Overview

The Proceeding includes the research contribution from the International Conference on Next-Gen Technologies in Computational Intelligence (NGTCA 2023) held on March 24th 2023 at Vels Institute of Science, Technology and Advanced Studies. NGCTA 2023 is the flagship conference of the Computer Society of India (Region 7). Computer Society of India (CSI) is the largest association of IT professionals in India. CSI is a non-profit organization established in 1965 and its members are committed to the advancement of theory and practice of Computer Engineering and Technology Systems. The Mission of CSI is to facilitate research, knowledge sharing, learning, and career enhancement for all categories of IT professionals, while simultaneously inspiring and nurturing new entrants into the industry and helping them to integrate into the IT community. At present, CSI has 76chapters across India, over 550 student branches with 1,00,000 plus members. It serves its members through technical events, seminars, workshops, conferences, publications & journals, research projects, competitions, special interest groups, awards & recognitions, etc. Various CSI chapters conduct Research Convention every year.

Full Product Details

Author:   R. Anandan ,  M. Senthil Kumar ,  Biji C. L. ,  Vicente García Díaz
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
ISBN:  

9781032553900

ISBN 10:   1032553901
Pages:   564
Publication Date:   07 June 2024
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

1. Blockchain-Based Identity Management System in the Digital Industry 2. An Improved Neural Network Classifier for Melanoma Skin Lesion Detection 3. Trust Aware Energy Efficient Model Using Evolutionary Computing in WSN 4. Introspection of CNN Primitive Features for Indian Sign Language Based Hand Gesture Recognition of Daily Used Words Using Machine Learning 5. Implementation of Quantum Image Processing Techniques Using the Chan-Vese Segmentation Algorithm to Convert Bits to Qubits to Enhance The Storage Capacity of the Pixels to Achieve Optimal Output to Identify the Paddy Leaf Diseases 6. Prediction of Bitcoin-Heist Ransomware Attack Using Machine Learning 7. A Review of Classification, Detection, and Prognosis of Coronary Artery Disease 8. Optimization of Packet Length using Exclusive SCCO Algorithm In WSN And IoT Based Networks 9. Novel Triphasic Architecture to Ascertain Malicious Exam-Takers 10. SDKL Hybrid ML Model to Predict Heart Disease Detection 11. Optimization of Energy Aware Clustering For Wireless Sensor Network 12. Next-Gen Technologies in Computational Intelligence [NGTC-2023] PID 62 13. Efficient PHOA Based Routing Network Protocol for IoT-Sem System 14. Enhancement of Security and Performance of Multimedia Data Transmission Over Fog 15. Improving the Energy Efficiency Based on Cooperative Routing Using Genetic Algorithm (GA) for Dynamic Clusters in Underwater Wireless Sensor Networks 16. Chest X–Ray Based Classification of Lungs Pathology Using VGG-16 Features and Double Ensemble Classifier 17. Machine Learning Algorithms To Predict The Brain Stroke 18. An Efficient Student Relationship Automation Using Multimodal Temporal Convolution Networks and Ranked Resolving Computations 19. Data Privacy Preservation with Optimization Technique for Effective Multi-Cloud Storage and Security 20. A Framework for Real-Time Prediction of Inappropriate Content 21. Statistical and Algorithmic Color Normalization and Stain Separation Methods: A Brief Study 22. Classification of Malware Infected API Call Sequences With Ensemble Learning 23. DDoS Identification and Defense Procedure Using Deep Learning Approaches For SDN 24. Comprehensive Autonomous Vehicle Optimal Routing With Dynamic Heuristics 25. Fake Review Detection in Movie Recommendation System Using Hybrid Method 26. Leprosy Screening Through Image Processing Methods 27. Real-Time V2V Communication for Collision Detection in VANETs Using ESP Mesh Protocol: An IoT-Based Implementation for the Internet of Vehicles 28. Cyber Security Holes of JSON Web Token 29. Blockchain for Philanthropy 30. Predictive Analysis Using Big Data in the Treatment of Pulmonary Diseases 31.An Improved and Secured Elliptic Curve Cryptography Using Matrix Bitwise Complement for Data Security in Cloud 31.An Improved and Secured Elliptic Curve Cryptography Using Matrix Bitwise Complement for Data Security in Cloud 32.Real-Time Over-The-Air-Programming (OTAP) for Wireless Sensor Network: Implementation and Analysis Using SENSEnuts IoT Platform 33.Mobile-Based Cloud Detection Model for Skin Cancer Using Machine Learning 34.Using the Greedy Algorithm to Minimize Bandwidth in P2P Networks Over Video Live Streaming 35.Human Brain Tumors and the Role of the Neural Network 36.Best Fit Topic Model Coherence Improvement for Subectivity Analysis of Gestational Diabetes Mellitus 37. A Decentralized Application-DAPP for Remote Voting System Based on Blockchain Technology 38.Diagnosis of Mild Cognitive Impairment Using Multimodal Imaging With Machine Learning Techniques 39.Surface Defect Detection for Wet Blue Leather Using Deep Learning Approach 40.Attack Detection for Stock Trading Application Using Unsupervised Machine Learning 41.Manipulation of 3D Objects in Handheld Augmented Reality for Campus Virtual Visit 42.Locality Recommendation System Using Exploratory Data Analysis and Affinity Propagation 43.Real-Time Pothole Detection Using Deep Learning 44. Contact Less Virtually Controlling System Using Computer Vision Techniques 45.Underwater Benthos Detection in Marine Benthic Zone Using Single Shot MultiBox Detector 46.Digital Human Creator Using Facial Expression and Voice 47.Enhancing the Security of Electronic Health Records Using Consortium Blockchai 48. Deep Learning Model for Segmentation of Brain Tumor in MRI Images 49. Embedding Intelligence on Edge Computing for the Classification of IoT Data Using Machine Learning with Deep Autoencoder 50. Teens, Screens, and Mental Health- A Study on Digital Wellbeing 51. AI-Enabled Human and Machine Activity Monitoring in IIOT Systems 52. Application Development for Solving the Farmer Yield Problem Using Cloud Computing 53. AI Enabled E-Commerce Studio Website 54. Correlational and Sentimental Analysis Using LSTM to Forecast Stock Price 55. A Novel Authentication System Based on CNN and IoT 56. Cryptocurrency Price Prediction Using LSTM and RNN Techniques 57. A Study on Cybernated Watermarking Approach on Image With Cryptographic Encryption 58. A Survey on Implementation and Development of AES Cryptography Algorithm In Various Fields 59. A Survey on Alerting Using Honeyword System 60. A Study on IoT Based Road Safety and Traffic Management 61. Image-Based Steganography for Android: Concealing Secrets in Pixels 62. Various Methods of Injection Attacks 63. Password Protection and Recovery 64. Securing Wireless Communication in Cyber-Physical Systems and IoT 65. Prevention and Detection of Arp Spoofing – A Survey 66. A Survey on Enhancing Password Guessing and Dictionary List Creation Techniques Using OSINT 67.Survey on Multi-Factor Authentication in Cloud Computing 68.Survey on Improvement in Efficiency of Steganography 69.A Hybrid Model for Guided Filtering-Based Edge Preservation of Fused Multi-modal Medical Images 70.State of Art Survey on Memory Forensic Acquisition & Techniques 71.Product Review System using CNN & MERN Stack 72.Invading Into Android Using Metasploit 73.A Review of Privacy Protection Data Utility Mining Using Perturbation 74.Plant Disease Detection Using Stochastic Gradient Classifier With RBNN 75.Autonomous Assistance for Alzheimer’s Patients 76.Developing an Internet of Things based soil moisture prediction 77.Mitigation of Threats in Cloud Using Ensemble Hybrid Machine Learning 78.Detection of Insects, Birds, and Wild Animals in Farming Land Using Regional Convolutional Neural Network 79.A Trifold Authentication Using Elliptical Cryptography in Cloud Computing K. Komathi and D. Kavitha 80.Binary Classification of Medical Chest X-Ray Using Gaussian Naive Bayes in Machine Learning

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Author Information

Dr R. Anandan completed his post-doctoral degree in CSE from North America and currently working as Professor and Head, Department of Computer Science and Engineering, School of Engineering, VELS Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamilnadu, India. He has vast experience in corporate and all levels of academic in Computer Science and Engineering his knowledge of interests not limited to Artificial Intelligence, Soft Computing, Machine Learning, High Performance Computing, Big Data Analytics, Image Processing, 3d Printing and Knowledge Engineering. He has published more than 140 Research Papers in various international journals such in SCOPUS, SCI and referred journals. He has presented 92 papers at various International Conferences. He received many national and international awards he authored and edited 27 books and published 30 chapters in leading publications. He filed 18 patents of his research work and four patent and three copyrights is granted. He is also an associated as Editor in Wiley, World Scientific Press, Springer and Nova publishers. Dr Senthil Kumar Murugesan, Associate Professor in SRM Valliammai Engineering College, completed his PhD from anna university. Currently, he is working as an Associate Professor in Department of Cyber Security & CSE, SRM Valliammai Engineering College, Kattankulathur. He is having over 16 years of experience in Academia teaching Computer Science & IT related subjects in various colleges in Bangalore, Madurai and Chennai. He had published 54 papers in International Journals. He has presented 19 papers at various national and international conferences. He is also an awardee of two patents. He had published 15 articles in CSI Communications journal. He is a reviewer in many International Journals including Global Research and Development Journal, International Journal of Computer Science Engineering and Information Technology Research and International Journal of Applied Engineering and Technology. He delivered technical talks as a resource person in many colleges. He has received many awards from CSI India. Dr Biji C.L., Associate Professor in Vellore Institute of Technology, a creative and motivating teacher over a decade of experience in teaching and research. She completed her PhD in the area of Computational Biology from University of Kerala.Her Areas of research involves Data Analytics, Machine Learning, deep learning, and bioinformatics. She has published several papers which includes IEEE Transactions, Nature Scientific Reports and BMC Bioinformatics. She has served as the Editor for the proceedings of International symposium on Bio-informaticaindica 2022, Corona>A Compilation of Covid-19 Articles, Published by the Department of Computational Biology and Bioinformatics, ISBN: 978-93-5493-685-2, November 2021. She also served as editor and associate editor for INSIDE/symphony newsletter released by University of Kerala and CSI Trivandrum Chapter. Vicente García-Díaz received the Ph.D. degree in computer science. He is currently an Associate Professor with the Department of Computer Science, University of Oviedo, Spain. He is also a Software Engineer. He has a Master in occupational risk prevention and the qualification of University Expert in blockchain application development. He has supervised more than 100 academic projects. He has published more than 100 research papers in journals, conferences, and books. His teaching interests are primarily in the design and analysis of algorithms and the design of domain-specific languages. His current research interests include decision support systems, health informatics, and e-learning. He ispart of the editorial and advisory board of several indexed journals and conferences. He has been an editor of several special issues in books and indexed journals. Dr Souvik Pal is an Associate Professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. Prior to that, he was associated with Global Institute of Management and Technology; Brainware University, Kolkata; JIS College of Engineering, Nadia; Elitte College of Engineering, Kolkata; and Nalanda Institute of Technology, Bhubaneswar, India. Dr. Pal received his MTech, and PhD degrees in the field of Computer Science and Engineering from KIIT University, Bhubaneswar, India. He has more than a decade of academic experience. He is author or co-editor of more than 15 books from reputed publishers, including Elsevier, Springer, CRC Press, and Wiley, and he holds three patents. He is serving as a Series Editor for “Advances in Learning Analytics for Intelligent Cloud-IoT Systems”, published by Scrivener-Wiley Publishing (Scopus-indexed); “Internet of Things: Data-Centric Intelligent Computing, Informatics, and Communication”, published CRC Press, Taylor & Francis Group, USA; “Conference Proceedings Series on Intelligent Systems, Data Engineering, and Optimization”, published CRC Press, Taylor & Francis Group, USA; Dr. Pal has published a number of research papers in Scopus / SCI/SCIE Journals and conferences. He is the organizing chair of RICE 2019, Vietnam; RICE 2020 Vietnam; ICICIT 2019, Tunisia. He has been invited as a keynote speaker at ICICCT 2019, Turkey, and ICTIDS 2019, 2021 Malaysia. He has also served as Proceedings Editor of ICICCT 2019, 2020; ICMMCS 2020, 2021; ICWSNUCA 2021, India. His professional activities include roles as Associate Editor, Guest Editor, and Editorial Board member for more than 100+ international journals and conferences of high repute and impact. His research area includes cloud computing, big data, internet of things, wireless sensor network, and data analytics. He is a member of many professional organizations, including MIEEE; MCSI; MCSTA/ACM, USA; MIAENG, Hong Kong; MIRED, USA; MACEEE, New Delhi; MIACSIT, Singapore; and MAASCIT, USA.

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