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Titlebook: Applied Machine Learning and Data Analytics; 6th International Co M. A. Jabbar,Sanju Tiwari,Tasneem Bano Rehman Conference proceedings 2024

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發(fā)表于 2025-3-21 19:19:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Machine Learning and Data Analytics
期刊簡(jiǎn)稱6th International Co
影響因子2023M. A. Jabbar,Sanju Tiwari,Tasneem Bano Rehman
視頻videohttp://file.papertrans.cn/160/159913/159913.mp4
學(xué)科分類Communications in Computer and Information Science
圖書(shū)封面Titlebook: Applied Machine Learning and Data Analytics; 6th International Co M. A. Jabbar,Sanju Tiwari,Tasneem Bano Rehman Conference proceedings 2024
影響因子This book constitutes the refereed conference proceedings of the 6th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2023, held in Lübeck, Germany, during November 9–10, 2023..The 17 full papers and 2 short papers presented in this book were carefully reviewed and selected from 76 submissions. The main conference AMLDA 2023 is renowned for presenting cutting-edge research on all aspects of machine learning as well as important application areas such as healthcare and medical imaging informatics, biometrics, forensics, precision agriculture, risk management, robotics, and satellite imaging..
Pindex Conference proceedings 2024
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Ergodic Theorems for Densities,vices, augmented reality offers immersive internet experiences with greater capabilities. The Metaverse fosters realism, facilitating remote cooperation, immersive digital environments, enhanced interactions, and more. This paper proposes that the metaverse needs to prioritize human-centricity. In t
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https://doi.org/10.1007/978-1-4419-7970-4nd profit. Blockchain innovation has acquired an interest in the course recently. The most important issue about this is currency exchange, but its application is not restricted to only Digital currency. This technology has the potential to influence different business sectors. Blockchain has brough
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Entropy and the Tao of Countingces threats from a variety of leaf diseases, leading to substantial reduction in yield. Prompt and precise identification of these diseases is essential for implementing effective countermeasures and maintaining adequate food supply. Recently, deep learning methodologies have demonstrated remarkable
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https://doi.org/10.1007/978-3-030-35457-2on process. There may be hundreds or thousands of unstructured and heterogeneous reviews for a popular product. Traditional text processing techniques have limited capability in extracting opinions on customers’ product reviews from huge data over the Internet. Although lexical approaches aim to map
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