http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Fuzzy optimization techniques in the areas of science and management
1 online resource (xiii, 195 pages) : illustrations.
"This book helps to enhance the application of fuzzy logic optimization in the areas of science and engineering. It includes implementation and modeling paradigms such as path planning and routing design for different wireless networks, organization behavior strategies modeling, and so forth. It also explains inventory control management, uncertainties management, loss minimization, game optimization, data analysis and prediction, and different decision-making system and management, and so forth. Describes applicability of fuzzy optimization techniques in areas of science and management Resolves several issues based on uncertainty using member function Helps to map different problems based on mathematical modelling Includes issues and problems based on linear and non-linear optimizations Focuses on management science such as manpower management and inventory planning This book is aimed at researchers and graduate students in signal processing, power systems, systems and industrial engineering, and computer networks"--
Routing recovery protocol for wireless sensor network based on PSO-ACO and neural network / Jeevan Kumar, Tapan Kumar Dey, Rajesh Kumar Tiwari, Amit Kumar Singh -- Fuzzy inference based optimal route selection technique in wireless ad-hoc network / Santosh Kumar Das, Nikhil Patra, Biswa Ranjan Das, Aditya Sharma -- Fuzzy based mathematical model for optimizing network lifetime in MANET / Manoj Kumar Mandal, Arun Prasad Burnwal, B.K. Mahatha, Abhishek Kumar -- Game theory based conflicting strategy management technique in wireless sensor network / Santosh Kumar Das, Aman Kumar Tiwari, Somnath Rath, Joydev Ghosh -- Cluster based routing protocol for WSN using fusion of swarm intelligence and neural network / Jeevan Kumar, Rajesh Kumar Tiwari, Tapan Kumar Dey, Amit Kumar Singh -- Non-linear fuzzy optimization technique for wsn based on quadratic programming / Manoj Kumar Mandal, Arun Prasad Burnwal, B.K. Mahatha and Abhishek Kumar -- A review based on prediction analysis to mitigate the issues of COVID-19 / Santosh Kumar Das, Ankur Anand, Aditya Sharma -- Data analysis and prediction for WSN based on linear and quadratic optimization techniques / Manoj Kumar Mandal, Arun Prasad Burnwal, B.K. Mahatha, Abhishek Kumar -- Machine learning based data analysis for managing challenges of COVID-19 : a survey / Santosh Kumar Das, Ankur Anand, Joydev Ghosh -- Fuzzy geometric based cost optimization technique for company / Neha Kumari, Arun Prasad Burnwal, Neha Keshri.
edited by Santosh Kumar Das, Massimiliano Giacalone.
Includes bibliographical references and index.
Santosh Kumar Das received his Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India, in 2018 and completed his M. Tech. degree in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology (erstwhile WBUT), West Bengal, India, in 2013. He has about to three years teaching experience as Assistant Professor at School of Computer Science and Engineering, National Institute of Science and Technology (Autonomous), Institute Park, Pallur Hills, Berhampur, Odisha, India. He is currently working as Assistant Professor at Department of Computer Science and Engineering, Sarala Birla University, Birla Knowledge City, P.O.-Mahilong, Purulia Road, Ranchi, India. He has more than eight years teaching experience. He has authored/edited of five books with Springer in series as Lecture Notes in Networks and Systems, Tracts in Nature-Inspired Computing and Studies in Computational Intelligence. He has contributed more than 35 research papers. His research interests mainly focus on Ad-hoc & Sensor Network, Artificial Intelligence, Soft Computing, and Mathematical modelling. His h-index is 16 with more than 700 citations.Google Scholar Profile: https://scholar.google.com/citations?user=AkQx5KoAAAAJ&hl=en Massimiliano Giacalone received his Ph.D. degree in "Computational Statistics and Applications" from the University of Naples "Federico II", Department of Mathematics and Statistics. He received his graduate in "Statistics and Economics Sciences", magna cum laude (Faculty of Economics-University of Palermo). He is currently "Researcher in Statistics" and teaching staff member of the Department of Economics and Statistics, University of Naples "Federico II". He has contributed more than 100 research papers. His research area encompasses the following subjects: Multidimensional Data Analysis - Big Data for Social Statistics - Norm-p linear and nonlinear regression - Permutation Tests-Control Charts and Economic Statistics -Applications of Statistics in Medicine, in Justice and in Finance.Google Scholar Profile: https://scholar.google.com/citations?hl=en&user=O912O0MAAAAJ&view_op=list_works&sortby=pubdate
Computational intelligence in engineering problem solving