Results 151 to 160 of about 5,738 (259)

A systematic review and future directions for AI-driven detection of fraud patterns in SACCO transactions. [PDF]

Front Artif Intell
Ampumuza D, Katushabe C, Tamale M.
europepmc   +1 more source

Shifting standards due to social class? The role of social class background in CEO career outcomes

Strategic Management Journal, EarlyView.
Abstract Research Summary This study investigates how social class background shapes CEO career outcomes. Extending the shifting standards model to post‐appointment evaluation, we theorize that CEOs from lower‐class backgrounds face persistently high confirmatory standards, producing asymmetric consequences.
Michelle Lee, Shelby L. Gai
wiley   +1 more source

Boundary-aware dual-discriminator generative adversarial network for data augmentation in financial transaction fraud detection. [PDF]

PLoS One
Zhu H, Wang Z, Xie Y, Yao J.
europepmc   +1 more source

Applying Simulation to the Problem of Detecting Financial Fraud.

, 2016
This thesis introduces a financial simulation model covering two related financial domains: Mobile Payments and Retail Stores systems.   The problem we address in these domains is different types of fraud. We limit ourselves to isolated cases of relatively straightforward fraud.
openaire   +2 more sources

Predicting Runtime in Spark‐Like Systems With Allocation‐Aware Deterministic Models

Software: Practice and Experience, EarlyView.
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

An AI-Driven Multimodal Sensor Fusion Framework for Fraud Perception in Short-Video and Live-Streaming Platforms. [PDF]

Sensors (Basel)
Zhao R, Zhang X, Yang J, Li H, Lu Z, Xu W, Li M.   +6 more
europepmc   +1 more source

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
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

Coupled modular simplicial graph neural network with snow ablation optimization for real-time fraud detection in payment systems. [PDF]

Sci Rep
Ramoju VCS, Biswal S, Kotecha K, Pandurangan KP, Parashar N.   +4 more
europepmc   +1 more source

Technology‐Enabled Cross‐Border Entrepreneurship: The Role of Digital Platforms in SME Expansion Through the Lens of Institutional Theory

Thunderbird International Business Review, EarlyView.
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

Enhancing credit card fraud detection with a hybrid approach using machine and deep learning. [PDF]

Sci Rep
Gamal N, Younis EMG, Makram WM.
europepmc   +1 more source