1st Edition
Advanced AI and Data Science Applications
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.
1. Metaheuristic Optimization Techniques for Solving Complex AI Model Training Challenges
G. Revathy, S. Tamil Selvan, C. P. Thamil Selvi, and E. Angel Anna Prathiba
2. AI and Data Science: Transforming IPL Strategy and Success
G. Revathy, Sivakumar Madeshwaran, Chidambaranathan C. M., and M. Sakthivel
3. Augmenting Human Creativity: An Assessment AI in Art and Music Generation
M. Thangavel, V. Latha Jothi, C. Nithiya, and Venkateswaran S.
4. Building Tomorrow’s Cities: The Impact of AI and Data Science on Urban Development
P. Muruga Priya, T. Nandhini, K. Mohanapriya, R. Shobana
5. Implementing AI for Enhanced Cybersecurity In Industrial Control Systems
C. Sudha, M. Vadivukarassi, S. Senthilvadivu, and M. Dhipa
6. A Comparative Study of Traditional and AI-Based Methods for English Speech Recognition
K. Preethi, L. Bapitha, A. Backia Abinaya, and D. Mangalambigai
7. Smart Gene Editing: AI and DS to Improve CRISPR-Cas9 Outcomes in Disease Therapy
V. Balajishanmugam, N. Seethalakshmi, Palanimani P. G., and R. Menaha
8. Polarizing Sentiments: A Comprehensive Analysis of Social Media Content Using Text Extraction and Sentiment Polarization
J. Justina Princy Thilagavathy, J. Felicia Lilian, and A. Malini
9. Deep Learning Approaches for Skin Disease Detection: A Comprehensive Review
M. Mariyammal and R. Janarthanan
10. Transforming Healthcare with Blockchain: A Review of Security, Efficiency, and Resource Allocation Strategies
R. Sugantha Lakshmi and N. Suguna
11. Temporal Dependency Modeling in Real-Time Data Streams Using Deep Learning Model
Devika R., Thanuja R., and Srihari S.
12. Enhancing Bone Cancer Detection Using AI-Based Multi-Model Ensemble Deep Learning Techniques
D. Sivabalaselvamani, Ranjit Singh Sarban Singh, S. Hemalatha, A. Prabhu, and K. Nanthini
13. Hand Sign and Gesture Recognition Using Deep Learning
Kalaivani K. S., Deepanraj S., Veenas Kumar S., and Aswath M.
14. Artificial Intelligence and Data Science: An Overview
Jacintha Menezes
15. Enhancing Rainfall Prediction: Optimizing XGBoost with Bayesian Hyperparameter Tuning (OPXGB)
Umamaheswari P. and Ramaswamy V.
16. AI in Finance: Predictive Analytics for Fraud Detection and Risk Management
S. Prabhu, P. V. Jothikantham, R. Asha Mary, M. Thirunavukkarasu
17. Optimizing Supply Chains with AI: Data Science in Manufacturing for Cost Reduction and Efficiency
D. Vanathi, Sudha Narang, Suresh Kumar R. G., and P. S. Ramesh
18. AI-Driven Agricultural Analytics: Enhancing Sustainability and Productivity through Data Science
Saravanakumar R., A. Ramalingam, G. Saravanan, and C. Nithiya
19. Data Science in Fintech: Transforming Financial Services with Machine Learning and AI
Abhirami J. S., R. Poonkodi, S. Sivaselvi, and P. Uma
20. Balancing AI Security and Access: Ethical Considerations in Deploying AI Models
Saigurudatta Pamulaparthyvenkata
Biography
Dr. D. Sivabalaselvamani is an associate professor in the School of Information Science, Presidency University, Bengaluru, Karnataka, 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.
