Format:
1 Online-Ressource(XXXVII, 832 p. 375 illus., 255 illus. in color.)
Edition:
1st ed. 2022.
ISBN:
9783031138706
Series Statement:
Lecture Notes in Computer Science 13393
Content:
Evolutionary Computing and Learning. Neural Networks -- Pattern Recognition -- Image Processing -- Information Security -- Biomedical Informatics Theory and Methods -- Biomedical Data Modeling and Mining -- Intelligent Computing in Computational Biology -- Computational Genomics and Biomarker Discovery -- Intelligent Computing in Drug Design -- Theoretical Computational Intelligence and Applications -- Fuzzy Theory and Algorithms -- Machine Learning and Data Mining -- Intelligent Computing in Computer Vision -- Intelligent Control and Automation -- Intelligent Data Analysis and Prediction -- Intelligent Computing and Optimization.
Content:
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.
Additional Edition:
ISBN 9783031138690
Additional Edition:
ISBN 9783031138713
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783031138690
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783031138713
Language:
English
DOI:
10.1007/978-3-031-13870-6
