Soft Computing and Signal Processing

V. Sivakumar Reddy is Professor at the Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, and has more than 20 years of teaching and research experience. He completed his B.E. in Electronics and Communication Engineering from S.V. University, his M.Tech. in Digital Systems at JNT University and his Ph.D. in Electronics & Communication Engineering at IIT Kharagpur. His areas of research interest include Multi-media Signal Processing and Communication Protocols. He has published more than 120 papers in peer-reviewed journals and reputed conferences. He is a member of several academic bodies, such as IETE, IEEE, ISTE and CSI. He is also a reviewer for several IEEE journals. He was awarded as “Best Teacher” in three consecutive academic years with citation and cash award. He is the recipient of “India Jewel Award” for outstanding contribution in the research in the field of Engineering and Technology.V. Kamakshi Prasad completed his Ph.D. 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 21 years of teaching and research experience. His areas of research and teaching interest include speech recognition and processing, image processing, pattern recognition, ad hoc networks and computer graphics. He has published several books, chapters and research papers in peer-reviewed journals and conference proceedings. He is also an editorial board member of the International Journal of Wireless Networks and Communications and a member of several academic committees.  Jiacun Wang received a Ph.D. in Computer Engineering from Nanjing University of Science and Technology (NJUST), China, in 1991. He is currently 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 scientificstaff 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), at Miami, and Associate Professor at NJUST. He has published numerous books and research papers and is Associate Editor of several international journals. He has also served as a program chair, a program co-chair, a special sessions chair and a program committee member for several 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.K T V Reddy, Alumni of IIT Bombay, is presently working as Campus Director and Principal, Pravara Technical Education Campus, Sir Visvesvaraya Institute of Technology (SVIT) Nashik.” He was  Former Director at PSIT Kanpur. During his teaching career at Fr C Rodrigues Institute of Technology (FCRIT), Vashi, he cultivated, promoted and developed the Department of ET tothe extent that it started being considered as one of the best institutes under the University of Mumbai. He published over 100 papers in the national and international journals and conferences, delivered over 200 invited talks and organized over 150 conferences/workshops. Dr. Reddy is a fellow member of IETE, a senior member of IEEE and a life member of ISTE, ACM, and CSI. He has organized several international and national conferences/workshops.

• Chapter 1. Artificial Intelligence with New Approach of Concrete Ingredients changing in the Exact proportions.- Chapter 2. A New Approach in Cloud Environment to Improve Data Security Using Multiple Bits.- Chapter 3. Clustering Text: A comparison between available text vectorization techniques.- Chapter 4. Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-learning scheme.- Chapter 5. Virtual Mouse Control Using Finger Action.- Chapter 6. A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning.- Chapter 7. Neural Abstractive Summrizer for Telugu Language.- Chapter 8. OCR based assistive system for blind people.- Chapter 9. Modern Privacy Risks and Protection Strategies in Data Analytics.- Chapter 10. An approach towards deep learning based facial expression recognition in  wavelet domain.- Chapter 11. Modified UNet Architecture with Less Number of Learnable Parameters for Nuclei Segmentation.- Chapter 12. Classification of Diseases using CBC.- Chapter 13. Post Earthquake Building Damage Detection Using Deep Learning.- Chapter 14. Ensemble of Deep Transfer Learning Models for Parkinson's Disease Classification.- Chapter 15. Energy Efficient Clustering in Real world Wireless Sensor Networks: Implementation.