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Titlebook: Proceedings of International Conference on Data, Electronics and Computing; ICDEC 2023, Volume 2 Nibaran Das,Ajoy Kumar Khan,Debotosh Bhatt

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書目名稱Proceedings of International Conference on Data, Electronics and Computing
副標題ICDEC 2023, Volume 2
編輯Nibaran Das,Ajoy Kumar Khan,Debotosh Bhattacharjee
視頻videohttp://file.papertrans.cn/765/764513/764513.mp4
概述Presents recent research in data electronics and computing.Discusses the outcomes of ICDEC 2023, held in Aizawl, India.Serves as a reference resource for researchers and practitioners in academia and
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Proceedings of International Conference on Data, Electronics and Computing; ICDEC 2023, Volume 2 Nibaran Das,Ajoy Kumar Khan,Debotosh Bhatt
描述.This book features high-quality, peer-reviewed research papers presented at the International Conference on Data Electronics and Computing (ICDEC 2023) organized by Department of Computer Science & Engineering, Mizoram University (A Central University) Aizawl, India & Department of Computer Science & Engineering, National Institute of Technology Mizoram Aizawl, India during 15 – 16 December 2023. The book covers topics in communication, networking and security, image, video and signal processing; cloud computing, IoT and smart city, AI/ML, big data and data mining, VLSI design, antenna, and microwave and.control..
出版日期Conference proceedings 2024
關鍵詞Signal Processing; Machine Learning; Data Science; Computer Networks; Communication; Microwave and Antenn
版次1
doihttps://doi.org/10.1007/978-981-97-6489-1
isbn_softcover978-981-97-6488-4
isbn_ebook978-981-97-6489-1Series 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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NVF and CSF Based Image Watermarking Using SVD and Contourlet Transform,nique blend of the two transforms. The analysis of imperceptibility has been done with respect to a number of previous standard works, along with checking for robustness and results after applying the popular attacks.
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Video Indexing Through QR Code of Human Faces Using MTCNN Algorithm, has several different approaches. Still, all the methods are not efficient in detecting a face from video because of directional changes of the face, the brightness of the face image, illuminations of face images, etc. Also, if there is a method for efficient detection, there is a lack of compact r
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Efficient Deep Learning Inference Engine on SoC Platform,olves various computationally intensive mathematical operations like convolution, multiplication, etc.?These complex computations not only consume large hardware resources?but also increase the latency. Various Deep Network models like LeNet, GoogleNet, VGGNet, AlexNet, etc. have the same operationa
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