• 0 5391 6310 , 0 5391 6320
  • acquisition_library@mfu.ac.th
  • BOOK
  • E-BOOK
        
  • Log in
  • HOME
  • CATEGORY
    • Agro-Industry
    • Anti Aging and Regenerative Medicine
    • Applied Digital Technology
    • Cosmetic Science
    • Dentistry
    • General Books
    • Health Science
    • Integrative Medicine
    • Law
    • Liberal Arts
    • Management
    • Medicine
    • Nursing
    • Science
    • Sinology
    • Social Innovations
  • BOOKFAIR WEBSITE
  • MANUAL
  • FEEDBACK

Category

Agro-Industry

Anti Aging and Regenerative Medicine

Applied Digital Technology

Cosmetic Science

Dentistry

Health Science

Integrative Medicine

Law

Liberal Arts

Management

Medicine

Nursing

Science

Sinology

Social Innovations

General Books

Book

Artificial Intelligence Paradigms for Application Practice

ISBN : 9781041082262

Author : Shiguo Lian

Publisher : CRC Press

Year : 2025

Language : English

Type : Book

Description : This book proposes practical application paradigms for deep neural networks, aiming to establish best practices for real-world implementation. Over the past decade, deep neural networks have made significant progress. However, effectively applying these networks to solve various practical problems remains challenging, which has limited the widespread application of artificial intelligence. Artificial Intelligence Paradigms for Application Practice is the first to comprehensively address implementation paradigms for deep neural networks in practice. The authors begin by reviewing the development of artificial neural networks and provide a systematic introduction to the tasks, principles, and architectures of deep neural networks. They identify the practical limitations of deep neural networks and propose guidelines and strategies for successful implementation. The book then examines 14 representative applications in urban planning, industrial production, and transportation. For each case, the authors present a landing paradigm that effectively addresses practical challenges supported by illustrations, background information, related work, methods, experiments, and conclusions. The experimental results validate the effectiveness of the proposed implementation approaches. The book will benefit researchers, engineers, undergraduate, and graduate students interested in artificial intelligence, deep neural networks, large models, stable diffusion models, video surveillance, smart cities, intelligent manufacturing, intelligent transportation, and other related areas.

Please register to recommend this book to the library.

RECOMMENDED BOOKS

Carbon Neutrality in the Gulf

Wael A. Samad

  • Detail

What's your dream?

Simon squibb

  • Detail

Security Challenges In Contemporary Indo-Pacific

Zhiqun Zhu

  • Detail

Natural Language Processing for Software Engineering

Rajesh Kumar Chakrawarti

  • Detail

Analytical Methods for Milk and Milk Products Volume 1: Sampling Methods and Chemical and Compositional Analysis

Megh R. Goyal

  • Detail

Next-Generation Dentistry Practices to Enhance Patient Outcomes

Sharjeel Chaudhry

  • Detail

Representations and Rights of the Environment

Sandy Lamalle

  • Detail

Advances in AI for Cloud, Edge, and Mobile Computing Applications

Shrikaant Kulkarni

  • Detail

Learning Reources and Education Media Centre - Mae Fah Luang University