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Titlebook: Deep Sciences for Computing and Communications; Second International Annie Uthra R.,Kottilingam Kottursamy,Vimaladevi M Conference proceedi

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發(fā)表于 2025-3-21 16:57:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Deep Sciences for Computing and Communications
副標(biāo)題Second International
編輯Annie Uthra R.,Kottilingam Kottursamy,Vimaladevi M
視頻videohttp://file.papertrans.cn/285/284504/284504.mp4
叢書(shū)名稱Communications in Computer and Information Science
圖書(shū)封面Titlebook: Deep Sciences for Computing and Communications; Second International Annie Uthra R.,Kottilingam Kottursamy,Vimaladevi M Conference proceedi
描述.This two-volume set, CCIS 2176-2177, constitutes the proceedings from the Second International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2023, held in Chennai, India, in April 2023...?..The 74 full papers and 8 short papers presented here were thoroughly reviewed and selected from 252 submissions.?The papers presented in these two volumes are organized in the following topical sections:..Part I:?Applications of Block chain for Digital Landscape;?Deep Learning approaches for Multipotent Application;?Machine Learning Techniques for Intelligent Applications;?Industrial use cases of IOT; NLP for Linguistic Support; Convolution Neural Network for Vision Applications.? ? ? ? ? ?..?..Part II:?Optimized Wireless Sensor Network Protocols;?Cryptography Applications for Enhanced Security;?Implications of Networking on Society;?Deep Learning Model for Health informatics;?Web Application for Connected Communities;?Intelligent Insights using Image Processing;?Precision Flood Prediction Models.? ? ? ? ? ? ?.? ? ? ? ? ?.? ? ? ? ? ?.?.
出版日期Conference proceedings 2024
關(guān)鍵詞Computing methodologies; Artificial intelligence ; Machine learning; Mathematics of computing ; Probabil
版次1
doihttps://doi.org/10.1007/978-3-031-68905-5
isbn_softcover978-3-031-68904-8
isbn_ebook978-3-031-68905-5Series 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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etails are encrypted, and hash is stored in IPFS, but the catch here is the encryption will be done in a way that necessary details will be revealed for distinguishing complaint A from B, but the complainant or defendant identity is not revealed either to the police officials or to anybody having vi
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sted approach is successful in preserving the security and reliability of electronic voting systems..The proposed system’s use of blockchain technology and Solidity programming language provides many benefits, including transparency, immutability, and privacy. This research paper contributes to the
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to determine if the news is authentic or false. The most of the model only examines dataset of fake news in english to determine if it is true or fake, but CB-Fake approach is expanded to incorporate datasets of fake news in other widely used languages, such as Tamil. Robustly Optimized BERT Pre-tra
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,Sich selbst und Mitarbeitende führen,this paper, deep learning model is developed to identify a drowning person. The network architecture used for creating the deep learning algorithm is Convolutional Neural Networks (CNN). Conv2dLSTM is used as a convolution layer in the CNN architecture that proves to have better efficiency for the p
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