Computer Vision and Machine Learning for Intelligent Sensing Systems
The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational i...
Salvato in:
| Natura: | Online |
|---|---|
| Lingua: | inglese |
| Pubblicazione: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Soggetti: | |
| Accesso online: | ONIX_20230714_9783036578682_102 |
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| _version_ | 1869520327457898496 |
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| collection | Directory of Open Access Books |
| description | The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational investigations into sense-making methods, and discusses particular uses of intelligent sensing systems in autonomous driving and virtual reality. |
| format | Online |
| id | doab-20.500.12854ir-101403 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1014032024-03-30T12:51:24Z Computer Vision and Machine Learning for Intelligent Sensing Systems Tian, Jing mobile edge computaing simultaneous wireless information and power transfer energy minimization 5G wireless sensing network IoT fiber bragg grating optical fiber sensor distributed temperature sensor deep learning algorithms fully connected neural network convolutional neural network MADS dataset human segmentation human tracking convolutional neural networks targeted advertising emotion-based recommendation augmented reality computer vision deep learning clustering similarity measure geodesic measure Euclidean measure depth fusion TSDF sensor noises gaze estimation based on feature eye landmark detection self-attention synthetic eye images heuristic attention perceptual grouping self-supervised learning visual representation learning intelligent sensors robotics event-based camera contrast maximization optical flow motion estimation human action recognition graph neural network attention module big five personality traits cultural algorithm hyper-parameter optimization personality perception online self-calibration voxel information n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational investigations into sense-making methods, and discusses particular uses of intelligent sensing systems in autonomous driving and virtual reality. 2023-07-14T14:30:07Z 2023-07-14T14:30:07Z 2023 book ONIX_20230714_9783036578682_102 9783036578682 9783036578699 https://directory.doabooks.org/handle/20.500.12854/101403 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7500 https://mdpi.com/books/pdfview/book/7500 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7869-9 10.3390/books978-3-0365-7869-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036578682 9783036578699 244 Basel open access |
| spellingShingle | mobile edge computaing simultaneous wireless information and power transfer energy minimization 5G wireless sensing network IoT fiber bragg grating optical fiber sensor distributed temperature sensor deep learning algorithms fully connected neural network convolutional neural network MADS dataset human segmentation human tracking convolutional neural networks targeted advertising emotion-based recommendation augmented reality computer vision deep learning clustering similarity measure geodesic measure Euclidean measure depth fusion TSDF sensor noises gaze estimation based on feature eye landmark detection self-attention synthetic eye images heuristic attention perceptual grouping self-supervised learning visual representation learning intelligent sensors robotics event-based camera contrast maximization optical flow motion estimation human action recognition graph neural network attention module big five personality traits cultural algorithm hyper-parameter optimization personality perception online self-calibration voxel information n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science Computer Vision and Machine Learning for Intelligent Sensing Systems |
| title | Computer Vision and Machine Learning for Intelligent Sensing Systems |
| title_full | Computer Vision and Machine Learning for Intelligent Sensing Systems |
| title_fullStr | Computer Vision and Machine Learning for Intelligent Sensing Systems |
| title_full_unstemmed | Computer Vision and Machine Learning for Intelligent Sensing Systems |
| title_short | Computer Vision and Machine Learning for Intelligent Sensing Systems |
| title_sort | computer vision and machine learning for intelligent sensing systems |
| topic | mobile edge computaing simultaneous wireless information and power transfer energy minimization 5G wireless sensing network IoT fiber bragg grating optical fiber sensor distributed temperature sensor deep learning algorithms fully connected neural network convolutional neural network MADS dataset human segmentation human tracking convolutional neural networks targeted advertising emotion-based recommendation augmented reality computer vision deep learning clustering similarity measure geodesic measure Euclidean measure depth fusion TSDF sensor noises gaze estimation based on feature eye landmark detection self-attention synthetic eye images heuristic attention perceptual grouping self-supervised learning visual representation learning intelligent sensors robotics event-based camera contrast maximization optical flow motion estimation human action recognition graph neural network attention module big five personality traits cultural algorithm hyper-parameter optimization personality perception online self-calibration voxel information n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | mobile edge computaing simultaneous wireless information and power transfer energy minimization 5G wireless sensing network IoT fiber bragg grating optical fiber sensor distributed temperature sensor deep learning algorithms fully connected neural network convolutional neural network MADS dataset human segmentation human tracking convolutional neural networks targeted advertising emotion-based recommendation augmented reality computer vision deep learning clustering similarity measure geodesic measure Euclidean measure depth fusion TSDF sensor noises gaze estimation based on feature eye landmark detection self-attention synthetic eye images heuristic attention perceptual grouping self-supervised learning visual representation learning intelligent sensors robotics event-based camera contrast maximization optical flow motion estimation human action recognition graph neural network attention module big five personality traits cultural algorithm hyper-parameter optimization personality perception online self-calibration voxel information n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20230714_9783036578682_102 |