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Titlebook: Artificial Intelligence and Soft Computing; 20th International C Leszek Rutkowski,Rafa? Scherer,Jacek M. Zurada Conference proceedings 2021

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發(fā)表于 2025-3-21 18:23:10 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence and Soft Computing
期刊簡稱20th International C
影響因子2023Leszek Rutkowski,Rafa? Scherer,Jacek M. Zurada
視頻videohttp://file.papertrans.cn/163/162310/162310.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Artificial Intelligence and Soft Computing; 20th International C Leszek Rutkowski,Rafa? Scherer,Jacek M. Zurada Conference proceedings 2021
影響因子The two-volume set LNAI 12854 and 12855 constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2021, held in Zakopane, Poland, in June 2021. Due to COVID 19, the conference was held virtually..The 89 full papers presented were carefully reviewed and selected from 195 submissions. The papers included both traditional artificial intelligence methods and soft computing techniques as well as follows: .·??????? Neural Networks and Their Applications..?.·??????? Fuzzy Systems and Their Applications ..?.·??????? Evolutionary Algorithms and Their Applications..?.·??????? Artificial Intelligence in Modeling and Simulation..?.·??????? Computer Vision, Image and Speech Analysis..·??????? Data Mining..?..·??????? Various Problems of Artificial Intelligence..·??????? Bioinformatics, Biometrics and Medical Applications.
Pindex Conference proceedings 2021
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書目名稱Artificial Intelligence and Soft Computing影響因子(影響力)




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https://doi.org/10.1007/978-3-030-87897-9artificial intelligence; computer hardware; computer networks; computer science; computer systems; comput
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Karlheinz Lohs,Peter Elstner,Ursula Stephansification society’s standards which contain both non-destructive tests and visual surveys, to search structural damage, reliability, cracks, thickness measurement, and Water dripping generally documented by manually or with measurements tape. But, it is very hard to search cracks by visually monito
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https://doi.org/10.1007/b138937bject recognition. In this paper, we propose to present a technique for automatic filtering of cluttered surfaces. First, the technique clusters a point cloud and then based on three features that are size, distance and spatial information, cluttered surfaces are separated. To the best of our knowle
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