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Titlebook: Second International Conference on Image Processing and Capsule Networks; ICIPCN 2021 Joy Iong-Zong Chen,João Manuel R. S. Tavares,Ke-Li Co

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书目名称Second International Conference on Image Processing and Capsule Networks
副标题ICIPCN 2021
编辑Joy Iong-Zong Chen,João Manuel R. S. Tavares,Ke-Li
视频video
概述Presents recent research on image processing and capsule networks.Includes proceedings of the International Conference on Image Processing and Capsule Networks (ICIPCN2021).Shows how to discover more
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Second International Conference on Image Processing and Capsule Networks; ICIPCN 2021 Joy Iong-Zong Chen,João Manuel R. S. Tavares,Ke-Li Co
描述.This book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated with image processing domain to enhance its adaptiveness, reliability, accuracy and efficiency. With the advent of intelligent technologies like machine learning especially deep learning, the imaging system can make decisions more and more accurately. Moreover, the application of deep learning will also help to identify the hidden information in volumetric images. Nevertheless, capsule network, a type of deep neural network, is revolutionizing the image processing domain; it is still in a research and development phase. In this perspective, this book includes the state-of-the-art research works that integrate intelligent techniques with image processing models, and also, it reports the recent advancements in image processing techniques. Also, this book includes the novel tools and techniques for deploying real-ti
出版日期Conference proceedings 2022
关键词Image Processing; Capsule Networks; Artificial Neural Networks; Neuro-fuzzy control; Genetic Algorithms;
版次1
doihttps://doi.org/10.1007/978-3-030-84760-9
isbn_softcover978-3-030-84759-3
isbn_ebook978-3-030-84760-9Series 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 Switzerl
The information of publication is updating

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Angela Maria Vinod,Dharathi Venkatesh,Dishti Kundra,N. Jayapandianlearning. Yet, it has been criticized for a number of shortcomings and specifically its lack of support for comprehensive adaptation features. We propose concrete extensions to the specification, which address a wide range of problems and omissions. The most important areas of modifications and amen
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