Proceedings of the Third International Conference on Computational Intelligence and Informatics

Dr. K. Srujan Raju is the Professor and Head, Department of CSE, CMR Technical Campus, Hyderabad, India. He has published several papers in refereed international conferences and peer-reviewed journals, and also, he was in the editorial board of Springer AISC, LAIS, LNNS, and other reputed journals. In addition to this, he has served as reviewer for many indexed national and international journals. Prof. Raju is awarded with Significant Contributor, Active Young Member Awards by CSI, authored 4 textbooks, and filed 7 patents and 1 copyright so far. Dr. A. Govardhan is presently a Professor of CSE, Rector, and Executive Council Member of JNTUH. He served and held several academic and administrative positions. He is the recipient of 31 international and national awards for outstanding services, achievements, contributions, meritorious services, outstanding performance, and remarkable role in the fields of education and service to the nation. He is a Chairmanand Member of Boards of Studies of various universities. Dr. B. Padmaja Rani is working as a Professor in CSE, JNTUHCEH, Hyderabad. She is having 15+ years of professional and 10+ years of research experience. Her areas of interest include Information Retrieval, Natural Language Processing, Information Security, Data Mining, Big Data, and Cloud Computing. Around 50 journals are other credits and she guided five Ph.D. students. She served as Head of the Department and conducted the 1st and 2nd International Conference on Computational Intelligence and Informatics(ICCII-2016, ICCII-2017) organized by the Department of CSE, JNTUHCEH, as one of the conveners. Dr. R. Sridevi is a Professor in CSE and presently serves as Head of the Department, JNTUHCEH. She served as Addl. Controller of Exams, JNTU, for 4 Years, having 18 years of teaching experience. Her interest includes Network Security & Cryptography, Steganography, Computer Networks, and Data Structures. Shehas published about 40 papers at national and international journals and conferences and got Best Paper Award. She is a Life Member of ISTE and IETE.  Dr. M. RamakrishnaMurty is working as an Associate Professor at ANITS, Visakhapatnam. His areas of interest include Data Mining, Databases, Big DataSoft Computing/Computational Intelligence, Machine Learning, Mobile Computing, Computer Networks, Artificial Intelligence, Object-Oriented Programming, and Programming languages. He is a Life Member of ISTE, CSI, & IE. He has 10 international journals, 10 international conferences, 1 national journal, and 3 national conference publications on his credit.

• Chapter 1. Storing Live Sensor Data to the Platforms of Internet of Things (IoT) using Arduino and Associated Microchips.- Chapter 2. Comparative Study of Performance of Tabulation & Partition method for Minimization of DFA.- Chapter 3. Click Through Rate Prediction Using Decision Tree.- Chapter 4. A New Framework Approach to Wine data set using Highest Voting by Item Endorsement.- Chapter 5. Study and Ranking of Vulnerabilities in the Indian Mobile Banking Applications using Static Analysis and Bayes Classification.- Chapter 6. Analysis Of Object Identification Using Quadrature Bank Filter In Wavelet Transforms.- Chapter 7. Experimental Analysis of the Changes in Speech while Normal Speaking, Walking, Running and Eating.- Chapter 8. UIP-A Smart Web Application to Manage Network Environments.- Chapter 9. Energy Distribution in a Smart Grid with Load Weight and Time Zone.- Chapter 10. Matrix Approach to Perform Dependent Failure Analysis in compliance with Functional Safety Standards.- Chapter 11. A Cloud-based Privacy Preserving e-healthcare System using Particle Swarm Optimization.- Chapter 12. Improved Approach to Extract Knowledge from Unstructured Data Using Applied Natural Language Processing Techniques.- Chapter 13. Word Sense Disambiguation in Telugu Language Using Knowledge Based Approach.- Chapter 14. A Study of Digital Banking: Security Issues and Challenges.- Chapter 15. Encoding Approach for Intrusion Detection Using PCA and KNN Classifier.