This book presents original research works by researchers, engineers and practitioners in the field of artificial intelligence and cognitive computing. The book is divided into two parts, the first of which focuses on artificial intelligence (AI), knowledge representation, planning, learning, scheduling, perception-reactive AI systems, evolutionary computing and other topics related to intelligent systems and computational intelligence. In turn, the second part focuses on cognitive computing, cognitive science and cognitive informatics. It also discusses applications of cognitive computing in medical informatics, structural health monitoring, computational intelligence, intelligent control systems, bio-informatics, smart manufacturing, smart grids, image/video processing, video analytics, medical image and signal processing, and knowledge engineering, as well as related applications.

Autorentext

Raju Surampudi Bapi is a Professor at the School of Computer and Information Sciences, University of Hyderabad, India and was a Visiting Professor at the Cognitive Science Lab, International Institute of Information Technology, Hyderabad during 2014-2017. He received his BE (Electrical Engineering) from Osmania University, Hyderabad, India, and his MS (Biomedical Engineering (BME)) and PhD (Mathematical Sciences Computer Science (CS)) from the University of Texas at Arlington, USA. He was an EPSRC (Engineering and Physical Sciences Research Council) Postdoctoral Fellow at the University of Plymouth, UK and worked as a Researcher on the Kawato Dynamic Brain Project, ATR Labs in Kyoto, Japan before joining University of Hyderabad in 1999. He has published over 100 papers in International Journals and for International Conferences. He served as the coordinator of the Center for Neural and Cognitive Sciences, University of Hyderabad, India. His main research interests include Biological and Artificial Neural  Networks, Neural and Cognitive Modelling, Machine Learning, Pattern Recognition, Neuroimaging and Cognitive Science. He is a Senior Member of IEEE, Member of the ACM, the Cognitive Science Society (USA), Association for Cognitive Science (India) and the Society for Neuroscience (USA).

Srinivas Rao Koppula is currently a Professor and Head of the Department of Information Technology, MLR Institute of Technology, Telangana State, India. He received his PhD in Computer Science Engineering from Anna University, Chennai and his Master's degree in Computer Science and Engineering from Osmania University, Hyderabad. He has more than 20 years of teaching and research experience. His research interests include data mining, RFID data streams, natural language processing, and artificial intelligence studies and their applications to engineering. He has more than 19 publications in various reputed international journals and for conference proceedings to his credit, and is a senior member of the Computer Society of India.

Munaga V. N. K. Prasad received his doctoral degree from the Institute of Technology, Banaras Hindu University, Varanasi, Uttar Pradesh, India. Currently, he is an Associate Professor at the Institute for Development and Research in Banking/Technology, Hyderabad. He has published numerous papers in international and national journals. His research interests include Biometrics, Payment System Technologies and Digital Watermarking. He is a senior member of the IEEE, and member ACM.

Inhalt

Automatic Retail Product Image Enhancement and Background Removal.- Acquiring Best Rules that Represent Datasets.- A New Document Representation Approach for Gender Prediction using Author Profiles.- Secure Privacy Preserving of Personal Health Records using Attribute Based Encryption in Cloud Computing.- Automating WEB Interface in Relation to User Behavior.- Cognitive Based Adaptive Path Planning for Mobile Robot in Dynamic Environment.- Prediction for Indian Road Network Images Dataset Using Feature Extraction Method.- Speaker Diarization System Using Hidden Markov Toolkit.- A Generic Survey on Medical Big Data Analysis Using Internet of Things.- Smart Heart Beat Monitoring System Using Machine Learning.- Big Data Analytics on Aadhar Card Dataset in Hadoop Eco System.- A New Method for Edge Detection Under Hazy Environment in Computer Vision.- Analysis and Optimization of FIR Filters Using Parallel Processing and Pipelining.