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Analysis of Technical Innovation and Safety Measures of Open Pit Mining
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作者 ZUO Yadong 《外文科技期刊数据库(文摘版)工程技术》 2021年第10期836-840,共8页
Open pit mining engineering is complex. As an important part of mining engineering management, mining technology and safety management will directly affect the mining quality and safety. Therefore, mining enterprises ... Open pit mining engineering is complex. As an important part of mining engineering management, mining technology and safety management will directly affect the mining quality and safety. Therefore, mining enterprises should strengthen technological innovation and safety management, actively introduce new technologies and management concepts, and constantly improve their own technical level and management level, so as to effectively improve mining efficiency and reduce potential safety hazards, which is of positive significance to the sustainable and stable development of mining enterprises. 展开更多
关键词 open pit mine EXPLOITATION SECURITY
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Advancing Sports Image Classification and Analysis:Effective Data Augmentation and Feature Alignment Strategies
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作者 Ping Liu Chao Zhao +2 位作者 Bin Zang Sifeng Wang Shigen Shen 《Tsinghua Science and Technology》 2026年第1期577-589,共13页
Sport plays a crucial role in society,influencing physical health,entertainment,and community engagement.As artificial intelligence advances,the ability to classify sport images accurately becomes increasingly crucial... Sport plays a crucial role in society,influencing physical health,entertainment,and community engagement.As artificial intelligence advances,the ability to classify sport images accurately becomes increasingly crucial.Effective sport image classification enhances applications,such as performance analysis,athlete tracking,and fan engagement.Despite its significance,current methods face challenges due to limited labeled datasets and issues with feature misalignment.This paper introduces a novel Contrastive Language-Image Pre-training(CLIP)based framework specifically designed for sport image classification.By incorporating data augmentation techniques,the approach addresses data sparsity and enriches the diversity of image-text pairings,reducing the need for extensive manual annotation.Additionally,feature alignment strategies tackle text-image misalignment issues that affect classification accuracy.This approach fills a significant research gap and offers practical solutions to improve classification performance in sport image analysis.The results of extensive experiments validate the effectiveness of the framework,demonstrating its potential to advance sports analytics and contribute to more precise and scalable solutions in sport image classification. 展开更多
关键词 sport image classification sports analytics data augmentation feature alignment
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