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Titlebook: Intelligent Computing Methodologies; 18th International C De-Shuang Huang,Kang-Hyun Jo,Abir Hussain Conference proceedings 2022 The Editor(

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书目名称Intelligent Computing Methodologies
副标题18th International C
编辑De-Shuang Huang,Kang-Hyun Jo,Abir Hussain
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligent Computing Methodologies; 18th International C De-Shuang Huang,Kang-Hyun Jo,Abir Hussain Conference proceedings 2022 The Editor(
描述This two-volume set of LNCS 13393 and LNCS 13394 constitutes - in conjunction with the volume LNAI 13395 - the refereed proceedings of the 18th International Conference on Intelligent Computing, ICIC 2022, held in Xi‘an, China, in August 2022. The 209 full papers of the three proceedings volumes were carefully reviewed and selected from 449 submissions..This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Advanced Intelligent Computing Technology and Applications”. Papers focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology..
出版日期Conference proceedings 2022
关键词artificial intelligence; communication systems; computer hardware; computer networks; computer science; c
版次1
doihttps://doi.org/10.1007/978-3-031-13832-4
isbn_softcover978-3-031-13831-7
isbn_ebook978-3-031-13832-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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A Clustering Method Based on Improved Density Estimation and Shared Nearest Neighborsd the remaining points are allocated according to the distance between them and the nearest higher-density point. Using this clustering process, the proposed method can automatically discover the number of clusters. Experimental results on synthetic and real-world datasets show that the proposed met
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Clustering Analysis in the Student Academic Activities on COVID-19 Pandemic in Mexicoorithm has better results when the number of groups is bigger, leading to a lower error in the model. Also, the analysis helps to make evident that the lack of adequate computing equipment, internet connectivity, and suitable study spaces impact the quality of the education that students receive, ca
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Application of Stewart Platform as a Haptic Device for Teleoperation of a Mobile Robotlity to measurement noise compared to the traditional ESO. Accordingly, this fault-tolerant control will enhance the performance of the system under uncertainties, disturbances, and make the haptic handle move smoothly even in the presence of faults in the system. Finally, the haptic device is appli
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