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Titlebook: Deep Sciences for Computing and Communications; First International Kottilingam Kottursamy,Ali Kashif Bashir,Annie Uth Conference proceedi

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發(fā)表于 2025-3-21 20:04:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Deep Sciences for Computing and Communications
副標(biāo)題First International
編輯Kottilingam Kottursamy,Ali Kashif Bashir,Annie Uth
視頻videohttp://file.papertrans.cn/265/264662/264662.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Deep Sciences for Computing and Communications; First International  Kottilingam Kottursamy,Ali Kashif Bashir,Annie Uth Conference proceedi
描述This book constitutes selected papers presented during the?First International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022, held in Chennai, India, in March 2022..The 27 papers presented were thoroughly reviewed and selected from 97 submissions. They are organized in topical sections as follows: ?classification and regression problems for communication paradigms; deep learning and vision computing; deep- recurrent neural network (RNN) for industrial informatics; extended AI for heterogeneous edge..
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; machine learning; decision trees; computer engineering; software design; support
版次1
doihttps://doi.org/10.1007/978-3-031-27622-4
isbn_softcover978-3-031-27621-7
isbn_ebook978-3-031-27622-4Series 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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Health Care Support for Elderly People in Resource Poor Areasother hand, the Healthcare industry is combating against workforce crisis due to inadequate infrastructure, shortage of doctors, specialists, and medical assistants. The phenomenal growth of computing and connectivity has redefined the Healthcare environment with the help of Information and Communic
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Finding Best Voting Classifier for Diabetic Disease Classificationt. Currently, while treating diabetes, hospitals gather required facts via suitable medical tests and appropriate treatment is administered primarily based on prognosis. Early detection of diabetes is important to prevent diabetes from progressing into a chronic illness. Machine learning helps to id
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An IoMT Based Prediction Model for Cardiac Monitoring Using Machine Learning Algorithmse observation of this monitoring is to enhance human fitness regardless of the situation. The Proposed Methodology is implemented on the benchmark University of California Irvine Dataset and various machine learning techniques are applied and the accuracy is calculated. The main objective of the res
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Circular BlockEntropies and Fast Legendre Moments Based Content Preserving Image Authentication a model using global and local entropies based on the content preserving image authentication. The images are sub-divided into equal-sized circular blocks and each block entropies are measured. These measured entropies locally define the information contained in the image on a circular basis. Momen
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