基于不同机器学习算法的老年人跌倒检测

Q1 Computer Science
F. Kausar, M. Mesbah, Waseem Iqbal, Awais Ahmad, Ikram Sayyed
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Fall Detection in the Elderly using Different Machine Learning Algorithms with Optimal Window Size
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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
0
期刊介绍: JoWUA is an online peer-reviewed journal and aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to wireless mobile networks, ubiquitous computing, and their dependable applications. JoWUA consists of high-quality technical manuscripts on advances in the state-of-the-art of wireless mobile networks, ubiquitous computing, and their dependable applications; both theoretical approaches and practical approaches are encouraged to submit. All published articles in JoWUA are freely accessible in this website because it is an open access journal. JoWUA has four issues (March, June, September, December) per year with special issues covering specific research areas by guest editors.
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