The book explores advancements in Artificial Intelligence (AI) and data science for various domains. Looking at these technologiesâ transformative impact on developing application, the book blends theory and practice to serve as a roadmap for understanding how these technologies are applied.
The book explores advancements in Artificial Intelligence (AI) and data science for various domains. Looking at these technologiesâ transformative impact on developing application, the book blends theory and practice to serve as a roadmap for understanding how these technologies are applied.
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
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
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