Financial Fraud Detection Based on Machine Learning: A Systematic Literature Review

A hybrid model based on machine learning and genetic algorithm for detecting fraud in financial statements

Financial statement fraud has increasingly become a serious problem for business, government, and investors. In fact, this threatens the reliability of capital markets, corporate heads, and even the audit profession. Auditors in particular face their apparent inability to detect large-scale fraud, and there are various ways to identify this problem. In order to identify this problem, the majori...

Problem-Based Learning Approach in Medical Education in Iran: A Systematic literature Review

Introduction: Problem solving skills are at the highest level of human cognition and are considered to be the most valuable educational goals. Due to the nature of the discipline, medical students need to upgrade their problem-solving skills. This article aimed to investigate the findings of studies on the use of problem-based Learning in medical education. Methods: In this systematic review, u...

Economic Machine Learning for Fraud Detection

Fraud Detection - Machine learning to the rescue

Protein Secondary Structure Prediction: a Literature Review with Focus on Machine Learning Approaches

DNA sequence, containing all genetic traits is not a functional entity. Instead, it transfers to protein sequences by transcription and translation processes. This protein sequence takes on a 3D structure later, which is a functional unit and can manage biological interactions using the information encoded in DNA. Every life process one can figure is undertaken by proteins with specific functio...