ICT Systems and Sustainability (eBook, PDF)

Proceedings of ICT4SD 2024, Volume 6
Redaktion: Tuba, Milan; Joshi, Amit; Akashe, Shyam

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 489
• Erscheinungstermin: 26. März 2025
• Englisch
• ISBN-13: 9789819795239
• Artikelnr.: 73735801

Autorenporträt

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, leader of the NSF scientific projects and theses supervisor. He was the mentor of dozens of doctoral and master's dissertations at the Faculty of Mathematics University of Belgrade, Singidunum University, University of Sarajevo, State University of Novi Pazar, John Nesbitt University and University of East Sarajevo.  Prof. Tuba is a member of the National Agency for Accreditation of Universities of the Republic of Serbia. Shyam Akashe is Professor at ITM University, Gwalior, Madhya Pradesh, India. He completed his Ph.D. at Thapar University, Punjab, and his M.Tech. in Electronics and Communication Engineering at the Institute of Technology and Management, Gwalior. He has authored 190 publications, including more than 50 papers in SCI-indexed journals. His main research focus is low-power system on chip (SoC) applications in which static random access memories (SRAMs) are omnipresent. He has authored two books entitled Moore's Law Alive: Gate-All-Around (GAA) Next Generation Transistor published by LAMBERT Academic Publishing, Germany and Low Power High Speed CMOS Multiplexer Design published by Nova Science Publishers, Inc., New York, USA. He has also published over 120 papers in leading national and international refereed journals of repute. Dr. Akashe has participated in numerous national and international conferences and presented over 100 papers. 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 Computing and Cryptography in Medical imaging with a focus on analysis of the current Government Strategies and World forums needs in di¿erent sectors on security purposes. He has an experience of around 12 years in academic and industry in prestigious organizations. He is an active member of ACM, IEEE, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA and many other professional societies. Currently he is a Chairman of Computer Society of India (CSI) Udaipur Chapter and Secretary for Association of Computing Machinery (ACM) Udaipur Professional Chapter. Further currently he is also the International Chair of InterYIT 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. He has also edited more than 20 books which are published by Springer, ACM and other reputed publishers. He has also organized more than 40 National and International Conferences and Workshops through ACM, Springer, IEEE across 5 countries including India, UK, Thailand, Europe.  Apart from this academic involvement he is also associated with the Business and Industry Community across the globe. He is currently the Director of Emanant TechMedia (P) Limited which focuses on ICT and web-based services. With Global Knowledge Research Foundation his major work area is focussed on building & making e¿ective linkages among bureaucrats, industry associations, Academic Leaders and regulatory authorities for e¿ective connectivity for taking up common issues related to research in di¿erent sectors and has organized more than 20 Industry forum Events and recognised and felicitated Awards Ceremonies through his organizations in last 5 years. Liaisoning / communications with State as well as Central establishments along with corporate and Academics to take Industry and Government Sector together. He is majorly focusing on Academic Tie-ups for Medical, Engineering and management sectors, for the same he is representing the organization in many delegations to countries including USA, UK, Canada, Israel and visited more than 15 countries. He always looks forward and strives for Networking in various sectors with a focus on Education and Industry Sector.

Inhaltsangabe

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.