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Titlebook: Hybrid Artificial Intelligent Systems; 15th International C Enrique Antonio de la Cal,José Ramón Villar Flecha Conference proceedings 2020

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發(fā)表于 2025-3-21 19:08:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Hybrid Artificial Intelligent Systems
副標(biāo)題15th International C
編輯Enrique Antonio de la Cal,José Ramón Villar Flecha
視頻videohttp://file.papertrans.cn/431/430056/430056.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Hybrid Artificial Intelligent Systems; 15th International C Enrique Antonio de la Cal,José Ramón Villar Flecha Conference proceedings 2020
描述.This book constitutes the refereed proceedings of the 15th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2020, held in Gijón, Spain, in November 2020...The 65 regular papers presented in this book were carefully reviewed and selected from 106 submissions. The papers are grouped into these topics: advanced data processing and visualization techniques; bio-inspired models and optimization; learning algorithms; data mining, knowledge discovery and big data; and hybrid artificial intelligence applications..
出版日期Conference proceedings 2020
關(guān)鍵詞hybrid artificial intelligent systems; advanced data processing; visualization techniques; bio-inspired
版次1
doihttps://doi.org/10.1007/978-3-030-61705-9
isbn_softcover978-3-030-61704-2
isbn_ebook978-3-030-61705-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

書目名稱Hybrid Artificial Intelligent Systems影響因子(影響力)




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An Hybrid Registration Method for SLAM with the M8 Quanergy LiDARper we propose a hybrid point cloud registration method that profits from the high accuracy of classic iterated closest points (ICP) algorithm, and the robustness of the Normal Distributions Transform (NDT) registration method. We report positive results in an in-house experiment encouraging further research and experimentation.
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Conference proceedings 2020ouped into these topics: advanced data processing and visualization techniques; bio-inspired models and optimization; learning algorithms; data mining, knowledge discovery and big data; and hybrid artificial intelligence applications..
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Comparison of Labeling Methods for Behavioral Activity Classification Based on Gaze Ethogramse carry out several experiments with experimental subjects in an office-like environment with no special lighting conditions. The result is a set of recommendations that allow to classify the activities with high precision.
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An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysise function particular to the keyword selection problem, as well as metrics for evaluating Twitter keywords, namely: . and ., on top of traditional metrics such as .. In our experiments, our evolutionary computing approach achieved a tweet retreival power of ., compared to . achieved by the baseline human approach.
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0302-9743 ld in Gijón, Spain, in November 2020...The 65 regular papers presented in this book were carefully reviewed and selected from 106 submissions. The papers are grouped into these topics: advanced data processing and visualization techniques; bio-inspired models and optimization; learning algorithms; d
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