Authored by Dr. Ashwani Kumar, Dr. Mohit Kumar, Dr. Avinash Kumar Sharma, and Dr. Yojna Arora, this book offers a comprehensive exploration of how AI is reshaping predictive modeling, operational efficiency, and decision-making frameworks across diverse domains.
Structured into nine chapters, the book begins by laying a strong foundation in AI-driven financial analytics, addressing challenges in market prediction, fraud detection, and risk assessment. It then transitions to the healthcare sector, where it discusses applications ranging from disease classification using deep learning models such as ResNet to ethical considerations in AI-based decision-making. The final section delves into cybersecurity innovations—covering predictive threat modeling, smart home authentication, and biometric identification systems that leverage the latest in neural and attention-based architectures.
The book’s multidisciplinary structure makes it a valuable resource for data scientists, ML engineers, financial analysts, cybersecurity professionals, academic researchers, and technology policymakers seeking to understand how AI-driven analytics can enhance resilience, efficiency, and decision-making across multiple sectors.
About the Editors
Dr. Ashwani Kumar (Bennett University), Dr. Mohit Kumar (Amity University), Dr. Avinash Kumar Sharma, and Dr. Yojna Arora (Sharda University) are distinguished researchers in computer science with extensive publications, patents, and contributions to AI, cybersecurity, and data analytics.
Learn more about this book at: http://bit.ly/4qDjoUa