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- ArticleJuly 2023
Camera Shy in Online Synchronous Class: A Qualitative Study in College Students
Blended Learning : Lessons Learned and Ways Forward Jul 2023, Pages 111–123https://doi.org/10.1007/978-3-031-35731-2_11AbstractOver the past two years, online synchronous video class has been the mainstream of higher education in China. However, college students had less trust in cameras and were reluctant to switch them on. This study employs grounded theory to describe ...
- research-articleJanuary 2023
Real-time prediction algorithm and simulation of sports results based on internet of things and machine learning
International Journal of Information Technology and Management (IJITM), Volume 22, Issue 3-42023, Pages 386–406https://doi.org/10.1504/ijitm.2023.131845Machine learning is an intelligent technology that plays an important role in classification and prediction. In the field of sports prediction, the prediction results must be processed, because many events in large-scale sports events are linked to funds. ...
- research-articleOctober 2022
Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution
MM '22: Proceedings of the 30th ACM International Conference on MultimediaOctober 2022, Pages 6083–6093https://doi.org/10.1145/3503161.3547947Recent multi-view multimedia applications struggle between high-resolution (HR) visual experience and storage or bandwidth constraints. Therefore, this paper proposes a Multi-View Image Super-Resolution (MVISR) task. It aims to increase the resolution ...
- research-articleJanuary 2023
A review of deep learning-based crowd abnormal behavior detection
ICIIP '22: Proceedings of the 7th International Conference on Intelligent Information ProcessingSeptember 2022, Article No.: 40, Pages 1–6https://doi.org/10.1145/3570236.3570277Video surveillance plays a crucial role in improving people's well-being and reducing social crime rates. In order to assist observers to improve the efficiency of surveillance, a large number of scholars have used deep learning to construct models for ...
- research-articleJanuary 2022
Identifying and Monitoring Students’ Classroom Learning Behavior Based on Multisource Information
Understanding human activity and behavior, particularly real-time understanding in video feeds, is one of the most active areas of research in Computer Vision (CV) and Artificial Intelligence (AI) nowadays. To advance the topic of integrating learning ...
- research-articleOctober 2021
Space-Angle Super-Resolution for Multi-View Images
MM '21: Proceedings of the 29th ACM International Conference on MultimediaOctober 2021, Pages 750–759https://doi.org/10.1145/3474085.3475244The limited spatial and angular resolutions in multi-view multimedia applications restrict their visual experience in practical use. In this paper, we first argue the space-angle super-resolution (SASR) problem for irregular arranged multi-view images. ...
- research-articleMay 2019
RETRACTED ARTICLE: Gray relational clustering model for intelligent guided monitoring horizontal wells
Neural Computing and Applications (NCAA), Volume 31, Issue 5May 2019, Pages 1339–1351https://doi.org/10.1007/s00521-018-3645-4AbstractWhen drilling CBM horizontal wells, in order to improve the drilling rate of coal seams, real-time monitoring the lithology encountered underground must be performed. There are a large number of real-time logging data and historical data during ...
- ArticleAugust 2010
An Improved LAM Feature Selection Algorithm
WISA '10: Proceedings of the 2010 Seventh Web Information Systems and Applications ConferenceAugust 2010, Pages 35–38https://doi.org/10.1109/WISA.2010.33In text categorization, feature selection is an effective feature dimension-reduction methods. To solve the problems of unadaptable high original feature space dimension, too much irrelevance, data redundancy and difficulties in selecting a threshold, ...