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Doctoral Symposium on Computational Intelligence (2022 :)

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Proceedings of Third Doctoral Symposium on Computational Intelligence = DOSCI 2022 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of Third Doctoral Symposium on Computational Intelligence/ edited by Ashish Khanna ... [et al.].
Reminder of title:	DOSCI 2022 /
remainder title:	DOSCI 2022
other author:	Khanna, Ashish.
corporate name:	Doctoral Symposium on Computational Intelligence
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xxxiv, 861 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-19-3148-2
ISBN:	9789811931482

Proceedings of Third Doctoral Symposium on Computational Intelligence = DOSCI 2022 /
Proceedings of Third Doctoral Symposium on Computational IntelligenceDOSCI 2022 /[electronic resource] :DOSCI 2022edited by Ashish Khanna ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xxxiv, 861 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 4792367-3389 ;. - Lecture notes in networks and systems ;v. 479..

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.

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.

ISBN: 9789811931482

Standard No.: 10.1007/978-981-19-3148-2doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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520 $a 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.
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