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.

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.