This book contains best selected research papers presented at ICTCS 2023: Eighth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Jaipur, India during 8 – 9 December 2023. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in five volumes.
Table of Content
Chapter 1: Deep Convolutional Encoder-Decoder Models for Road Extraction from Aerial Imagery .- Chapter 2 :Methods, Approaches, and Techniques for Privacy-Preserving Data Mining .- Chapter 3 :Penetration Testing for the Cloud-Based Web Application .- Chapter 4 :Recurrent Neural Network based Energy Management system in Electric vehicle application with Hybrid energy sources .- Chapter 5 :Pre-Eclampsia Risk Prediction Using Machine Learning Algorithms .- Chapter 6 :Path Planning of Autonomous Vehicle For Real World Scenario using CARLA .- Chapter 7 : Analyzing the Impact of Carbon Emission in Training Neural Machine Translation Models: A Case Study .- Chapter 8 :WOMEN’S SAFETY WEARABLES DESIGN USING AN IOT-BASED FRAMEWORK TECHNOLOGY .- Chapter 9 : Improving Traffic Surveillance with Deep Learning Powered Vehicle Detection, Identification, and Recognition .- Chapter 10 : A Case Study in Requirements Analysis – Sakhee, Software Portfolio Manager .- Chapter 11 :Panorama: A Multi-Language Software Information Prospecting Facility .- Chapter 12 :UNVEILING DRIVER BEHAVIOR THROUGH CNNLSTM- BILSTM ANALYSIS OF OPERATIONAL TIME SERIES DATA .- Chapter 13 : A Systematic Review of Pomegranate Fruit Disease Detection and Classification Using Machine Learning and Deep Learning Techniques .- Chapter 14 :SURVEILLANCE WITH SMART SPHERICAL ROBOT .- Chapter 15 :Face recognition for attendance system in online classes .- Chapter 16 : An Electricity Theft Cyber-Attacks Detection System for Future Io T-based Smart Electric Meters in Renewable Distributed Generation .- Chapter 17: Exploring Research Trends through Topic Modeling of Scopus Data .- Chapter 18 : Microarray Data Classification and Gene selection using Convolutional Neural Network .- Chapter 19 :Physical Activity Detection and Tracking – Review .- Chapter 20 : Brain Inspired Traffic Incident Detection for Effective Communication .- Chapter 21 :Diminishing Unclear Consequences of Missing Values in Data Mining .- Chapter 22 :Social Media Networking Analytics and Growth Perspectives .- Chapter 23 : An Efficient Method for Evaluating the Two-terminal Reliability with A Parallel Algorithm on the Multicore Processor Architecture .- Chapter 24 :4-Port MIMO Dual Band Antenna System for 5G Sub-6 GHz and WLAN Communications .- Chapter 25 :A Secure Health Monitoring Model for Prediction of Heart Disease Detection using Machine Learning .- Chapter 26 :Io T Enabled Solar Powered Water Trash Collector with Conveyor Belt .- Chapter 27 :ECC-Based Hybrid Approach for Data Security for MANET .- Chapter 28 :5G RAN Anomaly Prediction using AI and ML .- Chapter 29 : An Intelligent Traffic Control System Incorporating Deep Learning and Computer Vision with Prioritized and Dynamic Timing .- Chapter 30 :Industrial Worker Safety Device with Proactive Gas Leak and Fire Protection System .- Chapter 31 : Exploring VANETs and their applications with Blockchain .- Chapter 32 :Exploring ICT as a Catalyst for Technological Adoption: Insights from Action Research .- Chapter 33 : ’TRICHOASSIST’ Trichogram Hair and Scalp Feature Extraction and Analysis using Image Processing .- Chapter 34 :Performance Analysis for Trichoscopy and Trichogram using Deep Learning and Image Processing- A Survey .- Chapter 35 :Conversation Graph Construction Approach of Cyberbully Detection using Bully Scores .- Chapter 36 :Artificial Intelligence based L&E-Refiner for Blind Learners .- Chapter 37 :Security and Journalism: A Systematic Review .- Chapter 38 :Perspective Transform Based Lane Detection for Lane Keep Assistance .- Chapter 39 :Classification of Pneumonia from chest X-Ray Image Using Convolutional Neural Network .- Chapter 40 :Enhancing Network Security with Machine Learning-Based IDSs and IPSs: An Evaluation Using UNSW-NB15 Dataset
About the author
Dr. Amit Joshi is currently the Director of Global Knowledge Research Foundation, also an Entrepreneur & Researcher who has completed his Masters and research in the areas of cloud computing and cryptography in medical imaging. Dr. Joshi has an experience of around 10 years in academic and industry in prestigious organizations. Dr. Joshi is an active member of ACM, IEEE, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA and many other professional societies. Currently, Dr. Joshi is the International Chair of Inter YIT at International Federation of Information Processing (IFIP, Austria), He has presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM. Dr. Joshi has also edited more than 40 books which are published by Springer, ACM and other reputed publishers. Dr. Joshi has also organized more than 50national and international conferences and programs in association with ACM, Springer, IEEE to name a few across different countries including India, UK, Europe, USA, Canada, Thailand, Egypt and many more.
Dr Mufti Mahmud received his Ph D degree in Information Engineering (specialized in neuroengineering) from the University of Padova – Italy in 2011. A recipient of the Marie-Curie postdoctoral fellowship, Dr Mahmud has served at various positions in the industry and academia in India, Bangladesh, Italy, Belgium, and the UK during the last 17 years. Dr Mahmud aims to leave behind a healthy, secure, and smart world to live in. As an expert of neuroengineering, computational intelligence and data science, his research income is about £4.0 million and he works to build predictive, secure and adaptive systems for personalised services to improve quality of life through advancement of healthcare access in low-resource settings. Dr Mahmud is a Senior Member of IEEE and ACM, and Professional Member of BCS, Dr Mahmud holds leadership roles at many ibternational technical committees, such as Chair of the Intelligent System Application Technical Committee of IEEE Computational Intelligence Society, Member of the IEEE CIS Task Force on Intelligence Systems for Health, the IEEE P2733 Standard on Intelligent systems design, with AI/ML, the IEEE R8 Humanitarian Activities Subcommittee, and Project Liaison Officer of the IEEE UK and Ireland Special Interest Group on Humanitarian Technology. Dr Mahmud serves as an Section Editor of the Cognitive Computation, Regional Editor of Brain Informatics, and Associate Editor of Frontiers in Neuroscience journals. He also serves at many technical, programme and organisation committees of high-rank conferences including local organising chair of IEEE WCCI2020; general chair of BI2020, BI2021, BI2022; chair of IEEE-CICARE symposium series; general chair of ICONIP2024; and founding chair of the AII conference series.
Dr. Roshan Ragel is a full professor in Computer Engineering at the University of Peradeniya, Sri Lanka. He is a skilled universitylecturer and researcher with a doctorate in computerscience and engineering and a passion for teaching, research and administration. His research interest is in the areas of fault-tolerant and dependable computing, accelerated and high-performance computing, wearable computing and synthesis of secure and reliable embedded processors. Prof. Ragel received his Ph D in Computer Science and Engineering from the University of New South Wales, Australia in 2007 and his BSc in Engineering from the University of Peradeniya, Sri Lanka in 2001. He was appointed a Senior Lecturer in Computer Engineering at the University of Peradeniya December 2007 and a full professor since October 2017. Prof. Ragel has co-authored about 150 peer-reviewed articles in topics including Micro- Architectural Support for Reliability and Security in Embedded Processors (So C), Internet of Things (Io T), Side-Channel Attacks and Countermeasures, Application Specific Processor Design, High-Performance Computing such as Hardware/Software Acceleration of Bioinformatics Algorithms, Wearable Computing, Format-Preserving Digitisation and OCR of Local Language Text, and Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHAs) in the Context of Mobile Applications. He has won several best paper awards in conference papers, the most prolific Sri Lankan author award from Elsevier Research in 2017 and the Presidential award for scientific publication in Sri Lanka in 2018. He was a visiting research scholar at the UNSW, Sydney a few times and UIUC, Illinois once. He is a Senior Member of the IEEE and the IEEE Computer Society.
Dr. S.Karthik is presently Professor & Dean in the Department of Computer Science & Engineering, SNS College of Technology, affiliated to Anna University- Chennai, Tamil Nadu, India. He received the M.E and Ph D degree from Anna University, Chennai. His research interests include network security, big data, cloud computing, web services and wireless systems. In particular, he is currently working in a research group developing new Internet security architectures and active defence systems against DDo S attacks. Dr. S.Karthik published more than 200 papers in refereed international journals and 125 papers in conferences and has been involved in many international conferences as Technical Chair and tutorial presenter. He is an active member of IEEE, ISTE, IAENG, IACSIT and Indian Computer Society.
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