机构：[1]Department of Software Engineering, Yunnan University, Kunming, China [2]Department of Computer Science, Liverpool John Moores University, Liverpool, UK[3]Department of Computer Science, Sheffield University, Sheffield, UK[4]Department of Neurology, Kunming No.1 People’s Hospital, Kunming, China
出处：
语种：
外文
中科院(CAS)分区：
出版当年[2020]版：
大类|1 区工程技术
小类|1 区计算机：人工智能1 区计算机：理论方法
最新[2023]版：
大类|1 区计算机科学
小类|1 区计算机：人工智能1 区计算机：理论方法
JCR分区：
出版当年[2019]版：
Q1COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEQ1COMPUTER SCIENCE, THEORY & METHODS
最新[2023]版：
Q1COMPUTER SCIENCE, THEORY & METHODSQ1COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
第一作者机构：[4]Department of Neurology, Kunming No.1 People’s Hospital, Kunming, China
推荐引用方式(GB/T 7714)：
zhao zhong.An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure[J].Information Fusion.2020,55:269-280.
APA：
zhao zhong.(2020).An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure.Information Fusion,55,
MLA：
zhao zhong."An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure".Information Fusion 55.(2020):269-280
工程技术