Overview

Full Product Details

Author:   Shiguo Lian ,  Zhaoxiang Liu
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.540kg
ISBN:  

9781041082262

ISBN 10:   1041082266
Pages:   191
Publication Date:   14 August 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. Introduction to Artificial Intelligence for Practical Application 2. Fine-grained Dataset Design Paradigm for Mask-Wearing Recognition 3. Hand-Held Action Detection Paradigm for Smoking Detection 4. Human Action Recognition Paradigm for Person Safety Supervision in Various Practical Scenarios 5. Person Counting Paradigm for Intelligent Video Surveillance in Various Practical Scenarios 6. Operation Procedure Detection Paradigm for Noncompliant Operations Detection of Oil Unloading 7. Object Measurement Paradigm for Length Measurement of Iron Chains 8. Quality Estimation Paradigm for Copper Scrap Granules Recycling 9. Human-in-the-Loop Learning Paradigm for Fabric Anomaly Detection 10. Supervised Learning Paradigm for Edible Oil Anomaly Detection 11. Unsupervised Learning Paradigm for Industrial Visual Anomaly Detection 12. Object Identity Recognition Paradigm for Fishing Boat Recognition 13. Image Editing Paradigm for Clothing Fashion Customization 14. Retrieval-Augmented Generation Paradigm for Professional Knowledge Acquisition Applications 15. Multimodal Generation Paradigm for Visualizing Historical Artifacts

Reviews

Author Information

Shiguo Lian received his Ph.D. from Nanjing University of Science and Technology, China. He currently serves as Chief Scientist at the Data Science & Artificial Intelligence Research Institute and Chief Engineer of AI Technology, China Unicom. He is a member of the IEEE Multimedia Communications and Computational Intelligence Technical Committees. His research focuses on visual recognition, multimodal large models, robotics, and multimodal interactions. Zhaoxiang Liu received his Ph.D. from the College of Information and Electrical Engineering at China Agricultural University, China. He currently serves as Director of AI Research at the Data Science & Artificial Intelligence Research Institute, China Unicom. His research interests include artificial intelligence, large language models, multimodal large models, deep learning, computer vision, and embodied AI.

Tab Content 6

Author Website:  

Countries Available

All regions