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Titlebook: Advances in Intelligent Computing Techniques and Applications; Intelligent Systems, Faisal Saeed,Fathey Mohammed,Yousef Fazea Conference pr

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發(fā)表于 2025-3-21 18:43:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Intelligent Computing Techniques and Applications
期刊簡稱Intelligent Systems,
影響因子2023Faisal Saeed,Fathey Mohammed,Yousef Fazea
視頻videohttp://file.papertrans.cn/168/167278/167278.mp4
發(fā)行地址Focuses on recent topics in data science, health informatics, intelligent systems, smart computing.Outcomes of the 7th International Conference of Reliable Information and Communication Technology IRI
學(xué)科分類Lecture Notes on Data Engineering and Communications Technologies
圖書封面Titlebook: Advances in Intelligent Computing Techniques and Applications; Intelligent Systems, Faisal Saeed,Fathey Mohammed,Yousef Fazea Conference pr
影響因子.This book presents the papers included in the proceedings of the 7th International Conference of Reliable Information and Communication Technology 2023 (IRICT 2023) that was held in Pulai Springs Resorts, Johor, Malaysia on 27-28, December 2023. IRICT 2023 is organized by the Yemeni Scientists Research Group (YSRG) and Big Data Center in Universiti Teknologi Malaysia (Malaysia) in collaboration with Association for Information Systems – Malaysia Chapter (MyAIS) and College of Engineering, IT and Environment at Charles Darwin University (Australia). IRICT2023 is a forum for the presentation of technological advances in the field of Information and Communication Technology. The main theme of the conference is “Advances in Intelligent Computing Techniques and Applications”. The book discusses several research topics such as Health Informatics, Artificial Intelligence, Soft Computing, Data Science, Big Data Analytics, Internet of Things (IoT), Intelligent Communication Systems, Cyber Security, and Information System. These papers were presented in three parallel sessions during the two days..
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Lecture Notes on Data Engineering and Communications Technologieshttp://image.papertrans.cn/b/image/167278.jpg
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Advances in Intelligent Computing Techniques and Applications978-3-031-59711-4Series ISSN 2367-4512 Series E-ISSN 2367-4520
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發(fā)表于 2025-3-22 15:50:18 | 只看該作者
Polarisation und Haftintensit?tiversally applicable guidelines for machine learning and deep learning practitioners to use when evaluating health information. This study seeks to address the gap by empirically identifying a set of tangible guidelines for assessing health information. Drawing from existing literature, we identifie
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Die Reduktions- und Oxydationskettenenue Prediction dataset as a case study. The dataset contains anonymized data from the Google Merchandise Store, an e-commerce site that sells Google-branded merchandise. We use the data to build and evaluate different machine learning models that predict the natural log of the revenue per customer
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發(fā)表于 2025-3-23 02:22:26 | 只看該作者
Die überführungszahlen von Hittorfatient care. In this study, we present a comprehensive analysis of brain tumor classification using a multi-modal MRI dataset comprising 17 distinct tumor classes. The dataset is split into training (60%), validation (20%), and testing (20%) sets, ensuring a robust evaluation of our proposed approac
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https://doi.org/10.1007/978-3-662-25666-4 number of such studies is relatively limited compared to those conducted on English or other Latin languages, indicating a research gap. In this paper, we propose a new approach to ASA based on the comments dataset of users of mobile applications available on the Google play store. The proposed app
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