Overview

This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented in the International Conference on Computer Vision and Robotics (CVR 2023), organized by BBD University Lucknow, India, during 24–25 February 2023. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers.

Full Product Details

Author:   Praveen Kumar Shukla ,  Himanshu Mittal ,  Andries Engelbrecht
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2023
Weight:   1.152kg
ISBN:  

9789819945764

ISBN 10:   9819945763
Pages:   578
Publication Date:   28 September 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Rebalancing Algorithm for Bike Sharing System Networks with Uncertain Inventories and Stations with Finite Capacity.- Sensor-Based Personal Activity Recognition Using Mixed 5 -Layer -CNN-LSTM and Hyperparameter Tunning.- Distance and Similarity measures of Hesitant Bi-fuzzy set and its applications in pattern recognition problem.- Impact of Machine Learning in Education.- Lung Disease Classification Using CNN.- Machine learning approach for Traffic sign detection and indication using open CV with Python.- Determining the Fruit Ripening stage using Convolution Neural Networks.- A comprehensive review and discussion on Corn Leaf disease detection using Artificial Intelligence.- A Case Study of Selecting Suitable Agribots in Agri-Farming.- A Survey on Novel Hybrid Metaheuristic Algorithms for Image Segmentation.- A ranking method for the linguistic q-rung orthopair fuzzy set based on possibility degree measure.- Impact of DFIM Controller Parameters on SSR Characteristics of Wind Energy Conversion System with Series Capacitor Compensation.- Structured Image Detection Using Deep Learning (SIDUD).- Enhanced Heart Disease Predicion using Hybrid Random Forest with Linear Model.- Rice Crop Disease Detection Using Machine Learning Algorithms.- Machine Learning Algorithms for Polycystic Ovary Syndrome/Polycystic Ovarian Syndrome Detection: A Comparison.- Synthesizing Music By Artist's Style Transfer using VQ-VAE and Diffusion Model.- Segmentation and Classification for Plant Leaf Identification Using Deep Learning Model.- Analyzing Machine Learning Algorithm for Breast Cancer Diagnosis.- IoT Application on Home Automation with Smart Meter.- Personal Area Network (PAN) Smart Guide for the Blind (PSGB).- Brain MRI Classification:  A Systematic Review.- A Step Towards Smart Farming: Unified Role of AI and IoT. 

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Author Information

Prof. Praveen Kumar Shukla is presently working as a Professor and Head in the department of Computer Science & Engineering, Babu Banarasi Das University, Lucknow. He is Ph. D. in Computer Science & Engineering from Dr. A P J Abdul Kalam Technical University, Lucknow. He is B. Tech in Information Technology and M. Tech. in Computer Science & Engineering. His research area includes Fuzzy Systems (Interval Type-2 Fuzzy Systems and Type-2 Fuzzy Systems), Evolutionary Algorithms (Genetic Algorithms), Genetic Fuzzy Systems, Multi-Objective Optimization using Evolutionary Algorithms, Big Data Analytics and Internet of Things. He has published many Papers in National Conferences, International Conferences and International Journals. He has also published a book “Introduction to Information Security and Cyber Laws” in 2014 with Dreamtech Publishers and published a patent on “Social Media based Framework for Community Moblisation during and post Pandemic” in 2021.He completed one Research Project on “Particle Swarm Optimization Based Electric Load Forecasting” sponsored by Dr. APJ Abdul Kalam Technical University under TEQIP-III scheme. He is the member of IEEE (Computational Intelligence Society), USA, International Association of Computer Science and Information Technology (IACSIT), Singapore, International Association of Engineers (IAENG), Hong Kong, Society of Digital Information and Wireless Communications (SDIWC), Institutions of Engineers, India and Soft Computing Research Society (SCRS), India. Dr. Himanshu Mittal is an Assistant Professor in the Department of Artificial Intelligence and Data Sciences, Indira Gandhi Delhi Technical University for Women, India. Prior to this, he was working as an Assistant Professor in the Computer Science Department of Jaypee Institute of Information Technology, India. He received his Ph.D. in the field of computer vision under the supervision of Dr. Mukesh Saraswat. The keen research areas of Dr. Mittal are image analysis, machine learning, and evolutionary algorithms. He has an excellent academic record as well as a research background with papers in reputed journals including IEEE Transactions. Also, he has been the co-principal investigator of the research project funded by the Science and Engineering Research Board, Department of Science and Technology, India. Dr. Mittal is also a reviewer of many International Journals and Conferences. Prof. Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artificial Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.

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