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Predictive analytics in system reliability

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predictive analytics in system reliabilityedited by Vijay Kumar, Hoang Pham.
other author:	Kumar, Vijay.
Published:	Cham :Springer International Publishing :2023.
Description:	xi, 282 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Decision makingStatistical methods.
Online resource:	https://doi.org/10.1007/978-3-031-05347-4
ISBN:	9783031053474$q(electronic bk.)

Predictive analytics in system reliability
Predictive analytics in system reliability[electronic resource] /edited by Vijay Kumar, Hoang Pham. - Cham :Springer International Publishing :2023. - xi, 282 p. :ill., digital ;24 cm. - Springer series in reliability engineering,2196-999X. - Springer series in reliability engineering..

Chapter 1. Deep Learning Approach for the Reliability Assessment of Cloud and Edge Open Source Software (Hironobu SONE) -- Chapter 2. Parameter Estimation of Software Reliability Growth Models using Mayfly Optimization (Ankur Choudhary) -- Chapter 3. Study of Automation of Test Generation using Genetic Algorithm Approach (Sonali Vyas) -- Chapter 4. Measuring and evaluating big data factors in an enterprise using fuzzy based MOORA and Best Worst Method (Abhishek Srivastava) -- Chapter 5. Reliability assessment and profit analysis of automated teller machine system under copular repair policy (Ibrahim Yusuf) -- Chapter 6. Entropy-Based Mathematical Modeling for Software Evolution (V.B.Singh)-Chapter 7. Development of Reliability Block Diagram (RBD) Model for Reliability Analysis of a Steam Boiler System (Suyog S. Patil) -- Chapter 8. Prediction of software failure using fuzzy time series method (Mohamed Ashik. A) -- Chapter 9. Big Data Quality Management System (Yury Klochkov)-Chapter 10. A Deep Analysis of Bad Smells using Machine Learning Classifiers (Aakanshi Gupta) -- Chapter 11. Multi-Criterion Intuitionistic Fuzzy-TOPSIS Based Analysis for Software Quality Metric (Adarsh Anand)-Chapter 12. Reliability Allocation and Sensitivity Assessment of Solar Air Conditioner from Markov Process (Akshay Kumar) -- Chapter 13. Design and Development of Question Answering System using Named Entity Recognition (NER) (Abhijit Kumar) -- Chapter 14. Multi-attribute utility functions based strategic decision for software release time optimization (Vishal Pradhan) -- Chapter 15. Empirical Evaluation of Code Bad Smells in Open-Source Software using Machine learning technique (Stuti Tandon) -- Chapter 16. Reliability optimization of a system stand by system using PSO technique (Mangey Ram) -- Chapter 17. Probabilistic model for the availability analysis of the milling section of rice mill plant (Ibrahim Yusuf) -- Chapter 18. An Opportunistic Maintenance Model of Load Sharing Systems with PM and Minimal Repairs (Maryam Arabzadeh)

This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to students learning reliability engineering. The book brings readers up to date with how system reliability relates to the latest techniques of AI, big data, genetic algorithm, information theory, and multi-criteria decision making and points toward future developments in the subject.

ISBN: 9783031053474$q(electronic bk.)

Standard No.: 10.1007/978-3-031-05347-4doiSubjects--Topical Terms:

208497
Decision making
--Statistical methods.

LC Class. No.: HD3023

Dewey Class. No.: 620.00452

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505 0 $a Chapter 1. Deep Learning Approach for the Reliability Assessment of Cloud and Edge Open Source Software (Hironobu SONE) -- Chapter 2. Parameter Estimation of Software Reliability Growth Models using Mayfly Optimization (Ankur Choudhary) -- Chapter 3. Study of Automation of Test Generation using Genetic Algorithm Approach (Sonali Vyas) -- Chapter 4. Measuring and evaluating big data factors in an enterprise using fuzzy based MOORA and Best Worst Method (Abhishek Srivastava) -- Chapter 5. Reliability assessment and profit analysis of automated teller machine system under copular repair policy (Ibrahim Yusuf) -- Chapter 6. Entropy-Based Mathematical Modeling for Software Evolution (V.B.Singh)-Chapter 7. Development of Reliability Block Diagram (RBD) Model for Reliability Analysis of a Steam Boiler System (Suyog S. Patil) -- Chapter 8. Prediction of software failure using fuzzy time series method (Mohamed Ashik. A) -- Chapter 9. Big Data Quality Management System (Yury Klochkov)-Chapter 10. A Deep Analysis of Bad Smells using Machine Learning Classifiers (Aakanshi Gupta) -- Chapter 11. Multi-Criterion Intuitionistic Fuzzy-TOPSIS Based Analysis for Software Quality Metric (Adarsh Anand)-Chapter 12. Reliability Allocation and Sensitivity Assessment of Solar Air Conditioner from Markov Process (Akshay Kumar) -- Chapter 13. Design and Development of Question Answering System using Named Entity Recognition (NER) (Abhijit Kumar) -- Chapter 14. Multi-attribute utility functions based strategic decision for software release time optimization (Vishal Pradhan) -- Chapter 15. Empirical Evaluation of Code Bad Smells in Open-Source Software using Machine learning technique (Stuti Tandon) -- Chapter 16. Reliability optimization of a system stand by system using PSO technique (Mangey Ram) -- Chapter 17. Probabilistic model for the availability analysis of the milling section of rice mill plant (Ibrahim Yusuf) -- Chapter 18. An Opportunistic Maintenance Model of Load Sharing Systems with PM and Minimal Repairs (Maryam Arabzadeh)
520 $a This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to students learning reliability engineering. The book brings readers up to date with how system reliability relates to the latest techniques of AI, big data, genetic algorithm, information theory, and multi-criteria decision making and points toward future developments in the subject.
650 0 $a Decision making $x Statistical methods. $3 208497
650 0 $a Management $x Statistical methods. $3 185268
650 0 $a Predictive control. $3 182316
650 0 $a Reliability (Engineering) $3 182677
650 1 4 $a Mathematical Modeling and Industrial Mathematics. $3 274070
650 2 4 $a Risk Management. $3 297189
650 2 4 $a Industrial Management. $3 910688
700 1 $a Kumar, Vijay. $3 276571
700 1 $a Pham, Hoang. $3 260639
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830 0 $a Springer series in reliability engineering. $3 557674
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