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Titolo: | Intelligent computing theories and application : 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020 : proceedings. Part I / / edited by De-Shuang Huang, Vitoantonio Bevilacqua, Abir Hussain |
Pubblicazione: | Cham, Switzerland : , : Springer, , [2020] |
©2020 | |
Edizione: | 1st ed. 2020. |
Descrizione fisica: | 1 online resource (XXXIV, 614 p. 261 illus., 148 illus. in color.) |
Disciplina: | 006.3 |
Soggetto topico: | Image processing |
Artificial intelligence - Medical applications | |
Computational intelligence | |
Persona (resp. second.): | HuangDe-Shuang |
HussainAbir | |
BevilacquaVitoantonio | |
Note generali: | Includes index. |
Nota di contenuto: | Evolutionary Computing and Learning -- Swarm Intelligence and Optimization -- Compressed Sensing and Sparse Coding -- Neural Networks -- Signal Processing -- Pattern Recognition -- Biometrics Recognition -- Image Processing -- Information Security -- Artificial Intelligence in Biological and Medical Information Procession -- Recent advances in deep learning methods and techniques for medical image analysis. |
Sommario/riassunto: | This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020. The 162 full papers of the three proceedings volumes were carefully reviewed and selected from 457 submissions. The ICIC theme unifies 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. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, addressing theories, methodologies, and applications in science and technology. |
Titolo autorizzato: | Intelligent Computing Theories and Application |
ISBN: | 3-030-60799-2 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910427706303321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |