Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Chongyu Zhou"'
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:1475-1491
Mobile crowdsensing (MCS) is an emerging human-powered service for large-scale sensing and data collection. Most existing frameworks for controlling MCS services focus on a system-initiated setting where the crowdsourcer selects a subset of contribut
Autor:
Rachel Hong, Chongyu Zhou, Kee Chaing Chua, Chun-Huat Heng, Chacko John Deepu, A.T.-Y. Koh, Yong Lian, Duy Hoa Ngo, Bharadwaj Veeravalli, Jufeng Yu, Shashi Raj Singh, Mehul Motani, Yongfu Li, David T. Wong
Publikováno v:
IEEE Sensors Journal. 20:448-462
A compact, light-weight and low-power wireless vital signs monitoring system based on Wireless Body Area Network (WBAN) protocol has been developed. The system, VySys, includes two compact wearable wireless biosensor devices for continuous vital sign
The emerging issue of microplastics in marine environment: A bibliometric analysis from 2004 to 2020
Publikováno v:
Marine pollution bulletin. 179
Microplastic pollution in marine environment has been a growing public concern in recent years. This article analyzed the scientific literatures related to marine microplastics through a combination of social network analysis and bibliometrics. Resea
Publikováno v:
IEEE Transactions on Mobile Computing. 18:70-83
Graphical models have been widely applied in distributed network computation problems such as inference in large-scale sensor networks. While belief propagation (BP) based on message passing is a powerful approach to solving such distributed inferenc
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 23:103-111
Analyzing patients' health data using machine learning techniques can improve both patient outcomes and hospital operations. However, heterogeneous patient data (e.g., vital signs) and inefficient feature learning methods affect the implementation of
Autor:
Chongyu Zhou, Chen-Khong Tham
Publikováno v:
ICPADS
Ensemble learning (EL)methods have been shown to be effective for diagnostics and prognostics in industrial systems. By combining the learning ability of different base learners, EL has the potential to reduce the total complexity of the learning sys
Publikováno v:
BIBM
Feature selection, which identifies representative features in observed data, can increase the utility of health data for predictive diagnosis. Unlike feature extraction, such as PCA and autoencoder based methods, feature selection preserves interpre
Publikováno v:
Computer Networks. 169:107045
Crowdsourcing is an emerging paradigm for human-powered problem solving in the Internet of Things (IoT) era. In this paper, we consider the online task allocation problem in crowdsourcing systems. Instead of considering real-time tasks that need to b
Autor:
Chen-Khong Tham, Chongyu Zhou
Publikováno v:
SECON
By taking advantage of pervasive mobile devices and their pairwise encounters, Mobile Cloud Computing (MCC) offers an efficient solution for mobile devices to execute complex applications in a collaborative manner. In this paper, we consider the prob
Autor:
Chongyu Zhou, Chen-Khong Tham
Publikováno v:
PerCom Workshops
Mobile edge computing (MEC) leverages the advan-tages of both cloud computing and mobile computing. An important issue affecting the efficiency of MEC systems is to determine whether letting the mobile users (MUs) offload the computation tasks to the