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Computational vision and bio-inspired computingproceedings of ICCVBIC 2021 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational vision and bio-inspired computingedited by S. Smys, Joao Manuel R. S. Tavares, Valentina Emilia Balas.
其他題名:	proceedings of ICCVBIC 2021 /
其他題名:	ICCVBIC 2021
其他作者:	Smys, S.
團體作者:
出版者:	Singapore :Springer Singapore :2022.
面頁冊數:	xviii, 893 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computer vision
電子資源:	https://doi.org/10.1007/978-981-16-9573-5
ISBN:	9789811695735$q(electronic bk.)

Computational vision and bio-inspired computingproceedings of ICCVBIC 2021 /
Computational vision and bio-inspired computingproceedings of ICCVBIC 2021 /[electronic resource] :ICCVBIC 2021edited by S. Smys, Joao Manuel R. S. Tavares, Valentina Emilia Balas. - Singapore :Springer Singapore :2022. - xviii, 893 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v. 14202194-5365 ;. - Advances in intelligent systems and computing ;176..

Molecular Docking Analysis of Selected Phytochemicals for The Treatment of Proteus Syndrome -- A Deep Learning Based Detection of Wrinkles on Skin -- Image Transmission using Leach and Security using RSA in Wireless Sensor Networks -- Code Injection Prevention in Content Management Systems using Machine Learning -- A Review of Hyperspectral Image Classification with various Segmentation approaches based on Labelled Samples -- Improvements in user Targeted Offline Advertising using CNN and Deviation-based Queue Scheduling -- Movie Recommendation System using Hybrid Collaborative filtering Model -- Hybrid Pipeline Infinity Laplacian Plus Convolutional Stage Applied to Depth Completion -- A Novel approach of DEMOO with SLA Algorithm to predict Protein Interactions -- Economic Load Dispatch Problem with valve point loading effect using DNLP optimization using GAMS -- Solar Radio Spectrum Classification based on ConvLSTM -- Particle Swarm Optimization -based Neural Network for Wireless Heterogeneous Networks -- Impact Analysis of Covid-19 on various Indian Sectors.

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.

ISBN: 9789811695735$q(electronic bk.)

Standard No.: 10.1007/978-981-16-9573-5doiSubjects--Topical Terms:

253837
Computer vision

LC Class. No.: TA1634 / .I57 2021

Dewey Class. No.: 006.37

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520 $a 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.
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