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Titlebook: International Conference on Neural Computing for Advanced Applications; 4th International Co Haijun Zhang,Yinggen Ke,Yuanyuan Mu Conference

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发表于 2025-3-21 20:05:41 | 显示全部楼层 |阅读模式
书目名称International Conference on Neural Computing for Advanced Applications
副标题4th International Co
编辑Haijun Zhang,Yinggen Ke,Yuanyuan Mu
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: International Conference on Neural Computing for Advanced Applications; 4th International Co Haijun Zhang,Yinggen Ke,Yuanyuan Mu Conference
描述The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023..The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intell
出版日期Conference proceedings 2023
关键词artificial intelligence; communication systems; computer security; computer vision; data mining; deep lea
版次1
doihttps://doi.org/10.1007/978-981-99-5847-4
isbn_softcover978-981-99-5846-7
isbn_ebook978-981-99-5847-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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发表于 2025-3-22 00:05:48 | 显示全部楼层
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Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithmjoint CBAM module works best. The experimental results show that compared with the original YOLOv5s model, the mAP value of smoke and fire recognition in daytime scenes is improved by 4.4%, and the mAP value of smoke and fire recognition in nighttime scenes is as high as 97.1%.
发表于 2025-3-22 07:30:41 | 显示全部楼层
MAMF: A Multi-Level Attention-Based Multimodal Fusion Model for Medical Visual Question Answeringined from word embeddings and question feature to emphasize relevant regions for improving the quality of predicted answers. Results on VQA-RAD and PathVQA datasets suggest that our MAMF significantly outperforms the related state-of-the-art baselines.
发表于 2025-3-22 10:02:18 | 显示全部楼层
ASIM: Explicit Slot-Intent Mapping with Attention for Joint Multi-intent Detection and Slot Fillingtween two tasks but also maps specific intents to each semantic slot. The ASIM model can balance multi-intent knowledge to guide slot filling and further increase the interaction between the two tasks. Experimental results on the MixATIS dataset demonstrate that our ASIM model achieves substantial improvement and state-of-the-art performance.
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Improved YOLOv5s Based Steel Leaf Spring Identificationosition information of the target steel leaf spring, so that the robot can obtain the best motion trajectory and improve the efficiency of steel leaf spring grasping. In this paper, the identification method of steel leaf springs is studied. The images of the steel leaf springs are first acquired us
发表于 2025-3-23 09:17:56 | 显示全部楼层
A Bughole Detection Approach for Fair-Faced Concrete Based on Improved YOLOv5oncrete. However, most existing deep learning methods use image segmentation to detect bugholes or other defects on the surface of formed concrete, there is a lack of a method that can detect bughole on the concrete surface instantly during the pouring process. In addition, the inability to effectiv
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