The book includes research papers on current developments in the field of soft computing and signal processing, selected from papers presented at the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It features papers on current topics, such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning. It also discusses various aspects of these topics, like technologies, product implementation, and application issues.

Autorentext

Jiacun Wang received his PhD in Computer Engineering from Nanjing University of Science and Technology (NJUST), China in 1991. He is currently a Professor at the Computer Science and Software Engineering Department at Monmouth University, West Long Branch, New Jersey. From 2001 to 2004, he was a member of the scientific staff at Nortel Networks in Richardson, Texas. Prior to joining Nortel, he was a Research Associate at the School of Computer Science, Florida International University (FIU) in Miami. Before that, he was an Associate Professor at NJUST. He has published numerous books and research papers, is an associate editor of several international journals and has served as program chair, program co-chair, special sessions chair and program committee member for various international conferences. He is the secretary of the Organizing and Planning Committee of the IEEE SMC Society and has been a senior member of IEEE since 2000.

G. Ram Mohana Reddy received his B.E. in Electronics and Communication Engineering from Sri Venkateswara University, Andhra Pradesh in 1987, and his M.Tech. in Telecommunication Systems Engineering from Indian Institute of Technology, Kharagpur in 1993. He completed his Ph.D. at The University of Edinburgh on Cognitive Hearing Science in 2005. He is currently Professor and Head of the IT department of NITK Surathkal, Mangalore. He has contributed in several projects of national and international importance in areas like affective human-centered computing, big data and cognitive analytics, cognitive hearing and speech science, cloud computing, social multimedia and social network analysis. He has published several books, research papers, conference proceedings in these areas. He is an active member of numerous international associations like IEEE and ACM.

V. Kamakshi Prasad completed his PhD in Speech Recognition at the Indian Institute of Technology Madras and his M.Tech. in Computer Science & Technology at Andhra University in 1992. He has more than 20 years of teaching and research experience and has supervised numerous doctoral and postgraduate students. His research and teaching interests include speech recognition and processing, image processing, pattern recognition, ad-hoc networks and computer graphics. He has published several books, book chapters, and research papers in peer-reviewed journals and conference proceedings. He is also an editorial board member of International Journal of Wireless Networks and Communications and a member of several academic committees.

V. Sivakumar Reddy is a Professor at the Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology. He received his B.E. in Electronics and Communication Engineering from S.V. University and his M.Tech. from JNT University in Digital Systems. He completed his Ph.D. in Electronics and Communication Engineering at IIT Kharagpur. His research interests include computer networks and communication, video processing, multi-media system design, operating systems, TCP/IP networks & protocols. He has published more than 100 papers in peer-reviewed journals and conference proceedings in these areas. He is a member of several academic bodies like IETE, IEEE, ISTE and CSI. He is also a reviewer for several IEEE journals.

Inhalt
A Graphical Computational Tool for Computerized Ventricular Extraction in Magnetic Resonance Cardiac Imaging.- Speckle Noise Suppression in Ultrasound Images by Using an Improved Non Local Mean Filter.- Internet of Things: Revealing and Analysis of Security and Mitigating Future Counter Measures.- Agricultural Monitoring and Controlling System Using Wireless Sensor Network.- Using Hierarchies in Online Social Networks to Determine Link Prediction.- Data Analysis, Visualization and Leak Size Modeling for Water Distribution Network.- Context Sensitive Thresholding Technique Using ABC for Aerial Images.- A Study on Convolutional Neural Networks with Active Video Tubelets for Object Detection and Classification.- New Gossiping Protocol for Routing Data in Sensor Networks for Precision Agriculture.- Deep Sentiments Extraction for Consumer Products Using NLP Based Technique.- Spark Streaming For Predictive Business Intelligence.- Comparative Study of AODV and OLSR Routing Protocols.- Adaptive Noise Cancellation Using NLMS Algorithm.- Fruit Detection from Images and Displaying Its Nutrition Value Using Deep Alex Network.- Dynamic Spectrum Allocation and RF Energy Harvesting in Cognitive Radio Network.