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Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) : Volume 1: Smart Healthcare / edited by Anu Bajaj, Ajith Abraham, Oscar Castillo

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Networks and Systems ; 1243Publisher: Cham : Springer Nature Switzerland, 2025Publisher: Cham : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XVIII, 615 p. 300 illus., 234 illus. in color.)ISBN:
  • 9783031810800
Subject(s): Additional physical formats: 9783031810794 | 9783031810817 | Erscheint auch als: 9783031810794 Druck-Ausgabe | Erscheint auch als: 9783031810817 Druck-AusgabeDDC classification:
  • 006.3 23
DOI: DOI: 10.1007/978-3-031-81080-0Online resources: Summary: Approximated ensemble learning driven boosting method for breast cancer prediction on multi-modal clinical datasets -- A Medical Image Encryption Technique using Tropical Semiring -- A robust key exchange scheme for the Internet of Medical Things.Summary: This book presents 57 selected papers focused on Smart Health Care from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. SoCPaR – NaBIC 2023 had contributions by authors from 39 countries. This Volume offers a valuable reference guide for all medical doctors, scientists, academicians, researchers, students and practitioners in the field of artificial intelligence and smart health care.PPN: PPN: 1924005212Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT
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