Expert System Techniques in Biomedical Science Practice is an essential scholarly resource that contains innovative research on the methods by which an expert system is designed to solve complex problems through the automation of decision making through the use of if-then-else rules rather than conventional procedural methods. Featuring coverage on a broad range of topics such as image processing, bio-signals, and cognitive AI, this book is a vital reference source for computer engineers, information technologists, biomedical engineers, data-processing specialists, medical professionals, and industrialists within the fields of biomedical engineering, pervasive computing, and natural language processing.
Aleena Swetapadma received a B.Tech degree from CET, Bhubaneswar, India (2011) and M.Tech degree from NIT, Raipur, India (2013). She received her Ph.D. degree in electrical engineering from NIT, Raipur, India, in 2016. She is currently working as Associate Professor in KIT University, Bhubaneswar, India. Her research interest includes power system protection, FACTS, HVDC, artificial intelligence, and signal and image processing. She is a member of IEEE, IE India and institute of Scholars, India. She got a POSOCO power system award from PGCIL, India, for her M.Tech thesis (2014) and Ph.D. thesis (2017). She is conferred with the Young Achiever Award 2021 from the Institute of Scholars. She has published papers in refereed journals such as IEEE, IET, Elsevier, Springer, Wiley, etc.
Jay Sarraf, M. Tech ( Computer Sc. and Engineering), is working as Assistant Professor at the School of Computer Engineering, KIIT University. His field of interest includes Brain Computer interface. [Editor]