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Bhoi / Balas / Mallick

Bio-inspired Neurocomputing

Medium: Buch
ISBN: 978-981-15-5497-1
Verlag: Springer Nature Singapore
Erscheinungstermin: 23.07.2021
Lieferfrist: bis zu 10 Tage
This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchersas well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.

Produkteigenschaften


  • Artikelnummer: 9789811554971
  • Medium: Buch
  • ISBN: 978-981-15-5497-1
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 23.07.2021
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2021
  • Serie: Studies in Computational Intelligence
  • Produktform: Kartoniert, Paperback
  • Gewicht: 755 g
  • Seiten: 427
  • Format (B x H x T): 155 x 235 x 23 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Herausgeber

Bhoi, Akash Kumar

Balas, Valentina E.

Mallick, Pradeep Kumar

Liu, Chuan-Ming

Performance Measurement of various Hybridized kernels for Noise Normalization.- A precise analysis of Deep Learning for Medical Image Processing.- Artificial Intelligence for Internet of Things.- A Brief Review on Brain Tumour Detection.- Deep Learning Techniques for Electronic Health.- A Review on Psychological Brainwaves Behavior.