| Description |
1 online resource (xii, 581 pages) : illustrations (chiefly color) |
| Series |
Lecture notes in networks and systems, 2367-3389 ; volume 845 |
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Lecture notes in networks and systems ; v. 845. 2367-3389
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| Contents |
Intro -- Preface -- Contents -- Springback Prediction Using Gated Recurrent Unit and Data Augmentation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Background -- 3.2 Data Augmentation -- 3.3 Springback Prediction with GRU -- 3.4 Implementation Detail -- 4 Evaluation -- 4.1 Experiment Result -- 4.2 Evaluation Metrics -- 4.3 What Does the Proposed System Compare with the Previous Work? -- 4.4 What is the Best Step Value? -- 4.5 What is the Best Grid Size? -- 5 Conclusion -- References -- Road Signage and Road Obstacle Detection Using Deep Learning Method -- 1 Introduction |
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1.1 Related Works -- 2 Methodology -- 2.1 Data Collection -- 2.2 Image Annotation -- 2.3 Dataset Splitting -- 2.4 Transfer Learning -- 2.5 Evaluation -- 3 Result and Discussion -- 3.1 Object Detection Result -- 3.2 Confusion Matrix -- 3.3 Precision-Recall Curve -- 3.4 F1 Score Graph -- 3.5 Discussion -- 4 Conclusion -- References -- Advancing Mass Customization Through GPT Language Models: A Multidimensional Analysis of Market, Technological, and Managerial Innovations -- 1 Introduction -- 1.1 Introduction to Intelligent Manufacturing -- 1.2 Introduction to ChatGPT |
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1.3 Introduction to Manufacturing and Mass Customization -- 2 Concept of GPT Innovation in Mass Customization -- 2.1 Innovation in New Business Model -- 2.2 Innovation in New Production Environment -- 2.3 Innovation in New Business Process System -- 3 ChatGPT in Mass Customization -- 4 Mass Customization of Luxury Brands Products -- 5 Limitation of GPT Development in Mass Customization -- 6 Conclusion -- 7 Future Work -- References -- CenterNet: A Transfer Learning Approach for Human Presence Detection -- 1 Introduction -- 2 Methodology -- 2.1 Image Acquisition -- 2.2 Image Annotation |
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2.3 Dataset Preparation -- 2.4 Transfer Learning-Fine-Tuning -- 2.5 Learning Curve Inspection -- 2.6 Performance Evaluation -- 3 Result and Discussion -- 4 Conclusion -- References -- Deep Learning Algorithms for Recognition of Badminton Strokes: A Study Using SDNN, RNN, and RNN-GRU Models with Off-Court Video Capture -- 1 Introduction -- 2 Methodology -- 3 Results and Discussion -- 4 Conclusion -- References -- Bibliometric Analysis of Image Segmentation with Deep Learning: An Analytical Study -- 1 Introduction -- 2 Method -- 3 Results and Discussion |
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3.1 Analysis of Publication and Document Classifications -- 3.2 Analysis of Journals and Cited Articles -- 3.3 Analysis of Countries and Institutions -- 3.4 Popular Research Topics and Keyphrase Analysis -- 4 Conclusion -- References -- Unsupervised Learning of Time-Series Classification Using Machine Learning Through Fertigation System -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Monitoring Device -- 2.2 Feature Extraction -- 2.3 k-means Clustering -- 2.4 Event Identification -- 3 Results -- 3.1 k-means Clustering -- 3.2 Event Identification |
| Summary |
This book presents selected peer reviewed articles from the International Conference on Intelligent Manufacturing and Robotics (ICIMR 2023) held on 22-23 August at the Xi’an Jiaotong-Liverpool University in China. The book deliberates on the key challenges, engineering and scientific discoveries, innovations, and advances in intelligent manufacturing and robotics that are non-trivial through the lens of Industry 4.0. In this book, traditional and modern solutions that are employed across the spectrum of various intelligent manufacturing and robotics contexts are discussed. The book provides an insightful view on the current trends, issues, mitigating factors as well as proposed solutions |
| Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed March 4, 2024) |
| Subject |
Manufacturing processes -- Data processing -- Congresses
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Artificial intelligence -- Industrial applications -- Congresses
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Robotics -- Congresses
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| Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Tan, Andrew, editor
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Zhu, Fan, editor
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Jiang, Haochuan, editor
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Mostafa, Kazi, editor
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Yap, Eng Hwa, editor
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Chen, Leo, editor
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Olule, Lillian J. A., editor
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Myung, Hyun, editor.
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| ISBN |
9789819984985 |
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981998498X |
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