A Privacy-Preserving Approach to Health Insurance Fraud Detection Using Vertical Federated Learning. [PDF]
R RK +3 more
europepmc +1 more source
Predicting Runtime in Spark‐Like Systems With Allocation‐Aware Deterministic Models
ABSTRACT Objectives Apache Spark is widely used for distributed data processing, but accurately predicting application execution time remains challenging because performance depends on application structure, resource configuration, and executor‐allocation behavior.
Hina Tariq, Olivia Das
wiley +1 more source
Food Fraud Implications and Regulatory Challenges in South Africa: A Review. [PDF]
Shuping LS, Lebelo K.
europepmc +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
Whistleblowing in financial practice: a review of processes and impacts. [PDF]
Al-Thani N, Wright S.
europepmc +1 more source
ABSTRACT Small and medium‐sized enterprises (SMEs) face significant institutional barriers when expanding across borders, including regulatory constraints, financial accessibility issues, and market entry challenges. Institutional theory provides a useful framework for understanding how external regulative, normative, and cognitive institutional forces
Sharmin Nahar, Muntasir Alam
wiley +1 more source
Realistic threats escalating societal conflict: electoral distrust, strong leader support, and divided justice in South Korea's 2024-2025 political crisis. [PDF]
Yu Y, Jung T.
europepmc +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Coupled modular simplicial graph neural network with snow ablation optimization for real-time fraud detection in payment systems. [PDF]
Ramoju VCS +4 more
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

