Next-Generation Computational Intelligence: Trends and Technologies (Information Systems Engineering and Management 60) / Herausgegeben:Mahajan, Shubham/ de Vasconcelos, José/ Braga

Next-Generation Computational Intelligence: Trends and Technologies (Information Systems Engineering and Management 60) （2025. 450 S. Approx. 450 p. 235 mm）

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予約

Next-Generation Computational Intelligence: Trends and Technologies (Information Systems Engineering and Management 60) （2025. 450 S. Approx. 450 p. 235 mm）

Herausgegeben:Mahajan, Shubham/ de Vasconcelos, José/ Braga

ウェブストア価格 ¥50,184（本体¥45,622）
SPRINGER, BERLIN; SPRINGER NATURE SWITZERLAND; SPRING（2025/09発売）
外貨定価 EUR 213.99
ポイント 456pt

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製本 Hardcover:ハードカバー版／ページ数 450 p.
言語 ENG
商品コード 9783031968709

Full Description

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.

Does Machines Matter: Ethical Issues and Artificial Intelligence.- Future Trends in Artificial Intelligence-Driven Information Systems.- Future Directions in Computational Intelligence: Anticipating the Next Wave.- Reinforcement Learning: Emerging Trends and Challenges.- Multimodal Deep Learning: Bridging Text and Image Classification with Advanced Architectures.- AI in Finance: Computational Methods for Market Analysis and Risk Management.- Strategic Innovation of AI and ML for Ecommerce Data Security.- Application, Benefits, and Challenges of Artificial Intelligence for Student Assessment: A Literature Review.- Artificial Intelligence in Disaster Management: Forecasting, Response, and Recovery.- Design of Advanced AZ61 Magnesium Composites with Enhanced Strength and Ductility Using ANN-Based Computational Modeling.- Cybersecurity and Computational Intelligence: Protecting the Digital World.- Securing the Digital World using Cybersecurity and Computational Intelligence.- Internet Security Issues in Robotics for Brain-Computer Interface: Opportunities and Challenges.- Decentralized Secure Computation Offloading for Mobile IoT Devices Using Blockchain and Metaheuristics.- Enhancing Fog Computing with a Distributed Mobility-Aware Offloading Framework.- Enhancing Trust and Integrity in IoT-Fog Networks Using Blockchain-Based Auditing.- A Resource-Aware Blockchain Fog Framework for Secure and Scalable IoT Deployments on Edge Devices.- From Pixels to Enhanced Presence: Innovations in Image Processing for Augmented and Virtual Reality.- Displays for Virtual Reality and Augmented Reality: New Development and Potential Directions.