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Titlebook: Computational Vision and Bio-Inspired Computing; Proceedings of ICCVB S. Smys,João Manuel R. S. Tavares,Valentina Emilia Conference proceed

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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,Valentina Emilia
视频video
概述Presents research works in the field of computational vision and bio-inspired computing.Discusses results of ICCVBIC 2021 held in Coimbatore, India.Serves as a reference for researchers and practition
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,Valentina Emilia Conference proceed
描述This book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25–26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the 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. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
出版日期Conference proceedings 2022
关键词Bioinformatics; Evolutionary Computing; Capsule Networks; Ambient Intelligence; Computational Neuro Scie
版次1
doihttps://doi.org/10.1007/978-981-16-9573-5
isbn_softcover978-981-16-9572-8
isbn_ebook978-981-16-9573-5Series 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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The Risch Differential Equation,r, in-vivo studies can be performed on Tanshinone-II A for clinical use of the compound. In the above study, Miransertib (ARQ 092) was used as a positive control since it has recently shown to have a therapeutic effect on a teenager with Proteus syndrome and ovarian carcinoma.
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Molecular Docking Analysis of Selected Phytochemicals for the Treatment of Proteus Syndrome,r, in-vivo studies can be performed on Tanshinone-II A for clinical use of the compound. In the above study, Miransertib (ARQ 092) was used as a positive control since it has recently shown to have a therapeutic effect on a teenager with Proteus syndrome and ovarian carcinoma.
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Computer Vision and Machine Learning-Based Techniques for Detecting the Safety Violations of COVID-machine learning-based technological solutions for controlling the spread of the disease. It also discusses some challenges and future perspectives in developing systems for monitoring the COVID-19 safety violations.
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https://doi.org/10.1007/978-3-319-33365-6 of computation, the proposed method outperforms in all aspects. In this paper, both the losses of transmission and valve-point effects are considered for various test systems with 13, 40, and 10 generators.
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https://doi.org/10.1007/978-1-4615-3190-6, support vector machine (SVM). In this model, RAVDESS dataset is used which is simulated emotions narrated by professionals. In this paper, it not only concludes the individual classifier outputs, but also comparison between the classifiers has been compared.
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