ICT Systems and Sustainability

Proceedings of ICT4SD 2024, Volume 6
2025
ISBN: 978-981-97-9522-2
Verlag: Springer

Buch, Englisch, Band 1194, 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.

Tuba, Milan

Akashe, Shyam

Joshi, Amit

Fachgebiete

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

Inhaltsverzeichnis

Unraveling the Foundations: Exploring Blockchain Technology and its Security Challenges.- Revolutionizing Contract Execution: Exploring the Promise and Challenges of Smart Contracts on Blockchain Platforms.- Cognitive Methods for Solution to Multicollinearity and Feature Selection in Regression Analysis for Thyroid Disease.- Identifying Interictal activity amidst artifacts using Convolution Neural Network.- RoomX: Integrating Data-Driven Analytics and User-Friendly Interfaces for Optimized Meeting Room Booking.- Security and Challenges of Blockchain-based IoT Use Cases.- Challenges in Determining the Authenticity, Honesty, and Intentions of Opinions Expressed on Twitter and Sentiment Analysis.- Estimation of Risk Index for Parkingof Commercial Building.- Role of Mobile Commerce in Rural Entrepreneurship.- Machine Learning Model for Genetic Disorder Prediction.- Mitigating Cold Start Challenges in Serverless Computing: A Survey.- Analysis and Implementation of Linear Classifier Algorithms for Sentiment Analysis on Twitter Data.- SCAR – Speech Conversion & Assist Responses.- Enhancing the Average Capacity of 6G Networks by Utilizing NOMA and mMIMO with Spectrum Sharing Modes.- A Study on Smart Greenhouse Monitoring System Using Blynk IoT Application.- The use of Artificial Intelligence and Predictive Data Analytics Approaches and Techniques in AI Driven Modern Applications and Sectors.- Guarding Privacy in Federated Learning: Exploring Threat Landscapes and Countermeasures with Case Studies.- Combatting Nutritional Disparities in India.- Explainable AI Solutions for Emotion Understanding in Autism Spectrum Disorder.- SkillSet Sherpa: Career Counselling with Large Language Models.- Spectral Analysis of Seashore Minerals by Mineralogical Mapping.- Artificial Intelligence and Cybersecurity: Challenges, Opportunities, and Defensive Techniques.- Operational Availability Optimization of Turbo Generators using Nature-inspired Algorithms.- Designing a Power-Efficient Pseudo Random Pattern Generator for Low Power Built-In Self-Test.- Enhancing Named Entity Recognition (NER) in Biomedical Texts: BIOBERT on CORD19 Dataset.- Sentiment analysis on Indian regional languages.- Streamlining Classroom Operations: Prototyping an RTOS Based Smart Time Table Scheduling and Attendance Monitoring System.- EEG Signals Based Depression Detection and Analysis.- An AI Companion for Blind and Visually Impaired People for Sustainable Development and Creating a Supportive Ecosystem in Society.- A Systematic review of Free-Living Human Activity Recognition(FL-HAR)methods for health research.- Global Shoe Waste: The Environmental Impact of Footwear.

Über Autor(innen)

Milan Tuba, Professor of Computer Science, Mathematics and Electrical Engineering, Head of the Artificial Intelligence Project at Singidunum University and Vice-Rector of Research at Sinergia University, is included in both versions of the Stanford University list of 2% of the most influential scientists in the world in all disciplines, one for contribution during the entire career and other for contribution in the previous year (for years 2020, 2021, 2022 and 2023). Prof. Tuba is the highest ranked researcher in Serbia for the Computer Science field at AD Scientific Index - World Scientists Rankings. He was Vice Rector for International Relations at Singidunum University, Head of the Department for Mathematical Sciences at State University of Novi Pazar and Dean of the Graduate School of Computer Science at John Naisbitt University. Prof. Tuba is the author or coauthor of around 300 scientific papers (cited more than 7,600 times, h-index 52) and editor, coeditor or member of the editorial board or scientific committee of number of scientific journals, Springer books, congresses and international conferences. He was invited and delivered around 100 keynote and inaugural lectures at international conferences. His research interests include Artificial Intelligence, Deep Learning, Neural Networks, Nature-inspired Optimization Algorithms, Image Processing, Computer Networks. Senior Member IEEE, Senior Member ACM, AMS, SIAM, IFNA, Executive Board of IASEI, Advisory Committee of SCRS.

He received B. S. in Mathematics, M. S. in Mathematics, M. S. in Computer Science, M. Ph. in Computer Science, Ph.D. in Computer Science from University of Belgrade and New York University. From 1983 to 1994 he was in the U.S.A. at Vanderbilt University in Nashville and Courant Institute of Mathematical Sciences, New York University and later as Assistant Professor of Electrical Engineering at Cooper Union School of Engineering, New York. During that time, he was the founder and director of Microprocessor Lab and VLSI Lab, lead