Advanced AI and Data Science Applications (eBook, ePUB)

Redaktion: Sivabalaselvamani, D.; Singh, Ranjit Singh Sarban; Revathy, G.

• Format: ePub

Produktbeschreibung

Advanced AI and Data Science Applications explores how the latest developments in artificial intelligence (AI) and data science are transforming diverse domains. The book blends theory and practice to serve as a roadmap to help readers understand how these cutting-edge technologies are revolutionizing practices across various fields. By providing a mix of theoretical insights and practical implementations, the book offers a holistic understanding of advanced AI and data science applications. Highlights of the book include:

• Metaheuristic optimization techniques for solving complex AI model training challenges
• The impact of AI and data science on urban development
• Implementing AI for enhanced cybersecurity in industrial control systems
• A comparative study of traditional and AI-based methods for English speech recognition
• Temporal dependency modeling in real-time data streams using a deep learning model
• Predictive analytics for financial fraud detection and risk management
• Data science in manufacturing for cost reduction and efficiency
• AI-driven agricultural analytics

Featuring such advanced modeling techniques as predictive modeling, simulation, and optimization algorithms, the book presents innovative solutions that emphasize benefits and practicality. With its emphasis on interdisciplinary applications, it showcases successful projects that underscore the synergy between AI and data science domains, empowering readers to harness the power of innovation for enhanced problem-solving and efficiency in interdisciplinary realms.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 328
• Erscheinungstermin: 25. September 2025
• Englisch
• ISBN-13: 9781040407066
• Artikelnr.: 75164685

Autorenporträt

Dr. D. Sivabalaselvamani is an associate professor in the Department of Computer Applications, Kongu Engineering College, Perundurai, India. Dr. G. Revathy is an assistant professor in the Department of CSE, SASTRA Deemed University, Kumbakonam, India. Dr. Ranjit Singh Sarban Singh is an associate professor in the Department of Computing and Information Systems, School of Engineering and Technology, Sunway University, Malaysia.

Inhaltsangabe

1. Metaheuristic Optimization Techniques for Solving Complex AI Model
Training Challenges 2. AI and Data Science: Transforming IPL Strategy and
Success 3. Augmenting Human Creativity: An Assessment AI in Art and Music
Generation 4. Building Tomorrow's Cities: The Impact of AI and Data Science
on Urban Development 5. Implementing AI for Enhanced Cybersecurity Iin
Industrial Control Systems 6. A Comparative Study of Traditional and
AI-Based Methods for English Speech Recognition 7. Smart Gene Editing: AI
and DS to Improve CRISPR-Cas9 Outcomes in Disease Therapy 8. Polarizing
Sentiments: A Comprehensive Analysis of Social Media Content Using Text
Extraction and Sentiment Polarization 9. Deep Learning Approaches for Skin
Disease Detection: A Comprehensive Review 10. Transforming Healthcare with
Blockchain: A Review of Security, Efficiency, and Resource Allocation
Strategies 11. Temporal Dependency Modeling in Real-Time Data Streams Using
a Deep Learning Model 12. Enhancing Bone Cancer Detection Using AI-Based
Multi-Model Ensemble Deep Learning Techniques 13. Hand Sign and Gesture
Recognition Using Deep Learning 14. Artificial Intelligence and Data
Science: An Overview 15. Enhancing Rainfall Prediction: Optimizing XGBoost
with Bayesian Hyperparameter Tuning (OPXGB) 16. AI in Finance: Predictive
Analytics for Fraud Detection and Risk Management 17. Optimizing Supply
Chains with AI: Data Science in Manufacturing for Cost Reduction and
Efficiency 18. AI-Driven Agricultural Analytics: Enhancing Sustainability
and Productivity through Data Science 19. Data Science in Fintech:
Transforming Financial Services with Machine Learning and AI 20. Balancing
AI Security and Access: Ethical Considerations in Deploying AI Models