ICT Analysis and Applications

Proceedings of ICT4SD 2024, Volume 4
2024
ISBN: 978-981-97-8604-6
Verlag: Springer

Buch, Englisch, Band 1162, 500 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 8th International Conference on ICT for Sustainable Development (ICT4SD 2024), held in Goa, India, on 8–9 August 2024. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.

Autoren/Hrsg.

Fong, Simon

Dey, Nilanjan

Joshi, Amit

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

A Tourism Potential of Alleppey District: A Study on Vembanad Backwaters.- At the Heartbeat of the Smart City.- One-Day International Cricket Data Analysis Using Microsoft Power BI.- Unveiling the Potential of 6G Technology: A Comprehensive Analysis and Future Prospects.- Driving Towards Tomorrow: A Comparative Study of Electronic Toll Collection and Satellite-Based Tolling in India's Vision on Vikasit Bharat 2047.- Effective methods of waste management practices in green hotels towards green brand image: An Empirical Study.- Insights on Performance Improvement for Cloud Com-puting Applications.- Automatic Subjective Assessment using Natural Language Processing and Machine Learning.- Enhancing Emotion Classification through CNN Models for Speech Analysis.- The Random Forest that Found the Fibroids: Machine Learning Algorithms for Uterine Fibroid Detection.- A Detailed Exploration of the Security Issues in Educational Applications.- A Comparative Analysis of Camera-Radar Fusion Models and Camera-Only Models in Perception Systems.- Enhancing Phishing Website Detection through Multi-Classifier Integration and Comparative Analysis of Data Mining Techniques.- DeepVerify: Ensuring Authenticity through Deepfake and Liveness Analysis.- Generative AI for Predicting Employee Engagement in HR Analytics: A Bibliometric Analysis.- Consumer awareness and willingness towards Smart Home Automation.- Unveiling Consistency and Disparities: Exploring the Dynamics Between Customer Reviews and Ratings.- Makara App: A Case Study in Digital Innovation for Enhanced Agricultural Productivity and Sustainability.- Developing an Energy-Efficient Reversible Multiplier Architecture Utilizing TSG and Fredkin Gates.- Beyond DNS poisoning: HTTP/3 request forgery through packet data tampering.- Batch Size Optimization in CNN Models for Chest X-ray Image Analysis: An Analytical Investigation.- Enhanced Symmetric Cryptography with Multi-Factor Authentication.- Cloud Adoption and Optimization for Business Growth.- Towards Precision Agriculture: Machine Learning-Based Crop Yield Prediction in Maharashtra.- Access control scheme for Medical Cyber-Physical Systems using Quantum Cryptography.- Text-Driven Image Synthesis: Optimizing Prompts with ChatGPT in DF-GAN Framework.- Green Entrepreneurship and Sustainable Development in South India Linking to SDG 9.- Knowledge Graph Creation Using Syntax and Semantic Model.- Enhancing Spam Email Classification through Ensemble Learning, SMOTE Oversampling, and Hyperparameter Tuning.- Securing Data Beyond Encryption: A Comprehensive Re-view of Steganography Techniques.- Navigating the Future: Indoor Navigation using Augmented Reality.- Navigating the Skies: A Journey through Price Prediction Models.- Role of Chatbots and Virtual Assistants in Customer Service for Life Insurance Companies in India.- Trajectory Prediction of Multi-Traffic Agents.- Wireless Capsule Endoscopy Images Classification Using MobileNet and Colour Histograms.- Multi-modal image-text fusion for respiratory disease classification.- Vehicle License Plate Detection Based on Look Only Once and Optical Character Recognition Techniques.- Monitoring and Alerting Model for coal mines using IOT.- Priority-Based Resource Allocation in Narrowband IoT Networks.

Über Autor(innen)

Simon Fong graduated from La Trobe University, Australia, with a 1st Class Honours BEng. Computer Systems degree and a PhD. Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau. Prior to his academic career, Simon took up various IT posts in Melbourne, Hong Kong and Singapore. Dr. Fong has published over 396 international conference and journal papers, mostly in the areas of Data-mining and metaheuristics. He is also one of the founding members of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology.

Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research(SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He was an editorial board member of Applied Soft Computing, Elsevier. He is having 35 authored books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Fellow of IETE and Senior member of IEEE.

Amit Joshi is currently the Director of Global Knowledge Research Foundation, also an entrepreneur & researcher who has completed his graduation (B.Tech ) in Information Technology and M.Tech in Computer Science and Engineering and completed his research in the areas of Cloud