Reliability Engineering for Industrial Processes An Analytics Perspective /
This book explores how transformative changes driven by the new-age economy can bring about improvements in a company's engineering and manufacturing capabilities. The new-age economy is driven by advanced engineering and manufacturing practices, processes, and technologies, including the Inter...
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| Yhteisötekijä: | |
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| Muut tekijät: | , , , |
| Aineistotyyppi: | Elektroninen E-kirja |
| Kieli: | englanti |
| Julkaistu: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Painos: | 1st ed. 2024. |
| Sarja: | Springer Series in Reliability Engineering,
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| Aiheet: | |
| Linkit: | https://doi.org/10.1007/978-3-031-55048-5 |
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Sisällysluettelo:
- Comparison of OSS Reliability Assessment Methods by Using Wiener Data Preprocessing Based on Deep Learning
- Reliability and sensitivity analysis of a wastewater treatment plant operating with two blowers as a single system
- A Review on Cardiovascular Disease / Heart Disease By Machine Learning Prediction
- A Role of Network Data Envelopment Analysis Approach in Manufacturing Industry: Review of last 5 years
- Exploring Software Systems Engineering through complexity of code changes: A Study based on bugs count, features improvement and new add-ons
- Generating image captions in Hindi based on Encoder-Decoder based Deep Learning techniques
- Fault Removal Efficiency: A Key Driver in Software Reliability Growth Modelling
- Analysis of Progressively Censored Repair Time of Airborne Communication Transceiver with Burr-Hatke Exponential Model
- Bug Prediction Techniques: Analysis and Review
- A Review on Kidney Failure Prediction Using Machine Learning Models
- Machine Learning Based Remaining Useful Life Estimation – Concept and Case Study
- Modelling Software Reliability Growth incorporating Testing Coverage Function and Fault Reduction Factor
- Software Defect Prediction using Abstract Syntax Trees Features and Object - Oriented metrics
- A Review of Alzheimer's Disease Identification by Machine Learning
- Weighted Entropic and Divergence Models in Probability Spaces and their Solicitations for Influencing an Imprecise Distribution
- Considering multiplicative noise in a software reliability growth model using stochastic differential equation
- An Insight into Code Smell Detection Tool
- Efficiency of Divergence Measure in Fuzzy TOPSIS Algorithm for Multi-Attribute Decision Making
- Exploring the Impact of Latent and Obscure Factors on Left-Censored Data: Bayesian Approaches and Case Study
- Reliability Perspective of Software and Hardware Models
- Stress-Strength Modelling for a New Modified Lindley Distribution Under Progressively Censored Data
- Imperfect debugging, testing coverage, and compiler error-based SRGM with two types of faults under the uncertainty of the operating environment
- A statistical approach to estimate severe accident vehicle collision probability inside a multi-lane road tunnel with unidirectional traffic flow. .