Results 151 to 160 of about 5,725,522 (200)

Trends and factors associated with cyber fraud among older adults: a decade of administrative data in Brazil. [PDF]

Front Public Health
Lopes TF, de Almeida PC, Ribeiro AA, Okuno MFP.   +3 more
europepmc   +1 more source

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

Organisational scale and fraud volatility: An exploratory agent-based simulation of occupational fraud dynamics. [PDF]

PLoS One
Freeman C.
europepmc   +1 more source

Multi-Platform Metabolomics for Fraud Detection in Spices and Botanical Food Supplements: From Fingerprint Acquisition to Decision-Grade Evidence. [PDF]

Molecules
Gođevac D, Ivanović S, Cvetković M, Jeremić JS, Simić K, Mandrone M, Sofrenić I.   +6 more
europepmc   +1 more source

Sudan Dye Adulteration in Foods: A Comprehensive Review of Health Risks, Detection Methods, Regulatory Responses, and Preventive Strategies. [PDF]

Foods
Chiu TW, Chang WC, Li CC, Hou CY, Huang PH.   +4 more
europepmc   +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

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

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

DKFraudNet: a knowledge-guided adversarial learning framework for fraud user detection. [PDF]

Front Big Data
Shen Y, Shi R, Song K, Li Y.
europepmc   +1 more source