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Titlebook: Behavior Engineering and Applications; Raymond Wong,Chi-Hung Chi,Patrick C. K. Hung Book 2018 Springer International Publishing AG, part o

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发表于 2025-3-21 18:04:34 | 显示全部楼层 |阅读模式
期刊全称Behavior Engineering and Applications
影响因子2023Raymond Wong,Chi-Hung Chi,Patrick C. K. Hung
视频video
发行地址Treats the topic of behavior engineering in a new way, from the perspectives of social networking and multi-media technologies.Crystallizes emerging behavior engineering technologies and trends to und
学科分类International Series on Computer, Entertainment and Media Technology
图书封面Titlebook: Behavior Engineering and Applications;  Raymond Wong,Chi-Hung Chi,Patrick C. K. Hung Book 2018 Springer International Publishing AG, part o
影响因子Many industrial applications built today are increasingly using emerging behavior engineering technologies: this book looks at various research and practical issues  for researchers and students working in computer science and engineering, and for industry technology providers interested in behavior engineering and applications. .Behavior Engineering and Applications. encompasses intelligent and efficient computational solutions, including models, architectures, algorithms and specific applications, focused on processing, discovering, understanding and analyzing the behavior captured by the above data. Focusing on applying any engineering paradigm to systemically process, discover, understand and analyze these data, this book also addresses problems in a variety of areas and applications that related to behavior engineering..This book includes chapters derived from selected papers from The 2016 International Conference on Behavior Engineering (ICBE), as well as separate contributions the editors selected cutting-edge research related to behavior engineering..
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Vaccination against cytomegalovirus,algorithms are able to improve the HAR classification performance while a single decision tree is shown to be a weak classifier. Finally, it is observed that good performance can be achieved when shadow features are applied over datasets of drastic activity; in this case shadow feature 2 is better t
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Benchmarking Swarm Rebalancing Algorithm for Relieving Imbalanced Machine Learning Problems,m rebalancing algorithms. Through the experimental results, we observe that the proposed algorithms overcome the current 17 comparative algorithms. Though some are better than the others, in general these algorithm exhibit superior computational speed, high accuracy and acceptable reliability of cla
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Performance Evaluation of Shadow Features as a Data Preprocessing Method in Data Mining for Human Aalgorithms are able to improve the HAR classification performance while a single decision tree is shown to be a weak classifier. Finally, it is observed that good performance can be achieved when shadow features are applied over datasets of drastic activity; in this case shadow feature 2 is better t
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2364-947X s book includes chapters derived from selected papers from The 2016 International Conference on Behavior Engineering (ICBE), as well as separate contributions the editors selected cutting-edge research related to behavior engineering..978-3-030-09487-4978-3-319-76430-6Series ISSN 2364-947X Series E-ISSN 2364-9488
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