Intelligent It Solutions for Sustainability in Industry 5.0 Paradigm

Intelligent It Solutions for Sustainability in Industry 5.0 Paradigm
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Select Proceedings of Iceil 2023
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Artikel-Nr:
9789819716814
Veröffentl:
2024
Erscheinungsdatum:
06.07.2024
Seiten:
522
Autor:
Balvinder Shukla
Format:
235x155x35 mm
Sprache:
Englisch
Beschreibung:

Dr. Balvinder Shukla is a professor of entrepreneurship, leadership & Information Technology and is currently the Vice Chancellor of Amity University Uttar Pradesh. She has an M.Tech from IIT Kharagpur and a Ph.D. from Queen's University, UK. She is the co-author of several books including 'The Role of Business Incubators in the Economic Growth of India' and 'Human Resource Management'. She is a member of the East Asia Regional Committee of the Association of Commonwealth Universities. Her keen areas of interest lie in promoting Entrepreneurship, Research, Internationalization, CSR, and Industry-Academia Collaborations. She has conducted several executive programs and consulting assignments for Industry and mentored many budding Entrepreneurs, Women Entrepreneurs, and Family Business Owners in various clusters/sectors. 

Dr. B. K. Murthy is currently working as CEO of the Innovation & Technology Foundation, IIT Bhilai, Chhattisgarh. Previously he has been Scientist G andGroup Coordinator (R&D in IT) in the Ministry of Electronics and IT (MeitY), Government of India. He is responsible for the promotion of R&D in the area of IT. He has been conferred the prestigious VASVIK Industrial Research Award for the year 2020 in the category of Information and Communication Technology. His research interests include Artificial Intelligence, Software Defined Networking, Cloud Computing, Quantum Computing, and Blockchain Technologies. He was awarded a Ph.D. degree by IIT Delhi. He has published and presented more than 80 research papers in various journals and conferences and is a regular speaker at international forums. He has served as a member of the Board of Governors at Indira Gandhi Technological University for Women, Delhi, and IIIT at Allahabad, Gwalior, Kurnool, and Kanchipuram. He also served as Guest faculty at IIT Roorkee, IIIT Gwalior, and IP University. 

Dr. Nitasha Hasteer is the Head of the Information Technology Department and Dy. Director (Academics) at Amity School of Engineering & Technology, Amity University Uttar Pradesh. She has 22 Years of teaching, research, and administrative experience in academics and industry and has a Ph.D. in Computer Science & Engineering. Her areas of interest include Machine Learning, Cloud Computing, Crowdsourced Software Development, Software Project Management, and Process Modeling through Multi-criteria Decision-Making Techniques. She has published more than 60 papers in various journals and international conferences in these areas and has guided many postgraduate students in their dissertations. She has been on the editorial board of many international conferences and obtained funding from government agencies such as the Science and Engineering Research Board, Department of Science & Technology (DST), Defence Research & Development Organization (DRDO), Indian National Science Academy (INSA) and Council of Scientific & Industrial Research (CSIR) for organizing conferencesin the area of Information Technology. 

Prof. Harpreet Kaur is the faculty in Quantitative Methods and Operations Management at the Indian Institute of Management, Amritsar, India. She has completed her Ph.D. from the Indian Institute of Technology Delhi. Previously, she has worked with the Birla Institute of Management Technology. Her research interests lie in Resilient supply chains, Supply chain security, Sustainable business operations, optimization, mathematical modeling, disaster relief operations, and procurement management. 

Dr. Jean-Paul Van Belle is a Professor in the Department of Information Systems, University of Cape Town, South Africa, and has been the Director of the Centre for IT and National Development in Africa (CITANDA). His particular research focus and passion is the adoption and appropriation of emerging ICTs in a development context i.e. Development Informatics, ICT4D, and Mobile for Development (M4D). He is the Prime Investigator of the

This volume comprises the select proceedings of the 5th International Conference on Entrepreneurship, Innovation, and Leadership (ICEIL 2023). The content focuses on intelligent IT Solutions for sustainability in the Industry 5.0 paradigm with themes highlighting smart grids, intelligent power systems, digital health and automation, IoT and applications in healthcare, agricultural automation, precision agriculture, BI innovation, AI for value creation, security awareness and education, biometric technologies and applications, human-centric solutions, ICT development in higher education, gamification in the classroom, etc. This volume will be of immense interest to those in academia and industry.

Comparative Analysis of Financial Datasets Predictive Modelling Using Feature Extraction Methods.- Extracting Relevant Features for Software Transplantation.- The Role of Generative Artificial Intelligence (GAI) in Education: A Detailed Review for Enhanced Learning Experiences.- A Comparative Analysis and Statistical Inference of Diabetes cases.- A study on Indian Digital Banking Online Customer Experience.- Cancer Detection Techniques: An Overview of Traditional and AI-Based Methods and Their Comparative Analysis.- A novel Classification Scheme for Credit Card Fraud Detection Using Data Mining.- Measuring Impact of Generative AI in Software Development and Innovation.- Tag Tracker: A Smart Asset Tracking Solution.- Implementation of File Tracking Machine to Assess Employee Performance using Web Services System.- Modified modelling of RoF for advanced wireless network for long haul communication.- SafeMeds: Electronic Health Records using Blockchain.- Predictive Analysis of Oil and Gasusing Well Log Data.- Intelligent Irrigation Systems in Agriculture using Fuzzy Logic Techniques.- Parallel Corpus Development using Machine Translation.- Employing Machine Learning Models in Prediction of Harmful gases from Agri-waste.- Participation of cybersecurity practitioners in a cybersecurity CoP in Africa.- Depression Detection using Linear Regression Model.- Impact of Gamification on Student Learning: An Empirical Evidence.- A Review on Diabetes Prediction Using Machine Learning Techniques.

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