@article{1431688,
      author = {Bhoi, Akash Kumar. and Mallick, Pradeep Kumar, and Liu,  Chuan-Ming. and Balas, Valentina Emilia.},
      url = {http://library.usi.edu/record/1431688},
      title = {Bio-inspired neurocomputing /},
      publisher = {Springer,},
      abstract = {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, researchers as  well as practitioners interested in the rapidly evolving  field of neurocomputing and biomedical data analytics.},
      doi = {https://doi.org/10.1007/978-981-15-5495-7},
      recid = {1431688},
      pages = {1 online resource (427 pages)},
      address = {Singapore :},
      year = {2021},
}