AIMC Topic: Fraud

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Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning.

Computers in biology and medicine Aug 13, 2021
Ginger is a well-known product in the food and pharmaceutical industries. Ginger is one of the spices which are adulterated for economic gain. The lack of marketability of grade 3 chickpeas (small and broken chickpeas) and their very low price have m...
Zingiber officinale Fraud Image Processing, Computer-Assisted Powders Algorithms Deep Learning
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Machine learning based approach to exam cheating detection.

PloS one Aug 4, 2021
The COVID-19 pandemic has impelled the majority of schools and universities around the world to switch to remote teaching. One of the greatest challenges in online education is preserving the academic integrity of student assessments. The lack of dir...
SARS-CoV-2 Educational Measurement COVID-19 Algorithms Lie Detection Deception Datasets as Topic Models, Theoretical Universities Machine Learning Pandemics Humans Education, Distance Fraud
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A novel method based on machine vision system and deep learning to detect fraud in turmeric powder.

Computers in biology and medicine Aug 3, 2021
Assessing the quality of food and spices is particularly important in ensuring proper human nutrition. The use of computer vision method as a non-destructive technique in measuring the quality of food and spices has always been taken into considerati...
Humans Powders Fraud Curcuma Neural Networks, Computer Deep Learning
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Using an Optimized Learning Vector Quantization- (LVQ-) Based Neural Network in Accounting Fraud Recognition.

Computational intelligence and neuroscience Jun 28, 2021
With the continuous development and wide application of artificial intelligence technology, artificial neural network technology has begun to be used in the field of fraud identification. Among them, learning vector quantization (LVQ) neural network ...
Algorithms Learning Fraud Neural Networks, Computer Artificial Intelligence
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A field trials-based authentication study of conventionally and organically grown Chinese yams using light stable isotopes and multi-elemental analysis combined with machine learning algorithms.

Food chemistry Oct 31, 2020
In this study, stable isotopes and multi-element signatures combined with chemometrics were used to distinguish conventional and organic Chinese yams based on field trials. Four light stable isotopes δD, δC, δN, δO, and 20 elements (e.g. Li, Na, Mn) ...
Isotopes Fraud Dioscorea Organic Agriculture Machine Learning
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Medical Fraud and Abuse Detection System Based on Machine Learning.

International journal of environmental research and public health Oct 5, 2020
It is estimated that approximately 10% of healthcare system expenditures are wasted due to medical fraud and abuse. In the medical area, the combination of thousands of drugs and diseases make the supervision of health care more difficult. To quantif...
Fraud Health Services Misuse Delivery of Health Care Health Expenditures Neural Networks, Computer Machine Learning Humans
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Exploration of total synchronous fluorescence spectroscopy combined with pre-trained convolutional neural network in the identification and quantification of vegetable oil.

Food chemistry Jul 24, 2020
In order to distinguish different vegetable oils, adulterated vegetable oils, and to identify and quantify counterfeit vegetable oils, a method based on a small sample size of total synchronous fluorescence (TSyF) spectra combined with convolutional ...
Neural Networks, Computer Plant Oils Spectrometry, Fluorescence Support Vector Machine Food Quality Least-Squares Analysis Fraud Sesame Oil
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Machine learning and the future of Medicare fraud detection.

Journal of the American Academy of Dermatology Mar 29, 2020
Financial Audit Administrative Claims, Healthcare Fraud Datasets as Topic Clinical Coding United States Medicare Data Mining Machine Learning
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Using Harmony Search Algorithm in Neural Networks to Improve Fraud Detection in Banking System.

Computational intelligence and neuroscience Feb 8, 2020
Financial fraud is among the main problems undermining the confidence of customers in addition to incurring economic losses to banks and financial institutions. In recent years, along with the proliferation of fraud, financial institutions began look...
Neural Networks, Computer Banking, Personal Fraud
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Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions.

Science and engineering ethics Feb 14, 2019
Artificial intelligence (AI) research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI t...
Interdisciplinary Research Liability, Legal Forecasting Fraud Humans Drug Trafficking Commerce Social Media Crime Sex Offenses Artificial Intelligence
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