Predictive Analytics in System Reliability
Series: Springer Series in Reliability Engineering;
- Publisher's listprice EUR 106.99
-
44 374 Ft (42 261 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 8 875 Ft off)
- Discounted price 35 499 Ft (33 809 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
44 374 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1st ed. 2023
- Publisher Springer International Publishing
- Date of Publication 10 September 2023
- Number of Volumes 1 pieces, Book
- ISBN 9783031053498
- Binding Paperback
- See also 9783031053467
- No. of pages282 pages
- Size 235x155 mm
- Weight 456 g
- Language English
- Illustrations XI, 282 p. 94 illus., 56 illus. in color. Illustrations, black & white 486
Categories
Long description:
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.
Table of Contents:
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).
More
