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Titlebook: Advanced Communication and Intelligent Systems; Second International Rabindra Nath Shaw,Marcin Paprzycki,Ankush Ghosh Conference proceeding

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發(fā)表于 2025-3-21 18:17:06 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advanced Communication and Intelligent Systems
期刊簡稱Second International
影響因子2023Rabindra Nath Shaw,Marcin Paprzycki,Ankush Ghosh
視頻videohttp://file.papertrans.cn/146/145310/145310.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Advanced Communication and Intelligent Systems; Second International Rabindra Nath Shaw,Marcin Paprzycki,Ankush Ghosh Conference proceeding
影響因子This book constitutes the refereed proceedings of the Second International Conference?on?Advanced Communication and Intelligent Systems,?ICACIS 2023, held in Warsaw, Poland,?during?June 16–17, 2023.The 22 full papers included in this book were carefully reviewed and?selected from?221?submissions. They were organized in topical sections as follows:?Wireless Communication, Artificial Intelligence and Machine Learning, Robotics & Automation, Data Science, IoT and Smart Applications.
Pindex Conference proceedings 2023
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Conclusion: Our Secrets Behind the Cloudlyzes the contributions made by each extracted feature under both ideal and realistic (noisy environment) circumstances. The proposed system provides a non-invasive and accurate way to assist in the diagnosis of Parkinson’s disease, allowing for earlier interventions and better outcomes.
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Antonie Dole?alová,Catherine Albrechtpect to the standard classification and typology of the obtained color terms and are analyzed concerning the modifier’s semantic features. The related conclusions imply both the specific and global cultural context of terms’ formation and usages.
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https://doi.org/10.1007/978-3-662-64502-4ich Machine Learning algorithms are optimal for breast cancer detection made possible by the use of machine learning, this study will examine the various phases of breast cancer, examine datasets, and assess supervised Machine Learning algorithms. The outcome demonstrates that the decision tree’s accuracy is superior to the K-nearest neighbor.
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