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Articles by Ao Xiang
[2411.18314] Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN)
arXiv:2411.18314 (cs) View PDF Subjects: Computer Vision and Pattern Recognition (cs.CV) Cite as: arXiv:2411.18314 [cs.CV] (or arXiv:2411.18314v1 [cs.CV] for this version) https://doi.org/10.48550/arXiv.2411.18314 Submission history From: Ao Xiang [ view email] [v1] Wed, 27 Nov 2024 13:10:18 UTC (459 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?)...
[2406.09765] Application of Natural Language Processing in Financial Risk Detection
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[2404.12634] Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Na4Fe3(PO4)2(P2O7)@C/Ti3C2Tx Hybrid Cathode Materials with Enhanced Performances for Sodium-Ion Batteries
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
[2403.08499] Improved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks
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Achieving Stable Copper Ion Storage in Layered Vanadium Pentoxide
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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