Bibliometric Analysis of Intelligent Systems for Early Anomaly Detection in Oil and Gas Contracts: Exploring Recent Progress and Challenges

LF Cardona, JA Guzmán-Luna, JA Restrepo-Carmona - Sustainability, 2024 - mdpi.com
The oil and gas industries are crucial to global economies, influencing geopolitics, driving
technological advancements, employing millions, and impacting financial markets. The …

[PDF][PDF] Review of public procurement fraud detection techniques powered by emerging technologies

N Modrušan, K Rabuzin, L Mršic - International Journal of Advanced …, 2021 - academia.edu
Numerous studies and various methods have been used to detect and prevent corruption in
public procurement. With the development of IT technology and thus the digitization of the …

Explainable and interpretable anomaly detection models for production data

B Alharbi, Z Liang, JM Aljindan, AK Agnia, X Zhang - SPE Journal, 2022 - onepetro.org
Trusting a machine-learning model is a critical factor that will speed the spread of the fourth
industrial revolution. Trust can be achieved by understanding how a model is making …

Anomaly and cyber fraud detection in pipelines and supply chains for liquid fuels

A Beteto, V Melo, J Lin, M Alsultan, EM Dias… - … Systems and Decisions, 2022 - Springer
A recent large-scale information disruption of the Colonial Pipeline across the USA has
highlighted the cyber vulnerabilities of the supply chains of liquid fuels. Information …

Automation to Find Adulteration in Downstream Petroleum Monitoring Using Machine Learning: An Overview

S Hemachandiran, G Aghila, R Siddharth - Recent Advances in …, 2022 - Springer
This article gives the brief overview of the important sectors in the petroleum industry and
also discusses the application of machine learning in those sectors for automation. This …

Role of ML and DL in Detecting Fraudulent Transactions

S Rajendran, AA John, B Suhas, B Sahana - Artificial Intelligence for …, 2023 - Springer
Ever since the inception of online transactions, it has positively impacted the ease of
business by making money transactions straightforward and secure, irrespective of location …

Fraud Detection in Fintech Leveraging Machine Learning and Behavioral Analytics

HP Josyula - 2023 - researchsquare.com
Fraud detection in the fintech sector is a critical area of concern as financial transactions
increasingly shift to digital platforms. This paper presents a comprehensive analysis of …

Machine learning approaches for enhancing smart contracts security: A systematic literature review

A AlShorman, F Shannaq… - International Journal of …, 2024 - growingscience.com
Smart contracts offer automation for various decentralized applications but suffer from
vulnerabilities that cause financial losses. Detecting vulnerabilities is critical to safeguarding …

How Big Data Analytics Can Help Future Regulatory Issues in Carbon Capture and Sequestration CCS Projects

K Balaji, Z Zhou, M Rabiei - SPE Western Regional Meeting, 2019 - onepetro.org
In this age of data, there is a significant need for tracking and prediction of non-compliance
of rules & regulations in various industries including the oil & gas sector. In this paper, we …

Revolutionizing regulatory reporting through AI/ML: Approaches for enhanced compliance and efficiency

H Padmanaban - Journal of Artificial Intelligence General science …, 2024 - ojs.boulibrary.com
Abstract ISSN: 3006-4023 (Online), Vol. 2, Issue 1Journal of Artificial Intelligence General
Science (JAIGS) journal homepage: https://ojs. boulibrary. com/index. php …