Results 341 to 350 of about 4,440,100 (389)
Some of the next articles are maybe not open access.
Food fraud and food fraud detection technologies
2017This chapter introduces the food fraud concept. It provides an overview of the problem. The chapter explores the crime prevention concepts that apply to food fraud. It explores the technologies that are being used to authenticate food items, and discusses a variety of other technologies that are employed to make food items, and the food supply chain ...
Roy Fenoff, John Spink
openaire +1 more source
IEEE Transactions on Computational Social Systems
Many machine learning methods have been proposed to achieve accurate transaction fraud detection, which is essential to the financial security of individuals and banks.
Yue Tian +3 more
semanticscholar +1 more source
Many machine learning methods have been proposed to achieve accurate transaction fraud detection, which is essential to the financial security of individuals and banks.
Yue Tian +3 more
semanticscholar +1 more source
A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection
TechnologiesCredit card fraud detection is a critical challenge in the financial industry, with substantial economic implications. Conventional machine learning (ML) techniques often fail to adapt to evolving fraud patterns and underperform with imbalanced datasets.
Ibomoiye Domor Mienye, Theo G. Swart
semanticscholar +1 more source
Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection
Proceedings of the 31st ACM International Conference on Multimedia, 2023Jinzhang Hu +8 more
openaire +1 more source
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS)Financial fraud refers to the act of obtaining financial benefits through dishonest means. Such behavior not only disrupts the order of the financial market but also harms economic and social development and breeds other illegal and criminal activities ...
Yuxin Dong +5 more
semanticscholar +1 more source
REST Journal on Data Analytics and Artificial Intelligence
The widespread adoption of the Unified Payments Interface (UPI) has introduced a new level of convenience in digital transactions. However, this growth has been accompanied by an alarming rise in fraudulent activities, such as phishing, unauthorized transactions, and identity theft.
openaire +1 more source
The widespread adoption of the Unified Payments Interface (UPI) has introduced a new level of convenience in digital transactions. However, this growth has been accompanied by an alarming rise in fraudulent activities, such as phishing, unauthorized transactions, and identity theft.
openaire +1 more source
The International Journal of Organizational Analysis
Purpose This study aims to investigate the moderating role of natural language processing natural language processing (NLP) on the relationship between AI-empowered AIS (data gathering, data analysis, risk assessment, detection, prevention and ...
A. Qatawneh
semanticscholar +1 more source
Purpose This study aims to investigate the moderating role of natural language processing natural language processing (NLP) on the relationship between AI-empowered AIS (data gathering, data analysis, risk assessment, detection, prevention and ...
A. Qatawneh
semanticscholar +1 more source
ATM Fraud Detection Using Outlier Detection
2018A fraud detection model that applies accounts’ behavior features and outlier detection methods are proposed. Given a set of transactions, the accounts are grouped into two groups according to the location that the transactions took place, i.e., ‘local-only’ and ‘has-abroad’.
Roongtawan Laimek +2 more
openaire +1 more source
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024)Anomaly detection is a critical challenge across various research domains, aiming to identify instances that deviate from normal data distributions.
Mengran Zhu +4 more
semanticscholar +1 more source
2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS), 2023
Wong Shi Jie +3 more
openaire +1 more source
Wong Shi Jie +3 more
openaire +1 more source

