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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…mehr
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.
Dr.S.Smys received his M.E and Ph.D degrees all in Wireless Communication and Networking from Anna University and Karunya University, India. His main area of research activity is localization and routing architecture in wireless networks. He serves as Associate Editor of Computers and Electrical Engineering (C&EE) Journal, Elsevier and Guest Editor of MONET Journal, Springer. He is serving as Reviewer for IET, Springer, Inderscience and Elsevier journals. He has published many research articles in refereed journals and IEEE conferences. He has been General Chair, Session Chair, TPC Chair and Panelist in several conferences. He is Member of IEEE and Senior Member of IACSIT wireless research group. He has been serving as Organizing Chair and Program Chair of several International conferences, and in the Program Committees of several International conferences. Currently, he is working as professor in the Department of Information Technology at RVS technical Campus, Coimbatore, India. João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal, in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001 and attained his Habilitation in Mechanical Engineering in 2015. He is Senior Researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and Associate Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP). João Tavares is Co-Editor of more than 60 books, Co-Author of more than 50 book chapters, 650 articles in international and national journals and conferences and 3 international and 3 national patents. He has been Committee Member of several international and national journals and conferences, is Co-Founder and Co-Editor of the book series “Lecture Notes in Computational Vision and Biomechanics” published by Springer, Founder and Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization” published by Taylor & Francis, Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering” published by Taylor & Francis and Co-Founder and Co-Chair of the international conference series: CompIMAGE, ECCOMAS VipIMAGE, ICCEBS and BioDental. Additionally, he has been (Co-)Supervisor of several M.Sc. and Ph.D. thesis and Supervisor of several post-doc projects and has participated in many scientific projects both as Researcher and as Scientific Coordinator. His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human–computer interaction and new product development.
Dr. Valentina E. Balas is currently Full Professor at “Aurel Vlaicu” University of Arad, Romania. She is Author of more than 300 research papers. Her research interests are in intelligent systems, fuzzy control and soft computing. She is Editor-in-Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to IJCSE. Dr. Balas is Member of EUSFLAT, ACM and a SM IEEE, Member in TC – EC and TC-FS (IEEE CIS), TC – SC (IEEE SMCS) and Joint Secretary FIM.
Inhaltsangabe
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.
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.
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.
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.
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