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Evolution in computational intelligence.Frontiers in Intelligent Computing : Theory and Applications (FICTA 2020) /Volume 1

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evolution in computational intelligence.edited by Vikrant Bhateja ... [et al.].
Reminder of title:	Frontiers in Intelligent Computing : Theory and Applications (FICTA 2020) /
remainder title:	FICTA 2022
other author:	Bhateja, Vikrant.
corporate name:
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xviii, 641 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computational intelligenceCongresses.
Online resource:	https://doi.org/10.1007/978-981-19-7513-4
ISBN:	9789811975134$q(electronic bk.)

Evolution in computational intelligence.Frontiers in Intelligent Computing : Theory and Applications (FICTA 2020) /Volume 1
Evolution in computational intelligence.Frontiers in Intelligent Computing : Theory and Applications (FICTA 2020) /Volume 1[electronic resource] :FICTA 2022edited by Vikrant Bhateja ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xviii, 641 p. :ill., digital ;24 cm. - Smart innovation, systems and technologies,v. 3262190-3026 ;. - Smart innovation, systems and technologies ;v.12..

SIFT Application Separates Motion Characteristics and Identifies Symbols on Tires -- Localization and classification of thoracic abnormalities from chest radiographs using deep ensemble model -- Comparative Study on Different Approaches for Understanding the Privacy Policies -- A framework for the development of Intrusion detection system using Deep Learning -- A Self Explainable Face Anti-Spoofing Solution based on Depth-Estimation -- A Naïve Approach for Mutation Detection using Color Encodings and String Matching Techniques -- Particulate Matter Concentration Estimation from Images Based on Convolution Neural Network -- Brain Tumor Prediction from MRI Images using an ensemble model based on EﬃcientNet-B2, B4, and ResNet34 architectures -- Automatic Abnormality Detection in Musculoskeletal Radiographs using Ensemble of Pre-trained Networks -- Ablation study of Indian Automatic Vehicle Number Plate Recognition model trained over Synthetic dataset -- An Approach of Hate Speech Identification on Twitter Corpus -- A Fuzzy C-Means Based Clustering Protocol to Improve QoS of Multi Sink WSNs -- A Descriptive Analysis of Reddit Comments using Data Analytics Approach -- Streamflow forecasting using novel ANFIS-GWO approach -- A Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Multimodal Optimization Processes -- A Survey on Medical Image Analysis Using Deep Learning -- Improving English-Assamese Neural Machine Translation using Transliteration-based Approach -- Prediction of Air Quality using Machine Learning -- Inter domain text classification: A hybrid approach -- Sentimental Analysis of Twitter Users' Text Using Machine Learning.

The book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 - 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.

ISBN: 9789811975134$q(electronic bk.)

Standard No.: 10.1007/978-981-19-7513-4doiSubjects--Topical Terms:

384502
Computational intelligence
--Congresses.

LC Class. No.: Q342 / .I58 2022

Dewey Class. No.: 006.3

Evolution in computational intelligence.Frontiers in Intelligent Computing : Theory and Applications (FICTA 2020) /Volume 1
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505 0 $a SIFT Application Separates Motion Characteristics and Identifies Symbols on Tires -- Localization and classification of thoracic abnormalities from chest radiographs using deep ensemble model -- Comparative Study on Different Approaches for Understanding the Privacy Policies -- A framework for the development of Intrusion detection system using Deep Learning -- A Self Explainable Face Anti-Spoofing Solution based on Depth-Estimation -- A Naïve Approach for Mutation Detection using Color Encodings and String Matching Techniques -- Particulate Matter Concentration Estimation from Images Based on Convolution Neural Network -- Brain Tumor Prediction from MRI Images using an ensemble model based on EﬃcientNet-B2, B4, and ResNet34 architectures -- Automatic Abnormality Detection in Musculoskeletal Radiographs using Ensemble of Pre-trained Networks -- Ablation study of Indian Automatic Vehicle Number Plate Recognition model trained over Synthetic dataset -- An Approach of Hate Speech Identification on Twitter Corpus -- A Fuzzy C-Means Based Clustering Protocol to Improve QoS of Multi Sink WSNs -- A Descriptive Analysis of Reddit Comments using Data Analytics Approach -- Streamflow forecasting using novel ANFIS-GWO approach -- A Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Multimodal Optimization Processes -- A Survey on Medical Image Analysis Using Deep Learning -- Improving English-Assamese Neural Machine Translation using Transliteration-based Approach -- Prediction of Air Quality using Machine Learning -- Inter domain text classification: A hybrid approach -- Sentimental Analysis of Twitter Users' Text Using Machine Learning.
520 $a The book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 - 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.
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