| Description |
1 online resource (268 pages) : illustrations (black and white, and color) |
| Series |
Smart innovation, systems and technologies ; volume 348 |
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Smart innovation, systems, and technologies ; 348.
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| Contents |
Intro -- Preface -- Contents -- About the Editors -- 1 Prediction Based on Sentiment Analysis and Deep Learning -- 1.1 First Section -- 1.2 Benchmark Prediction -- 1.2.1 Capture Data of Stock Comments from www.guba.eastmoney.com [1] -- 1.2.2 Build a Model for False News Judgment -- 1.2.3 Test Stock Comments for False News -- 1.2.4 Build a Sentiment Classification Model for Stock Comment -- 1.2.5 Build an Index from the Analysis Results -- 1.2.6 Capture and Load Data -- 1.2.7 A Subsection Sample -- 1.3 Conclusion -- References -- 2 A Survey on Time Series Forecasting -- 2.1 Introduction |
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2.2 Traditional Machine Learning-Based Method -- 2.2.1 Feature Extraction -- 2.2.2 Feature Selection -- 2.2.3 Model Training -- 2.2.4 Rolling Time Series Forecasting -- 2.3 Deep Learning-Based Method -- 2.3.1 RNN -- 2.3.2 LSTM -- 2.3.3 GRU -- 2.4 Experiment Results -- 2.4.1 Machine Learning Results -- 2.4.2 Deep Learning Results -- 2.5 Conclusion -- References -- 3 Research and Development of Visual Interactive Performance Test Methods and Equipment for Intelligent Cockpit -- 3.1 Introduction -- 3.2 System Overview -- 3.2.1 Visual Bionic Robot -- 3.2.2 Main Case of Bionic Robot |
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3.2.3 Binocular High-Frame Camera -- 3.2.4 Software -- 3.3 Head Visual Tracking -- 3.3.1 Self-Stabilizing Function of the Head -- 3.3.2 High-Precision Servo Motor -- 3.3.3 Servo Encoder -- 3.3.4 Self-Stabilizing PID Algorithm for the Cradle Head -- 3.3.5 Precision Test of Self-Stabilizing Function of Head -- 3.4 System Effect -- 3.5 Conclusion -- References -- 4 Design and Validation of Automated Inspection System Based on 3D Laser Scanning of Rocket Segments -- 4.1 Introduction -- 4.2 3D Scanning Measurement Principle -- 4.2.1 Three-Dimensional Laser Scanning Equipment |
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4.2.2 Lifting Platform System -- 4.2.3 Checking Standard Device -- 4.2.4 Measurement Software Design -- 4.3 Measurement System Accuracy Verification -- 4.3.1 Verification of Length Splicing Accuracy -- 4.3.2 Verification of Geometric Element Detection Accuracy -- 4.4 Conclusion -- 4.5 Discussion -- References -- 5 Research and Implementation of Electric Equipment Connectivity Data Analysis Model Based on Graph Database -- 5.1 Introduction -- 5.2 Related Work -- 5.3 Research on the Method and Algorithm of Electric Data Modeling -- 5.3.1 Electric Data -- 5.3.2 Electric Data Modeling |
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5.4 Implementation of Electric Data Model Based on Graph Database -- 5.4.1 Electric Data Relation Processing -- 5.4.2 Implementation and Construction of Power Data Model -- 5.4.3 Electric Equipment Connectivity Analysis Based on Power Grid Data Model -- 5.5 Application Results -- References -- 6 Improving CXR Self-Supervised Representation by Pretext Task and Cross-Domain Synthetic Data -- 6.1 Introduction -- 6.2 Related Works -- 6.2.1 Overview of CXR Classification -- 6.2.2 Self-Supervision and Contrastive Learning -- 6.2.3 Pretext Task and Data Augmentation -- 6.3 Problem Definition |
| Summary |
This book presents high-quality research in the field of 3D imaging technology. The fourth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first three editions of the conference to provide a wide scientific forum for researchers, academia and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in 2 volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches |
| Notes |
Includes author index |
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Print version record |
| Subject |
Three-dimensional imaging -- Congresses
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Signal processing -- Congresses
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Deep learning (Machine learning) -- Congresses
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Deep learning (Machine learning)
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Signal processing
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Three-dimensional imaging
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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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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Patnaik, Srikanta, editor.
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Kountchev, Roumen, editor.
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Tai, Yonghang, editor
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Kountcheva, Roumiana, editor
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| ISBN |
9789819911455 |
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9819911451 |
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