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Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Harish Sharma,Vivek Shrivastava,Lipo Wang Conference proceedings 2024 The Edito

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書目名稱Communication and Intelligent Systems
副標(biāo)題Proceedings of ICCIS
編輯Harish Sharma,Vivek Shrivastava,Lipo Wang
視頻videohttp://file.papertrans.cn/243/242213/242213.mp4
概述Presents research works in the field of communication and intelligent systems.Includes original works presented at ICCIS 2023 held in Jaipur, India.Provides state of the art to research scholars and p
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Harish Sharma,Vivek Shrivastava,Lipo Wang Conference proceedings 2024 The Edito
描述This book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16–17, 2023. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes to make the latest results available in a single, readily accessible source. The work is presented in three volumes.
出版日期Conference proceedings 2024
關(guān)鍵詞Intelligent Systems; Communication and Control Systems; Artificial intelligence; Machine Learning; Patte
版次1
doihttps://doi.org/10.1007/978-981-97-2053-8
isbn_softcover978-981-97-2052-1
isbn_ebook978-981-97-2053-8Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Dynamic and Personalized Video Summarization Based on User Preferences,d approach performs exceptionally well with deep action-based features and rule-based features for better perception and understanding of user preferences and synchronization-selection of relevant video content. The results indicate promising performance of both models and present a standard and ben
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,Critiquing the Limitations’ Challenges in Detecting GAN-Generated Images with Computer Vision, to assess their efficacy in detecting these counterfeit images. We discovered that these computer technologies were not consistently effective. This study demonstrates the difficulty that computers encounter in detecting counterfeit graphics generated by other computers.
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,EDiTOK: Energy-Efficient Distributed Transmission Optimization-Based Kalman–Zlib Approaches for Monase the size of a given data set before transmitting them to the gateway node. Numerous experiments utilize actual sensor data from farming fields. The results demonstrate that the proposed EDiTOK approach achieved satisfactory results compared to other proposed methods regarding energy use, the qua
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A Convolutional Model to Generate Human and Anime Faces Using DCGAN,ncluding visual inspection, loss functions and the real and fake score of the discriminator model. The outcomes demonstrate that proposed working GAN design can generate good-quality anime and human face images that are visually similar to real images and exhibit diversity in terms of style, charact
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