Smart Intelligent Computing and Applications

Prof. Suresh Chandra Satapathy is currently working as a Professor, School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. He obtained his Ph.D. in Computer Science and Engineering from JNTU Hyderabad and M.Tech. in CSE from NIT, Rourkela, Odisha, India. He has 27 years of teaching experience. His research interests are data mining, machine intelligence and swarm intelligence. He has acted as program chair of many international conferences and edited 6 volumes of proceedings from Springer LNCS and AISC series. He is currently guiding 8 scholars for Ph.D. Dr. Satapathy is also a Senior Member of IEEE.Dr. Vikrant Bhateja is a Professor, Department of Electronics & Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow and also the Head (Academics & Quality Control) in the same college. His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, patternanalysis and recognition, neural networks, soft computing and bio-inspired computing techniques. He has more than 90 quality publications in various international journals and conference proceedings. Prof. Bhateja has been on TPC and chaired various sessions from the above domain in international conferences of IEEE and Springer. He has been the track chair and served in the core-technical/editorial teams for international conferences: FICTA 2014, CSI 2014 and INDIA 2015 under Springer-ASIC Series and INDIACom-2015, ICACCI-2015 under IEEE. He is Associate Editor in International Journal of Convergence Computing (IJConvC) and also serving in the editorial board of International Journal of Image Mining (IJIM) under Inderscience Publishers. At present he is guest editor for two special issues floated in International Journal of Rough Sets and Data Analysis (IJRSDA) and International Journal of System Dynamics Applications (IJSDA) under IGI Global publications.J. R. Mohanty is an Associate Professor in the School of Computer Application, KIIT University, Bhubaneswar, Odisha (India). He has been working in the field of computer applications for 19 years. He earned his Ph.D. in Computer Science from Utkal University, India. His research interests include queuing networks, computational intelligence, and data mining.Dr. Siba K. Udgata is a Professor of School of Computer and Information Sciences, University of Hyderabad, India. He is presently heading Centre for Modelling, Simulation and Design (CMSD), a high-performance computing facility at University of Hyderabad. He has got his Master’s followed by Ph.D. in Computer Science (mobile computing and wireless communication). His main research interests are Wireless Communication, Mobile Computing, Wireless Sensor Networks and Intelligent Algorithms. He was a United Nations Fellow and worked in the United Nations University/International Institute for Software Technology (UNU/IIST), Macau as a Research in the year2001. Dr. Udgata is working as a principal investigator in many Government of India-funded research projects mainly for the development of wireless sensor network applications and application of swarm intelligence techniques. He has published extensively in refereed international journals and conferences in India as well as abroad. He was also in the editorial board of many Springer LNCS/LNAI and Springer AISC Proceedings.

• Chapter 1. Varying k-nearest Neighbours: An Attempt to Improve a Widely used Classification Model.- Chapter 2. Enhancing Restore Speed of In-line Deduplication Cloud Based Backup Systems by Minimizing Fragmentation.- Chapter 3. Mango Leaves Recognition Using Deep Belief Network with Moth-Flame Optimization and Multi-Feature Fusion.- Chapter 4. Comparison of Different Task Scheduling Algorithms in Cloud Computing Environment using Cloud Reports.- Chapter 5. Randomness Generation Based Quantum Key Agreement for Secured Routing in Mobile Ad-hoc Network.- Chapter 6. Security Architecture for IOT Based Home Automation.- Chapter 7. An Analysis of Total Risk Management in Performances of Public Sector Banks in India.- Chapter 8. An Empirical Analysis on FDI and ICT in India.- Chapter 9. Overview on Security Concerns Associated in Cloud Computing.- Chapter 10. Review on Mobile Web Services Architectures and Challenges.- Chapter 11. A Novel Image Steganography Model using LSB with Extended ASCII Codes.- Chapter 12. Ensemble of Deep Learning Approaches for ATC Classification.- Chapter 13. Non-deterministic Paillier Endorsement Asymmetric Key Cryptosystem Based Whirlpool Hashing Quotient Filter for Secured Data Access on Cloud Storage.- Chapter 14. Evaluating the Impact of Sampling based Nonlinear Manifold Detection Model on Software Defect Prediction Problem.- Chapter 15. Monitoring Fluid Level in Fluid Bags of Patient through Wireless Sensors in Hospital.