Design and Development of Fuel Efficiency Monitoring System.- Design and Development of a Bite Force Measuring Device.- Future of Smart Vehicle Communication by using Li-Fi Technology.- Detection of Finger Print Pattern and Refractive Index of Deposited Sebum by Using Total Internal Reflection.- Photonic Crystal based Protective Shield for Medical Treatment with Phototherapy.- Speech Corpus development for Voice Controlled MAV.- Halftone Visual Cryptography for Color Images using Error Diffusion and Direct Binary Search.- Designing of P-Cycle Based Survivable Multicast RSA in Elastic Optical Networks.- Design and Development of Metamaterial Based High Performance Microstrip Antenna.- Design and Implementation of Universal Digital Demodulator using Neural Network Approaches.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Govind Kadambi is a Professor and Pro-Vice Chancellor in M.S. Ramaiah University of Applied Sciences. He has over 40 years of experience in both industry and academia, and specializes in numerical analysis and simulation, adaptive techniques in communication and signal processing, and antenna research, including analysis, measurement, design and applications. He has authored 1 book chapter and over 100 research papers, and holds 41 patents in various countries. Preetham B. Kumar is a Professor in the Department of Electrical and Electronic Engineering, California State University, Sacramento (USA). His research focuses on antennas, RF testing, EMI study, hyperthermia treatment of cancer. He has authored 6 book chapters 14 technical reports and 59 peer-reviewed articles in reputed journals and conferences.
Vasile Palade is a Reader in Pervasive Computing in the Department of Computing, Faculty of Engineering and Computing, Coventry University, UK. His research interests include machine learning/computational intelligence, encompassing hybrid intelligent systems, neural networks, fuzzy and neuro-fuzzy systems, nature inspired algorithms (genetic algorithms, particle swarm optimization), ensembles of classifiers, class imbalance learning. He has authored 4 authored books, 3 edited books and 5 conference proceedings, 7 book chapters and 110+ papers in journals and conference proceedings.
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