Congress On Intelligent Systems - Sharma Harish (Curatore); Saraswat Mukesh (Curatore); Yadav Anupam (Curatore); Kim Joong Hoon (Curatore); Bansal Jagdish Chand (Curatore) | Libro Springer 06/2021 -

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sharma harish (curatore); saraswat mukesh (curatore); yadav anupam (curatore); kim joong hoon (curatore); bansal jagdish chand (curatore) - congress on intelligent systems

Congress on Intelligent Systems Proceedings of CIS 2020, Volume 2

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Lingua: Inglese


Pubblicazione: 06/2021
Edizione: 1st ed. 2021


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.


Model based data collection systems on fog platforms.- Notification System For Text Detection On Document Images Using Graphical User Interface (GUI).- Estimation of Road Damage for Earthquake Evacuation Guidance System Linked with SNS.- Analysis of the Messages from Social Network for Emergency Cases Detection.-Intelligent simulation of competitive behavior in a business system.- Minimizing the Subset of Features on BDHS Dataset to Improve Prediction on Pregnancy Termination.- PUNER - Parsi ULMFiT for Named-Entity Recognition in Persian Texts.- A Coverage and Connectivity of WSN in 3D Surface Using Sailfish Optimizer.- A Classification Model for Software Bug Prediction Based on Ensemble Deep Learning Approach Boosted with SMOTE Technique.- Modeling the relationship between distance and received signal strength indicator of the Wi-Fi over the sea to extract data in situ from a marine monitoring buoy.- Data Classification Model for Fog-Enabled Mobile IoT Systems.- Multi-Objective Teaching–Learning-based Optimization for Vehicle Fuel Saving Consumption.- A tripod type walking assistance for the stroke patient.- Data Routing With Load Balancing Using Ant Colony Optimization Algorithm.- Speech Emotion Recognition Using Machine Learning Techniques.- Feature Based AD Assessment using ML.- Show Based logical profound learning demonstrates utilizing ECM fuzzy deduction rules in DDoS assaults for WLAN 802.11.- Atmospheric Temperature Prediction Using Ensemble Deep Learning Technique.- Reliability Evaluation of Distribution System based on Interval Type-2 Fuzzy System.- Design of Automatic Answer Checker.- Community detection using Fire propagation and Boundary vertices.- Handwritten Devanagari Character recognition using CNN with Transfer Learning.- Input parameter optimization with simulated annealing algorithm for predictive HELEN-I ion source.- LRSS-GAN: Long Residual Paths and Short Skip Connections Generative Adversarial Networks for Domain Adaptation and Image Inpainting.- Tweets Reporting Abuse Classification Task: TRACT.- Enhance The Prediction of Air Pollutants Using K-Means++ Advanced Algorithm with Parallel Computing.- Towards Grammatical Evolution Based Automated Design of Differential Evolution Algorithm.- Efficient Fuzzy Similarity based Text Classification with SVM and Feature Reduction.- Plasma Density Prediction for Helicon Negative Hydrogen Plasma Source using Decision Tree and Random Forests Algorithm.- Automatic Recognition of ISL Dynamic Signs with Facial Cues.- A Blockchain based Multi-Layer Framework for securing Healthcare Data on Cloud.- Analysis of Lightweight Cryptography Algorithms for IoT Communication.- Disease Prediction from Speech using Natural Language Processing and Deep Learning Methods.- Investigation on Error Correcting Channel Codes for 5G New Radio.- Classification of Human Postural Transition and Activity Recognition Using Smartphone Sensor Data.- Color image watermarking technique using Principal component in RDWT domain.- Query Auto-Completion Using Graphs.- Comparative Analysis of Load Flows and Voltage Depended Load Modeling methods of Distribution Networks.- A Framework for Disaster Monitoring using Fog Computing.- Attitude Control in Unmanned Aerial Vehicles using Reinforcement Learning – A Survey.- Self-Supervised Learning Approaches for Traffic Engineering in Software Defined Networks.- Passive Motion Tracking for Assisting Augmented Scenarios.- Black Hole-White Hole Algorithm for Dynamic Optimization of Chemically Reacting Systems.- Automated cooperative robot for screwing application.- Flexible Bolus Insulin Intelligent Recommender System for Diabetes Mellitus  using Mutated Kalman Filtering Techniques.- Deep learning technique for predicting optimal  ‘Organ At Risk’ dose distribution for brain tumor patients.- A fractional model to study the diffusion of cytosolic calcium.


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 (RTU-ATU) on Smile. He has been an active member of many organizing committees of various conferences and workshops. He was also Guest Editor of the Journal of Swarm Intelligence. He is an active member of IEEE, ACM, and CSI Professional Bodies. His research areas include image processing, pattern recognition, mining, and soft computing.

Dr. Anupam Yadav is Assistant Professor, Department of Mathematics, Dr. BR Ambedkar National Institute of Technology Jalandhar, India. His research area includes numerical optimization, soft computing, and artificial intelligence; he has more than ten years of research experience in the areas of soft computing and optimization. Dr. Yadav has done Ph.D. in soft computing from Indian Institute of Technology Roorkee, and he worked as Research Professor at Korea University. He has published more than twenty-five research articles in journals of international repute and has published more than fifteen research articles in conference proceedings. Dr. Yadav has authored a textbook entitled “An introduction to neural network methods for differential equations”. He has edited three books which are published by AISC, Springer Series. Dr. Yadav was General Chair, Convener, and a member of steering committee of several international conferences. He is Associate Editor in the journal of the experimental and theoretical artificial intelligence. Dr. Yadav is a member of various research societies.

Professor Kim, Dean of Engineering College of Korea University, obtained his Ph.D. degree from the University of Texas at Austin in 1992 with the thesis title “Optimal replacement/rehabilitation model for water distribution systems”.  Prof. Kim’s major areas of interest include optimal design and management of water distribution systems, application of optimization techniques to various engineering problems, and development and application of evolutionary algorithms. His paper which introduced the Harmony Search algorithm has been cited for more than 5,000 times according to Google Scholar. He has been the faculty of School of Civil, Environmental and Architectural Engineering at Korea University since 1993. He has hosted international conferences including APHW 2013, ICHSA 2014 & 2015, and HIC 2016 and has given keynote speeches at many international conferences including 2013, GCIS 2013, SocPros 2014 & 2015, SWGIC 2017, and RTORS 2017. He is a member of National Academy of Engineering of Korea since 2017.

Dr. Jagdish Chand Bansal is Associate Professor at South Asian University New Delhi and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he has worked as Assistant Professor at ABV-Indian Institute of Information Technology and Management Gwalior and BITS Pilani. He is Series Editor of the book series Algorithms for Intelligent Systems

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Condizione: Nuovo
Collana: Advances in Intelligent Systems and Computing
Dimensioni: 235 x 155 mm Ø 1234 gr
Formato: Brossura
Illustration Notes:100 Illustrations, black and white
Pagine Arabe: 801
Pagine Romane: xv

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