Intelligent Computing Theories and Application
Springer International Publishing (Verlag)
978-3-030-60798-2 (ISBN)
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.
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.
| Erscheinungsdatum | 15.10.2020 |
|---|---|
| Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
| Zusatzinfo | XXXIV, 614 p. 261 illus., 148 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 979 g |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Schlagworte | Artificial Intelligence • Bioinformatics • Computational Biology • computational genomics • Data Mining and Clustering • Deep learning • Ensemble methods • Feature Selection • Kernel Methods • molecular sequence analysis • motif discovery • Neural networks • Reinforcement Learning • Semi-Supervised Learning • supervised learning • Support Vector Machines • systems biology • Unsupervised Learning |
| ISBN-10 | 3-030-60798-4 / 3030607984 |
| ISBN-13 | 978-3-030-60798-2 / 9783030607982 |
| Zustand | Neuware |
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