Bio-Inspired Neurocomputing

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.

Dr. Akash Kumar Bhoi [PhD (Sikkim Manipal University), M.Tech (Karunya University), B.Tech (TAT, BPUT)] working as Assistant Professor in the Department of Electrical and Electronics Engineering at Sikkim Manipal Institute of Technology (SMIT), SMU, India. He has specialized in the field of Biomedical Engineering.  His areas of research are biomedical signal processing, Medical Image Processing, Computational Approaches and Pattern Recognition etc.. He is also a regular reviewer of journals of repute namely IEEE, Springer, Elsevier, Taylor and Francis, Inderscience etc. He has published several papers in national and international journals and conferences. He has also served on numerous organizing panels for the international conferences and workshops. He is currently editing several books with Springer Nature and serving as Guest editor for special issues of the journal like Springer Nature and Inderscience.