarcinoma (PDAC). Overall, 189 patients
Publikováno v:
IEEE Transactions on Cybernetics. 52:3069-3082
Artificial neural networks inspired from the learning mechanism of the brain have achieved great successes in machine learning, especially those with deep layers. The commonly used neural networks follow the hierarchical multilayer architecture with