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Explainable AI (XAI) for Sustainable Development Trends and Applications

Langue : Anglais

Coordonnateurs : D Lakshmi, Tiwari Ravi Shekhar, Dhanaraj Rajesh Kumar, Kadry Seifedine

Couverture de l’ouvrage Explainable AI (XAI) for Sustainable Development

This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain.

? Focuses on virtual machine placement and migration techniques for cloud data centres

? Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services

? Includes application of placement techniques for quality of service, performance, and reliability improvement

? Explores data centre resource management, load balancing and orchestration using machine learning techniques

? Analyses dynamic and scalable resource scheduling with a focus on resource management

The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.

1. Sustainable AI: Environmental Implications, Challenges, and Opportunities 2. Artificial Intelligence of Things (AIOT) in Agriculture 4.0 3. EXAI for Computational Sustainability – Models, Services in Smart City and Challenges 4. Impact of Artificial Intelligence and Emotional Intelligence in Autonomous Operation and MSME Entrepreneurs' Performance in the Waste Management Industry 5. Artificial Intelligence Governance and Comprehensibility in Renewable 6. Exploring EEG Characteristics and Machine Learning Classifiers for Accurate Detection of Eye-Blink Mistakes 7. Machine Learning Advancements in Polymer Material Creation: Successful Prediction of Glass Transition Temperature 8. Smart Greenhouse Management System Using AIoT for Sustainable Agriculture 9. Cardiac Images using CardioSegNet: A Deep Learning Approach 10. Artificial Intelligence-Based Techniques for Early Detection of Chiari Malformation 11. AI-Driven Restoration: Enhancing Biodiversity Conservation and Ecosystem Resilience 12. Improvised DenseNet and Faster RCNN for Assisting Agriculture 4.0 13. Libraries for Explainable Artificial Intelligence (EXAI): Python 14. Trends and Advancements of Artificial Intelligence & Explainable Artificial Intelligence in Drug Discovery 15. An In-Depth Analysis of the Potential of AIoT to Improve Agricultural Productivity and Long-Term Sustainability 16. Text-Report Generation from Chest X-Rays using Image Captioning17. The Role of AIoT in Reshaping the Farming Sector 18. Unleashing the Power of XAI (Explainable Artificial Intelligence): Empowering Decision-making and overcoming challenges in Smart Healthcare Automation

Dr. Lakshmi D is presently designated as a Senior Associate Professor in the School of Computing Science and Engineering (SCSE) and Assistant Director, at the Centre for Innovation in Teaching & Learning (CITL) at VIT Bhopal. She has 26 years of teaching experience. She has addressed innumerable guest lectures, acted as a session chair, and was invited as a keynote speaker at several international conferences. She has conducted FDPs that cover approximately ~1,00,000 plus faculty members including JNTU, TEQIP, SERB, SWAYAM, DST, AICTE, MHRD, ATAL, ISTE, Madhya Pradesh Government-sponsored, and self-financed workshops across India as well as Misami University, Philipines on various topics. She has 20 international conference presentations, and 32 international journal papers inclusive of SCOPUS & SCI (cumulative impact factor 45). A total of 20 SCOPUS-indexed book chapters. A total of 24 patents are in various states and 18 patents have been granted at both national and international levels. She was appointed as an external examiner for several Ph.D candidates at reputed universities. She is also guiding research scholars. She has won two Best Paper awards at international conferences, one at the IEEE conference and another one at EAMMIS 2021 (First European, Asian, Middle Eastern North African Conference on Management & Information Systems). She received two best teacher awards in the year 2022 on the eve of Teacher's Day. She published a book on “Theory of Computation“ in 2003, “Leading Education in the Age of Disruption” in 2021, and "Smart Cities: Disruptive Technologies Driving the Force", in 2023. She acted as a SPOC to both KAVACH and the Smart India Hackathon in the last three editions. She has created 15 hours of the high-quality online course "Python Essentials" at VITyarthi Online Learning Platform. She has 5 SCOPUS Indexed book edits with three CRS Press, Taylor, and Francis, three IGI Global, and two IEEE Rivers.

Mr. Ravi