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Soft computing = theories and applic...
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International Conference on Soft Computing: Theories and Applications (2017 :)
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Soft computing = theories and applications : proceedings of SoCTA 2017 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Soft computing/ edited by Kanad Ray ... [et al.].
Reminder of title:
theories and applications : proceedings of SoCTA 2017 /
remainder title:
SoCTA 2017
other author:
Ray, Kanad.
corporate name:
International Conference on Soft Computing: Theories and Applications
Published:
Singapore :Springer Singapore : : 2019.,
Description:
xx, 729 p. :ill., digital ;24 cm.
[NT 15003449]:
Chapter 1: An Analysis of Authors productivity in RFID & Supply Chain Management -- Chapter 2: Meta Heuristic Techniques Study for Fault Tolerant in Cloud Computing Environment: A Survey Work -- Chapter 3: Complexity Metrics for Component Based Software System -- Chapter 4: DESIGN AND ANALYSIS OF ON-CHIP LOW POWER, LOW DROP-OUT VOLTAGE REGULATOR using FFRC and MCC Techniques -- Chapter 5: Study and Analysis of Back-Propagation Approach in Artificial Neural Network using HOG Descriptor for Real-time Object Classification -- Chapter 6: Identification of relevant stochastic input variables for prediction of daily PM10 using Artificial Neural Networks -- Chapter 7: Field based Weighting Information Retrieval on Document field of Ad hoc dataset.
Contained By:
Springer eBooks
Subject:
Soft computing - Congresses. -
Online resource:
https://doi.org/10.1007/978-981-13-0589-4
ISBN:
9789811305894
Soft computing = theories and applications : proceedings of SoCTA 2017 /
Soft computing
theories and applications : proceedings of SoCTA 2017 /[electronic resource] :SoCTA 2017edited by Kanad Ray ... [et al.]. - Singapore :Springer Singapore :2019. - xx, 729 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.7422194-5357 ;. - Advances in intelligent systems and computing ;v.742..
Chapter 1: An Analysis of Authors productivity in RFID & Supply Chain Management -- Chapter 2: Meta Heuristic Techniques Study for Fault Tolerant in Cloud Computing Environment: A Survey Work -- Chapter 3: Complexity Metrics for Component Based Software System -- Chapter 4: DESIGN AND ANALYSIS OF ON-CHIP LOW POWER, LOW DROP-OUT VOLTAGE REGULATOR using FFRC and MCC Techniques -- Chapter 5: Study and Analysis of Back-Propagation Approach in Artificial Neural Network using HOG Descriptor for Real-time Object Classification -- Chapter 6: Identification of relevant stochastic input variables for prediction of daily PM10 using Artificial Neural Networks -- Chapter 7: Field based Weighting Information Retrieval on Document field of Ad hoc dataset.
The book focuses on soft computing and its applications to solve real-world problems occurring in different domains ranging from medicine and healthcare, and supply chain management to image processing and cryptanalysis. It includes high-quality papers presented in the International Conference on Soft Computing: Theories and Applications (SoCTA 2017), organized by Bundelkhand University, Jhansi, India. Offering significant insights into soft computing for teachers and researchers alike, the book inspires more researchers to work in the field of soft computing.
ISBN: 9789811305894
Standard No.: 10.1007/978-981-13-0589-4doiSubjects--Topical Terms:
606821
Soft computing
--Congresses.
LC Class. No.: QA76.9.S63
Dewey Class. No.: 006.3
Soft computing = theories and applications : proceedings of SoCTA 2017 /
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Chapter 1: An Analysis of Authors productivity in RFID & Supply Chain Management -- Chapter 2: Meta Heuristic Techniques Study for Fault Tolerant in Cloud Computing Environment: A Survey Work -- Chapter 3: Complexity Metrics for Component Based Software System -- Chapter 4: DESIGN AND ANALYSIS OF ON-CHIP LOW POWER, LOW DROP-OUT VOLTAGE REGULATOR using FFRC and MCC Techniques -- Chapter 5: Study and Analysis of Back-Propagation Approach in Artificial Neural Network using HOG Descriptor for Real-time Object Classification -- Chapter 6: Identification of relevant stochastic input variables for prediction of daily PM10 using Artificial Neural Networks -- Chapter 7: Field based Weighting Information Retrieval on Document field of Ad hoc dataset.
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Intelligent Technologies and Robotics (Springer-42732)
based on 0 review(s)
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W9374846
電子資源
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EB QA76.9.S63
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