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Titlebook: Computational Vision and Bio-Inspired Computing; Proceedings of ICCVB S. Smys,João Manuel R. S. Tavares,Fuqian Shi Conference proceedings 2

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发表于 2025-3-21 19:21:49 | 显示全部楼层 |阅读模式
书目名称Computational Vision and Bio-Inspired Computing
副标题Proceedings of ICCVB
编辑S. Smys,João Manuel R. S. Tavares,Fuqian Shi
视频video
概述Presents recent research in the field of bio-inspired computing.Discusses the outcomes of ICCVBIC 2022, held in Coimbatore, India.Serves as a reference resource for researchers and practitioners in ac
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Computational Vision and Bio-Inspired Computing; Proceedings of ICCVB S. Smys,João Manuel R. S. Tavares,Fuqian Shi Conference proceedings 2
描述This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems..
出版日期Conference proceedings 2023
关键词Bioinformatics; Evolutionary Computing; Capsule Networks; Ambient Intelligence; Computational Neuro Scie
版次1
doihttps://doi.org/10.1007/978-981-19-9819-5
isbn_softcover978-981-19-9818-8
isbn_ebook978-981-19-9819-5Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Lecture Notes in Computer Science machine learning algorithm is used for Classification. The comparative analysis of features extraction using DWT + KSVM, DWT + Otsu + KSVM, and DWT + Otsu + Kmeans + KSVM is done. The proposed model DWT + Otsu + Kmeans + KSVM gives promising results compared to the prior two approaches.
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Review of Machine Learning-Based Disease Diagnosis and Severity Estimation of COVID-19,c search of online research databases including Google Scholar, PubMed, and Web of Science was conducted in accordance with the “Preferred Reporting Items for Systematic Reviews and Meta-Analysis” guidelines. The word “machine learning” was combined with COVID-19-specific keywords to construct the search syntax.
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,Using Inception Modules to Improve the Accuracy of Image Classification,icine, and advertising. In this paper, the authors attempt to use inception modules to improve the accuracy of image classification. They come forward with a model based on inception modules that significantly improve the accuracy of baseline models.
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Random Matrix Theory Application for Denoising Gene Co-expression Data,s correlations are eliminated and only strongly correlated elements are retained and the network transitions to a system of highly correlated genes as described by the Poisson statistics of RMT which can be used for further analysis.
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