Könyv Driving Innovation by Dynamic Optimization Ranjan Kumar

Driving Innovation by Dynamic Optimization

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 14-20 napon belül
80 420 Ft
Future-proof your technical expertise by mastering the multidisciplinary synergy of AI-driven optimi...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2026
oldal
352
EAN
9781394315697
ISBN
1394315694
Enbook ID
46404363
Súly
666

Teljes leírás

Future-proof your technical expertise by mastering the multidisciplinary synergy of AI-driven optimization and intelligent algorithms with this essential resource to optimization for the modern world. The rapid evolution of artificial intelligence, machine learning, and data-driven optimization has transformed the landscape of scientific research and industrial innovation. This book presents a diverse and multidisciplinary collection of contemporary studies that advance theoretical foundations, computational techniques, and application-driven solutions across multiple domains to reflect the growing importance of optimization, intelligent systems, and hybrid analytical frameworks in solving complex real-world problems. This essential guide focuses on next-generation technologies such as AI-driven cybersecurity, dynamic optimization in 6G networks, fuzzy logic-based energy management, automated neural machine translation, and GAN-driven aerodynamic shape design, illustrating the synergy between intelligent algorithms and modern engineering systems. Whether you are a researcher, practitioner, or simply an enthusiast, this book will serve as an enlightening resource, providing valuable insights into the ever-evolving realm of optimization for the modern world. Readers will find the volume: Provides comprehensive coverage of the backgrounds, foundations, and theoretical ideas of optimization methods and their potential applications;Introduces applications of fuzzy sets for solving optimization problems in real-life scenarios;Explores the transformative potential of fuzzy sets for optimization across several domains like healthcare, finance, and education. Audience Researchers, academics, industry experts, scientists, and technologists looking for insights into advances across optimization theory, machine learning, deep learning, cybersecurity, healthcare analytics, energy systems, and intelligent decision-making.

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