A State of Art Critique Review of Role of Optimization in NDTS for Effective Condition Monitoring

2019 ◽  
pp. 189-204 ◽  
Author(s):  
Ashish Khaira ◽  
Ravi K. Dwivedi
Keyword(s):  
Process Optimization ◽  
Condition Monitoring ◽  
Optimization Technique ◽  
Research Work ◽  
Pivotal Role ◽  
Detailed Review ◽  
Effective Condition ◽  
Condition Based Monitoring ◽  
State Of Art

Nondestructive testing (NDT) techniques play a pivotal role in a condition-based monitoring system. Generally, using an optimization technique for optimizing the available solution gives added advantage. By keeping this fact in mind, this chapter is an attempt to provide a detailed review of research work from 2000-2018 that covered the role of optimization for effective condition monitoring using NDTs. It was observed from literature that little work found related to NDT process optimization. The researcher and practitioner can use the outcome of this work as a beacon and improve it further.

A State-of-the-Art Critique Review of the Role of Decision-Making Techniques in NDT for Condition Monitoring

2019 ◽  
pp. 222-236
Author(s):  
Ashish Khaira ◽  
Ravi K. Dwivedi
Keyword(s):  
Decision Making ◽  
Condition Monitoring ◽  
Research Work ◽  
Research Papers ◽  
Operating Personnel ◽  
Detailed Review ◽  
Effective Condition ◽  
Year 2000 ◽  
Selection Of

Nondestructive testing (NDT) is a vital tool in maintenance. Each NDT technique has some benefits and hindrances; therefore, the selection is crucial. Generally, the selection of a technique relies on operating personnel experience, and very few research papers shows uses of the decision-making (DM) approach. It was highlighted by various researchers that if a proper DM approach is used, it will save time and increase fault detection reliability. By keeping this fact in mind, this chapter is an attempt to provide a detailed review of research work from the year 2000-2018 that covered the role of DM techniques while making combinations of NDT for effective condition monitoring. It observed from the literature that very few researchers effectively utilized the power of DM tool. The researcher can use the outcome of this work as a beacon and improve it further.

Implementing AI Techniques to Address the Challenges Surrounding Cryptocurrencies

2021 ◽  
pp. 128-150
Author(s):  
Guneet Kaur
Keyword(s):  
Artificial Intelligence ◽  
Money Laundering ◽  
Public Awareness ◽  
Research Work ◽  
Detailed Review ◽  
Security Breaches

The research work is focused on examining the role of artificial intelligence (AI) in addressing challenges associated with cryptocurrencies like Bitcoin, Ethereum, etc. The popularity of Bitcoin has sparked the emergence of new alternative cryptocurrencies, commonly referred to as ‘altcoins'. Simultaneously with its growing popularity and public awareness, the Bitcoin system has been branded as a haven for security breaches, selfish mining, money laundering, extreme volatility, and unpredictability of future prices. To address these challenges, stakeholders accepting cryptocurrencies must apply AI techniques to process and analyze large amounts of cryptocurrency data. In this context, this chapter discusses the recent research work to assist the researchers and practitioners in the cryptocurrency domain to make fact-based decisions by using AI techniques. Consequently, the chapter provides a detailed review of the background on fiat currencies, cryptocurrencies, challenges associated with cryptocurrencies, and the role of AI techniques in addressing those challenges.

Pivotal Role of the Genital Epithelial Cells in HIV-1 Transmission

2015 ◽  
Vol 13 (6) ◽  
pp. 479-489
Author(s):  
Amelie Saint Jean ◽  
Thomas Bourlet ◽  
Olivier Delezay
Keyword(s):  
Epithelial Cells ◽  
Pivotal Role ◽  
Hiv 1
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