Congress on Intelligent Systems, 1st ed. 2021
Proceedings of CIS 2020, Volume 1

Advances in Intelligent Systems and Computing Series, Vol. 1334

Language: English

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This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India during September 5 ? 6, 2020. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro fuzzy systems.
Modelling Subjective Happiness with a Survey Poisson Model and XGBoost using an Economic Security Approach.- Monitoring web-based evaluation of online reputation in Barcelona.- Information Technology for the Synthesis of Optimal Spatial Configurations with Visualization of the Decision-Making Process.- Hybrid Approach to Combinatorial and Logic Graph Problems.- Energy Efficient Algorithms Used In Datacenters : A Survey.- Software Log Anomaly Detection Method using HTM Algorithm.- Logical Inference in Predicate Calculus with the Definition of Previous Statements.- Congestion Management Considering Demand Response Programs using Multi-objective Grasshopper Optimization Algorithm.- A Hardware accelerator implementation of Multilayer Perceptron.- Building a classifier of behavior patterns for semantic search based on cuckoo search meta-heuristics.- TETRA Enhancement Based on Adaptive Modulation.- Dynamic stability enhancement of grid connected wind system using grey wolf optimization technique.- A Comparative Analysis on wide area power system control with Mitigation the effects of imperfect medium.- Adware Attack Detection on IoT Devices using Deep Logistic Regression SVM (DL-SVM-IOT).- Intrusion Detection System for Securing Computer Networks Using Machine Learning: A Literature Review.- An Exploration of Entropy techniques for Envisioning Announcement Period of Open Source Software.- Occurrence prediction of pests and diseases in rice of  weather factors using Machine Learning.- A Literature Review on Generative Adversarial Networks with its Applications in Healthcare.- A Federated Search System for Online Property Listings Based on SIFT Algorithm.- Digital Brain Building a Key to Improve Cognitive Functions by an EEG–Controlled Videogames as Interactive Learning Platform.- Intelligent car cabin safety system through IoT application.- Utilization of Delmia Software for  Saving Cycle Time in Robotics Spot Welding.- Data protection techniques over multi-cloud environment- a review.- Review Paper: Error Detection and Correction onboard Nanosatellites.- Kerala Floods : Twitter Analysis using Deep Learning Techniques.- An Improved DVFS Circuit & Error Correction Technique.- Effective Predictive Maintenance to overcome  System Failures – A Machine Learning Approach.- IN-LDA: An Extended Topic Model for Efficient Aspect Mining.- Imbalance Rectification using Venn Diagram based Ensemble of Undersampling Methods for Disease Datasets.
Harish Sharma is Associate Professor at Rajasthan Technical University, Kota, in the Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University Kota, and Government Engineering College Jhalawar. He received his B.Tech. and M.Tech. degree in Computer Engineering from Government Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India. 
He is the secretary and one of the founder members of Soft Computing Research Society of India. He is a lifetime member of Cryptology Research Society of India, ISI, Kolkata. He is Associate Editor of “International Journal of Swarm Intelligence (IJSI)” published by Inderscience. He has also edited special issues of the many reputed journals like “Memetic Computing”, “Journal of Experimental and Theoretical Artificial Intelligence”, and “Evolutionary Intelligence”. His primary area of interest is nature-inspired optimization techniques. He has contributed to more than 65 papers published in various international journals and conferences.
 
Dr. Mukesh Saraswat is Associate Professor at Jaypee Institute of Information Technology, Noida, India. Dr. Saraswat has obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 18 years of teaching and research experience. He has guided 02 Ph.D. students, more than 50 M.Tech. and B.Tech. dissertations, and presently guiding 05 Ph.D. students. He has published more than 40 journal and conference papers in the area of image processing, pattern recognition, data mining, and soft computing. He was the part of successfully completed DRDE funded project on image analysis and currently running two projects funded by SERB-DST (New Delhi) on Histopathological Image Analysis and Collaborative Research Scheme (CRS), Under TEQIP III

Includes novel and innovative work from experts, practitioners, scientists and decision-makers

Presents recent research in intelligent systems presented at CIS 2020, New Delhi, India

Serves as a reference resource for researchers and practitioners in academia and industry