AI for Product Development

個数：

AI for Product Development

Naithani, Kanchan (EDT)/ Tiwari, Shrikant (EDT)/ Kumari, Shabnam (EDT)

ウェブストア価格 ¥40,832（本体¥37,120）
CRC Press（2025/06発売）
外貨定価 US$ 200.00
ポイント 371pt

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製本 Hardcover:ハードカバー版／ページ数 312 p.
言語 ENG
商品コード 9781032857756
DDC分類 658.575

Full Description

AI for Product Development explores the transformative role of artificial intelligence in reshaping modern industries. This book offers a comprehensive guide, spanning the evolution of AI in product innovation to practical applications, such as clustering techniques, human-autonomous vehicle interactions, and personalized healthcare solutions. With contributions from leading researchers, it covers explainable AI, real-world case studies, and ethical considerations in intelligent systems. The chapters delve into cutting-edge topics such as YOLO model variants, AI-driven emotion detection, and strategies for overcoming AI implementation challenges. Designed for researchers, professionals, and students, it bridges theory and practice, emphasizing AI's profound impact on product development and beyond.

Preface. 1. The Evolution of AI in Product Development. 2. From Data to Decisions: K-Means Clustering for Product Development and Marketing. 3. Algorithmic Analysis and Development for Enhanced Human-Autonomous Vehicle Coexistence. 4. Integrating AI-Driven Drug Discovery with Personalized Mental Health Interventions: Exploring Synergies for Enhanced Healthcare Solutions. 5. Establishing Communication in Agent Based E-Commerce Platforms. 6. AI-Driven Product Development: Real-World Case Studies. 7. Training and Skills Development for AI in Product Development. 8. Explainable AI. 9. Applications of XAI in Product Development. 10. Breaking Barriers: Strategies for Overcoming Hurdles in AI Implementation. 11. Triple Threat: YOLO Model Variants for Reinventing X-Ray Security. 12. Developing AI-Powered Products: Balancing Law and Ethics in the Intelligent Systems Era. 13. AI-Powered Automation Tools for Software Product Checking and Cost Management. 14. AI-Powered Emotion Detection: Understanding Facial 15. Expressions through Deep-Learning. AI Adoption Across Industries. Index. Biography of Editors.