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Titlebook: Recent Challenges in Intelligent Information and Database Systems; 16th Asian Conferenc Ngoc Thanh Nguyen,Richard Chbeir,Krystian Wojtkiew

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發(fā)表于 2025-3-21 17:35:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Recent Challenges in Intelligent Information and Database Systems
副標(biāo)題16th Asian Conferenc
編輯Ngoc Thanh Nguyen,Richard Chbeir,Krystian Wojtkiew
視頻videohttp://file.papertrans.cn/824/823093/823093.mp4
叢書(shū)名稱(chēng)Communications in Computer and Information Science
圖書(shū)封面Titlebook: Recent Challenges in Intelligent Information and Database Systems; 16th Asian Conferenc Ngoc Thanh Nguyen,Richard Chbeir,Krystian Wojtkiew
描述.This book constitutes the proceedings of the 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, held in Ras Al Khaimah, UAE, during April 15–18, 2024...The 58 full papers are presented in this book were carefully reviewed and selected from 251 submissions. They are organized in topical sections as follows:?..Part One:?AI-driven Cybersecurity Solutions; AI-driven Medical Analytics; Computational Intelligence; and Data Modelling and Information Systems...Part Two:?Image and Video Processing; Prediction and Recommendation Systems; and Text, Speech and Natural Language Processing..
出版日期Conference proceedings 2024
關(guān)鍵詞Knowledge representation and reasoning; Natural language processing; Information Retrieval; Document ma
版次1
doihttps://doi.org/10.1007/978-981-97-5934-7
isbn_softcover978-981-97-5933-0
isbn_ebook978-981-97-5934-7Series 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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Leveraging Large Image-Caption Datasets for?Multimodal Taxon Classification the Phylum and Class ranks. Our results provide novel insights into the application of multimodal models in taxonomic classification and highlight potential directions for future research in this field. The development of the large image-caption dataset serves as a benchmark to design models that e
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Automatic Detection of Serve Actions in Tennis Videosegmentation of continuous tennis video possible. Then some segments can be chosen from the video segmented in this way as the highlights, for example tennis aces. The goal of this paper is to present a method of detecting serve actions as highlights in tennis videos. The proposed framework is based
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Omni-TransPose: Fusion of OmniPose and Transformer Architecture for Improving Action Detectioner architecture. We conducted experiments on the MPII dataset, using the Percentage of Correct Key Points (PCK) metric to evaluate the effectiveness of the new model. The experimental results were compared with the original OmniPose model, demonstrating a significant improvement in skeleton extracti
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