Computational Vision and Bio-Inspired Computing : Proceedings of ICCVBIC 2021
Computational Vision and Bio-Inspired Computing : Proceedings of ICCVBIC 2021
edited by S. Smys, João Manuel R. S. Tavares, Valentina Emilia Balas
- First edition 2022
- 1 recurso en línea (XVIII, 893 páginas) 508 ilustraciones, 365 ilustraciones a color
- Advances in Intelligent Systems and Computing 1420 2194-5365 .
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.
9789811695735
10.1007/978-981-16-9573-5 doi
Visión por ordenador
Biónica
Algoritmos bioinspirados
TA1634 / 2022 EB
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.
9789811695735
10.1007/978-981-16-9573-5 doi
Visión por ordenador
Biónica
Algoritmos bioinspirados
TA1634 / 2022 EB