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Titlebook: Recent Challenges in Intelligent Information and Database Systems; 15th Asian Conferenc Ngoc Thanh Nguyen,Siridech Boonsang,Ali Selamat Con

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發(fā)表于 2025-3-21 17:10:26 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Recent Challenges in Intelligent Information and Database Systems
副標(biāo)題15th Asian Conferenc
編輯Ngoc Thanh Nguyen,Siridech Boonsang,Ali Selamat
視頻videohttp://file.papertrans.cn/824/823092/823092.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Recent Challenges in Intelligent Information and Database Systems; 15th Asian Conferenc Ngoc Thanh Nguyen,Siridech Boonsang,Ali Selamat Con
描述This book constitutes the second part of the proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, held in Phuket, Thailand, during July 24–26, 2023..The 50 full papers included in this book were carefully reviewed and selected from 224 submissions. They were organized in topical sections as follows: Computer Vision, Cybersecurity and Fraud Detection, Data Analysis, Modeling, and Processing, Data Mining and Machine Learning, Forecasting and Optimization Techniques, Healthcare and Medical Applications, Speech and Text Processing..?.
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; computational linguistics; computer vision; correlation analysis; data mining; d
版次1
doihttps://doi.org/10.1007/978-3-031-42430-4
isbn_softcover978-3-031-42429-8
isbn_ebook978-3-031-42430-4Series 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 Switzerl
The information of publication is updating

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Image-Based Reliable Object Localization of UAV Cooperating with Ground Vehicle, and suspect tracking. To this end, a number of research have been conducted but there is inherent limitation due to camera distortion or diverse geographical features. In this paper, we utilize the location of ground vehicle and the distance from target object to estimate the location of target. T
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Images Retrieval and Classification for Acute Myeloid Leukemia Blood Cell Using Deep Metric Learningn-based similar images based on prior knowledge. Although train examiners and deep learning models successfully analyze leukocyte cells, there are still numerous difficult challenges due to biological variation, time constraints, and a variety of image-related aspects. In this study, we propose a de
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Superior Automatic Screening for Human Helminthic Ova by Using Self-supervised Learning Approach-Basion is a gold standard method and often used to identify the helminth ova and filariform larvae and also protozoa cyst in stool-dependent simple smear. The benefits of traditional techniques are diminished by time-consuming, complicated procedures, massive labor, and skilled and trained parasitologi
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Reciprocal Points Learning Based Unknown DDoS Attacks Detectionher accelerated this trend by driving the demand for online services such as remote work, virtual meetings, and online events. However, this increasing dependence on the Internet has also made us vulnerable to various cyber threats, particularly DDoS attacks, which have become a serious issue. For t
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