Results 221 to 230 of about 4,440,100 (389)
Deviation‐Guided Attention for Semi‐Supervised Anomaly Detection With Contrastive Regularisation
ABSTRACT Anomaly detection (AD) aims to identify abnormal patterns that deviate from normal behaviour, playing a critical role in applications such as industrial inspection, medical imaging and autonomous driving. However, AD often faces a scarcity of labelled data. To address this challenge, we propose a novel semi‐supervised anomaly detection method,
Guanglei Xie +6 more
wiley +1 more source
HQRNN-FD: A Hybrid Quantum Recurrent Neural Network for Fraud Detection. [PDF]
Li YC +4 more
europepmc +1 more source
A Hybrid Image Analysis Model for Credit Card Transaction Monitoring and Fraud Detection
Yanmin Nie, Dan Yao, Weiming Zhan
openalex +1 more source
Online Payment Fraud Detection
This research explores innovative approaches to detecting fraudulent transactions by leveraging advanced machine learning algorithms and data analytics techniques. By analyzing real-world transaction datasets, the study aims to identify behavioral patterns and anomalies indicative of fraud.
openaire +1 more source
Analysing policy success and failure in Australia: Pink batts and set‐top boxes
Abstract This article examines two Australian government programs from the Rudd/Gillard Labor government, the Home Insulation Program (HIP) and the Digital Switchover Household Assistance Scheme (HAS). Both became shibboleths of the Labor government's perceived waste and incompetence.
Daniel Casey
wiley +1 more source
Image-Based Telecom Fraud Detection Method Using an Attention Convolutional Neural Network. [PDF]
Li J, Dang J, Wang Y, Yang J.
europepmc +1 more source
Games and gamification projects in the Australian public sector
Abstract This article surveys the arrival of gameful government into Australian public sector practice. Gameful government is a shorthand, descriptive term denoting the interpenetration of (video)games, and design elements and thinking from them, into public sector work.
David Threlfall, Catherine Althaus
wiley +1 more source
Insurance claims estimation and fraud detection with optimized deep learning techniques. [PDF]
Anand Kumar P, Sountharrajan S.
europepmc +1 more source

