This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2021), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during 13-14 August 2021. The book focuses on "Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems" enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet on Things, cybersecurity, communication systems, and distributed computing and smart systems.

Autorentext

Dr. A. Brahmananda Reddy, is an Associate Professor in the Department of CSE at VNR VJIET, Hyderabad. Dr. Reddy holds a Ph.D.-CSE and M.Tech.-CSE from JNTU Anantapur, and B.Tech. - CSIT from JNTUH Hyderabad. He has over 14 years of experience in the field of academic research and technological education and has more than 20 research papers published in various reputed national/international conferences and journals, listed in Scopus, Web of Science, IEEE, Inderscience, Springer proceedings, also editor for the book published by Springer ``Algorithms for Intelligent Systems (AIS) series titled Machine Learning Technologies and Applications''. He is Member of IEEE, lifetime Member of ISTE and CSI. Dr. Reddy's research interests include Knowledge Engineering, and semantic Web. He conducted many seminars/workshops/FDPs and delivered knowledge sharing sessions in various academic institutions. He has guided many UG and PG projects in Mezzanine technologies. He is in-charge for student's industrial visits and Department MoUs in reducing the gap between academia and industry. He is a Jury Member consecutively for the Smart India Hackathon Grand Finale SIH 2018, SIH 2019, SIH 2020 Software Edition and evaluator for Toycathon 2021 organized by AICTE and MHRD. He chaired sessions for various international conferences and reviewed various reputed international conferences and journals.

Dr.B.V. Kiranmayee working as Professor & HOD of CSE at VNR VJIET. She owned Ph.D. from JNTU Hyderabad in Data Mining, M.Tech & B.Tech in CSE. She has 23 years of teaching and research experience, and has published over 30 research papers in reputed international journals. She is a senior & life member of IEEE, ISTE&CSI. Dr.Kiranmayee's research interests are data mining, machine learning, and deep learning. She received funds from UGC. Consultancy on Virtual Tour for Warangal Tourism, developing school educational videos, TCS online examinations. She is Convener for seminars, workshops, FDPs that benefited students. She is Chairman of BoS in the department and served as BOS Member for other colleges. She established the Centre of Excellence in Data Science, Big Data. Under her leadership the department signed MoUs with software Industries, Institutions. She has contributed for NBA accreditation, NAAC A++, QS Diamond rating, NIRF ranking. She got the Best Paper award for Eye state Detection and Analysis for Driver's Fatigue in ICSCI. She guided UG, PG projects in Mezzanine technologies. Her Mentee students bagged ISTE, CSI awards titled Best Student Innovator, Best CSE Student, Best Accredited Student Branch and students won awards in coding competitions Smart Indian Hackathon-2018,2019, Code for Good (JPMC), Swish Hackathon, ACM/ICPC, VesAithon.

Dr. Raghava Rao Mukkamala is the director for the Centre for Business Data Analytics, an associate professor at the Department of Digitalization, Copenhagen Business School (CBS), Denmark. He is also Program Director for the new Master's Programme in Data Science. Raghava also holds an adjunct professorship at the Department of Technology, Kristiania University College, Oslo, Norway. His current research focus is on the interdisciplinary approach to big data analytics. Combining formal/mathematical modeling approaches with data/text mining techniques and machine learning methodologies, his current research program seeks to develop new algorithms and techniques for big data analytics, such as social set analytics. Dr. Raghava has published more than 70 peer-reviewed publications, and he has an h-index = 23 and i10-index = 39. In addition, he supervises 3 Ph.D. students and four postdocs in various research projects on blockchain, cybersecurity, data science, and big data analytics. Dr. Raghava holds a Ph.D. degree in Computer Science and an M.Sc. degree in Information Technology, both from IT University of Copenhagen, Denmark, and a Bachelor of Technology degree from JNTU, Hyderabad, India. Before moving to research, Raghava has many years of programming and IT development experience from the Danish IT industry. 

Dr. K Srujan Raju is a Dean Student Welfare, HOD CSE at CMRTC. He obtained his Doctorate in Computer Science in Network Security. He has more than 20 years of experience in academics and research. Dr. Raju is presently working on 2 projects funded by Government of India under CSRI & NSTMIS, also filed 7 patents and 1 copyright at Indian Patent Office, edited more than 14 books published by Springer Book Proceedings of AISC series, LAIS series, and others are indexed by Scopus, also authored books in C Programming & Data Structure, Exploring to Internet, Hacking Secrets, cont...

Inhalt
Deep Learning for Conversions between Melodic Frameworks of Indian Classical Music.- Content-Based Image Retrieval System using Fuzzy Colour and Local Binary Pattern with Apache Lucene.- Machine Vision Based Conveyor & Structural Health Monitoring Robot for Industrial Application using Deep Learning.- Design and Development of Marathi Word Stemmer.- Survey on Deep Learning System for Intruder Behaviour Detection and Classification in Cloud Computing.- Abstractive Multi-Document Summarization using Deep Learning Approaches.- Heart Disease Prediction using Decision Tree and SVM.- Classification of Skin Diseases using Ensemble Method.- An Integrated Decision Support System for Strom Surge Early Warning using SOA.- Object Tracking and Detection using Convolutional Neural Networks.- Novel Coronavirus Progression Analysis using Time Series Forecasting.- A Modern Approach to Seed Quality Check and it's Traceability in Agriculture.- Experimental Face Recognition System using Deep Learning Approaches.- Customer-Centric Ecommerce Implementing Artificial Intelligence for Better Sales and Service.- Tomato Plant Disease Classification Using Deep Learning Architectures: A Review.