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Proceedings of Third Doctoral Symposium on Computational Intelligence

DoSCI 2022

Specificaties
Paperback, blz. | Engels
Springer Nature Singapore | e druk, 2022
ISBN13: 9789811931475
Rubricering
Springer Nature Singapore e druk, 2022 9789811931475
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

This book features high-quality research papers presented at Third Doctoral Symposium on Computational Intelligence (DoSCI 2022), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 5, 2022. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high performance computing, biomedical computing, and decision support and decision making.

Specificaties

ISBN13:9789811931475
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore

Inhoudsopgave

TransCRF - Hybrid Approach for Adverse Event Extraction.- Process of Recognition of Plant Diseases by Using Hue Histogram, K-Means Clustering and Forward-Propagation Deep Neural Networks.- Analysis of Variants of BERT and Big Bird on Question Answering Datasets in the Context of Scientific Research Article Reviews.- Twitter Opinion Mining on COVID-19 Vaccinations by Machine Learning Presence.- Blockchain-Based Efficient and Secured Framework for Logistics Management.- Blockchain-Based Framework to Handle Security & Privacy for IoT System.- Knowledge Management using Blockchain Technology for Digital Resources.- Blockchain Mechanism for Resolving Privacy Issues in a Smart City.- Design and Analysis of 50 Channel by 40 Gbps DWDM RoF System for 5G Communication Based on Fronthsul Scenario.- A Semantic Approach to Data Integration from Clinical Polystore.- Service Matter Judgement Prediction using Machine Learning.- Predicting Smart Building Occupancy using Machine Learning.- Formal Specification of Dynamic Load Based Coordinator Selection Algorithm with Recovery in Distributed Systems.<p></p>

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        Proceedings of Third Doctoral Symposium on Computational Intelligence