Results 131 to 140 of about 4,440,100 (389)
BackgroundDespite the importance of health care fraud and the political, legislative and administrative attentions paid to it, combating fraud remains a challenge to the health systems. We aimed to identify, categorize and assess the effectiveness of the
Arash Rashidian +2 more
doaj +1 more source
An intelligent sequential fraud detection model based on deep learning
Fraud detection and prevention has received a lot of attention from the research community due to its high impact on financial institutions’ revenues and reputation.
Georgios Zioviris +2 more
semanticscholar +1 more source
Pengaruh Pengalaman, Keahlian, dan Skeptisisme Profesional terhadap Pendeteksian Kecurangan (Studi Empiris pada Bpk RI Perwakilan Sumatera Selatan) [PDF]
This research was aimed to examine the effect of experience, expertise,and professional skepticism toward fraud detection empirical study in BPK RI South Sumatra Representative.
Delamat, H. (Harun) +2 more
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Real‐time quality and safety monitoring of fruit juice using paper‐based platform
Schematic illustration of a paper‐based biosensor for rapid detection of fruit juice spoilage. Abstract Food spoilage and safety concerns still remain critically challenging within the fruit juice industry, especially as conventional detection methods, though precise, are often too time‐consuming, costly, and reliant on centralized laboratories.
Priti Das +4 more
wiley +1 more source
This research paper proposes a solution that should be deployed to identify whether the transaction is fraud or not. Although we know that most of the transaction takes place online meaning that this transaction can be theft on the go and will create problem to user therefore this paper focus on some particular machine learning algorithm for example ...
openaire +1 more source
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
Fraud detection has increasingly become a prominent research field due to the dramatically increased incidents of fraud. The complex connections involving thousands, or even millions of nodes, present challenges for fraud detection tasks.
Mingjiang Duan +5 more
semanticscholar +1 more source
Guidelines for Sample Preparation and Stable Isotope Analysis of Food for Traceability Studies
This workflow illustrates sample preparation and analysis steps in stable isotope ratio mass spectrometer (IRMS) for food traceability. It emphasizes standardized preparation, encapsulation, calibration, and quality control to ensure accurate, comparable isotope data critical for verifying food origin and authenticity across complex supply chains ...
Bayan Nuralykyzy +8 more
wiley +1 more source
Credit card fraud remains a significant challenge due to class imbalance and fraudsters mimicking legitimate behavior. This study evaluates five machine learning models - Logistic Regression, Random Forest, XGBoost, K-Nearest Neighbors (KNN), and Multi-Layer Perceptron (MLP) on a real-world dataset using undersampling, SMOTE, and a hybrid approach. Our
Popova, Iva, Gardi, Hamza A. A.
openaire +3 more sources
Competency assessment in fraud detection at BPK: Challenges and enhancements
Public concerns have been raised regarding the audits conducted by the Audit Board of the Republic of Indonesia (Badan Pemeriksa Keuangan or BPK), the supreme audit institution, which often issues unqualified opinions despite the increasing number of ...
Dadang Sukma, Ratna Wardhani
doaj +1 more source
Merging automobile regulatory bodies: The case of Atlantic Canada [PDF]
The recent automobile liability insurance crisis in Atlantic Canada has prompted the four provincial legislations (Newfoundland and Labrador, New Brunswick, Nova Scotia and Prince Edward Island) to setup a task force to redesign, if necessary, the ...
Boyer, M. Martin, Schiller, Jörg
core

