Next-Generation Computational Intelligence: Trends and Technologies
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Next-Generation Computational Intelligence: Trends and Technologies explores the transformative potential of advanced computational intelligence (CI) methods and their application across modern industries. With the rapid evolution of artificial intelligence, machine learning, and deep learning frameworks, this book provides a comprehensive overview of emerging CI trends and their role in shaping intelligent decision-making systems, automation, and data-driven innovation.Contributors from academia and industry present cutting-edge research on neural networks, fuzzy systems, evolutionary algorit...
Next-Generation Computational Intelligence: Trends and Technologies explores the transformative potential of advanced computational intelligence (CI) methods and their application across modern industries. With the rapid evolution of artificial intelligence, machine learning, and deep learning frameworks, this book provides a comprehensive overview of emerging CI trends and their role in shaping intelligent decision-making systems, automation, and data-driven innovation.
Contributors from academia and industry present cutting-edge research on neural networks, fuzzy systems, evolutionary algorithms, and hybrid intelligent systems, emphasizing real-world applications in domains such as healthcare, finance, smart manufacturing, cybersecurity, and intelligent transportation. The book also addresses challenges in scalability, interpretability, and sustainability, offering critical insights for researchers, practitioners, and policy-makers.
As part of the Information Systems Engineering and Management series, this volume serves as an essential resource for graduate students, researchers, engineers, and professionals seeking to harness the power of next-generation CI to drive digital transformation and competitive advantage.
Contributors from academia and industry present cutting-edge research on neural networks, fuzzy systems, evolutionary algorithms, and hybrid intelligent systems, emphasizing real-world applications in domains such as healthcare, finance, smart manufacturing, cybersecurity, and intelligent transportation. The book also addresses challenges in scalability, interpretability, and sustainability, offering critical insights for researchers, practitioners, and policy-makers.
As part of the Information Systems Engineering and Management series, this volume serves as an essential resource for graduate students, researchers, engineers, and professionals seeking to harness the power of next-generation CI to drive digital transformation and competitive advantage.
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