Credit card fraud detection through machine learning algorithm by Agyan Panda, Bharath Yadlapalli, Zhi Zhou

“…Every year, millions of dollars are lost due to fraudulent credit card transactions. To help fraud investigators, more algorithms are turning to powerful machine learning methodologies. …”
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Does gambling preference level affect occupational fraud behavior?—Evidence from a survey study in China by Shihua Huang, Yizao Chen, Baitong Li

“…This study aims to understand the factors contributing to such fraudulent behavior and to develop strategies to mitigate it, focusing on the relationship between gambling preferences and occupational fraud within the framework of the fraud triangle theory, emphasizing the ‘pressure' element. …”
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The Efficacy of Predictive Methods in Financial Statement Fraud by Mahdi Omidi, Qingfei Min, Vahab Moradinaftchali, Muhammad Piri

“…The empirical results show that MFFNN yields the best classification results in detection of fraudulent data presented in financial statement. The outcomes of this study can be applied to different types of financial statement datasets, as they present a practical way for constructing predictive models using a combination of supervised and unsupervised approaches.…”
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MEASURES TO COUNTERACT MODERN METHODS OF FRAUD AGAINST THE POPULATION by Maria S. Tikhomirova, Arina D. Palatnikova

“…One of the most important measures to counteract the commission of fraudulent actions against the population, as we believe, is a whole range of various measures aimed at preventing such criminal actions. …”
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Literature and History: Study of Nigerian Indigenous Historical Novels by Lere Adeyemi

“…Some of the findings reveal that: both Yoruba literature and history are closely related, they are both based on Yoruba experience and Yoruba existence either in the past or present; while Ladele Interprets the history of the dignity and royal glamour of the Yoruba oba in the precolonial era as a form of domination which is often achieved through culturally-orchestrated consent rather than force; Owolabi represents the hlstory of party politics in Yoruba society as fraudulent, deceltful, full of bitterness and violence. …”
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Re-evaluation of Public Companies from a Jurisprudential and Legal Point of View by Amirhossein Esesami, Zahra Shiri

“…. , will face the transaction with the suspicion of being fraudulent. This research, with an analytical-descriptive method, has investigated the jurisprudence of the necessity of revaluation of assets in public companies. …”
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IMPACT OF FORENSIC ACCOUNTING SERVICES ON PREVENTING AND DETECTING FRAUD IN NIGERIAN DEPOSIT MONEY BANKS by Abdul-Hakeem Shuaib, Salaudeen Ibrahim

“… The internal control system of any organisation determines how prone such an organisation will be to fraudulent practices. The operations of Nigerian Deposit Money Banks (NDMBs) is highly multifaceted, hence, requires sophisticated technology which in turn requires technology-driven expertise to design a sound internal control that will detect and prevent fraud in such system. …”
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Indonesian Governors’ Gender, Age, Education Level, Educational Background, Tenure and Their Tendency of Conducting Fraud by Sri Elviani, Ramadona Simbolon, Farida Khairani Lubis, Lusi Elviani Rangkuti, Ismail Nasution

“… This study aims to determine the effect of governor characteristics on the occurrence of fraudulent activities in the Provincial Government in Indonesia. …”
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alchimia dall’inferno al paradiso nella divina commedia. l’influsso su dante dell’opera alchemica aurora consurgens, parzialmente attribuita a san tommaso d’aquino by Marino Alberto Balducci

“…The symbolic vision of a terrible epidemic, affecting the deep infernal zones, appears in the Divine Comedy associated with the wrong, fraudulent, and arrogant use of alchemical science (Inf. …”
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An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection by Faleh Alshameri, Ran Xia

“…The anomaly can occur in many forms, such as fraudulent credit card transactions, network intrusions, and anomalous imageries or documents. …”
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A systematic review of AI-enhanced techniques in credit card fraud detection by Ibrahim Y. Hafez, Ahmed Y. Hafez, Ahmed Saleh, Amr A. Abd El-Mageed, Amr A. Abohany

“…The key finding from this study demonstrates the need for continuous development of AI models that could be alert to the latest fraudulent activities.…”
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Surface-Enhanced Raman Spectroscopy for Monitoring Extravirgin Olive Oil Bioactive Components by C. Camerlingo, M. Portaccio, I. Delfino, M. Lepore

“…The determination of chemical composition is a demanding task in order to fully characterize this precious food product, ensure its quality, and prevent fraudulent practices. Among innovative techniques proposed for the oil analysis, surface-enhanced Raman spectroscopy (SERS) can be an extremely useful tool for olive oil characterization. …”
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Discriminating the adulteration of varieties and misrepresentation of vintages of Pu’er tea based on Fourier transform near infrared diffuse reflectance spectroscopy by Zhenfa Yang, Zhenfa Yang, Xiaoping Lu, Lucheng Chen

“…In the Pu’er tea market, the ubiquity of blending different varieties and the fraudulent representation of vintage years present a persistent challenge. …”
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The JPEX scandal: a test case for Hong Kong’s new cryptocurrency regulatory regime or is it still the wild west? by Noble Po Kan Lo, Noble Po Kan Lo, Tony Hon Yiu Lau, Tony Hon Yiu Lau

“…The scandal serves as the first significant test of the city’s regulatory measures aimed at protecting consumers and investors from fraudulent activities within the crypto space. The study delves into the background and development of blockchain technology and cryptocurrencies, highlighting their rapid evolution and the associated regulatory challenges. …”
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Cloud-Based Transaction Fraud Detection: An In-depth Analysis of ML Algorithms by Ali Alhchaimi

“…It uses a comprehensive dataset to determine which ML model best identifies fraudulent transactions, aiming to optimize these models for accuracy, precision, and efficiency in real-time detection. …”
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Detection of Adulteration of Extra Virgin Olive Oil via Laser-Induced Breakdown Spectroscopy and Ultraviolet-Visible-Near-Infrared Absorption Spectroscopy: A Comparative Study by Eleni Nanou, Marios Bekogianni, Theodoros Stamatoukos, Stelios Couris

“…The fast detection of Extra Virgin Olive Oil (EVOO) adulteration with poorer quality and lower price vegetable oils is important for the protection of consumers and the market of olive oil from fraudulent activities, the latter exhibiting an increasing trend worldwide during the last few years. …”
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GNN-EADD: Graph Neural Network-Based E-Commerce Anomaly Detection via Dual-Stage Learning by Zhouhang Shao, Xuran Wang, Enkai Ji, Shiyang Chen, Jin Wang

“…E-commerce platforms face significant challenges in detecting anomalous products, including counterfeit goods and fraudulent listings, which can undermine user trust and platform integrity. …”
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Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

“…Meta-RL leverages meta-learning principles to learn the characteristics of fraudulent instances dynamically. This adaptability comes from its ability to learn shared representations and optimal task-specific strategies using limited samples. …”
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Health Care Fraud and Abuse: Lessons From One of the Largest Scandals of the 21st Century in the Field of Spine Surgery by Thomas Szewczyk, BS, Michael S. Sinha, MD, JD, MPH, Jack Gerling, BS, Justin K. Zhang, MD, MSCI, Philippe Mercier, MD, PhD, Tobias A. Mattei, MD, FACS

“…We also explore the official legal complaint brought by the US Department of Justice to tell the story of how one of the most significant medical innovations in spine surgery in the 21st century turned into a widespread fraudulent marketing scheme. In the sequence, we provide a detailed root cause analysis of this scandal and propose some proactive measures that can be taken to avoid such type of unfortunate events. …”
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Hydroxymethylfurfural in honey: a public health problem by Bruno Soares Toledo, Lévison da Costa Cipriano, Thais Regina de Castro Pereira, Sérgio Borges Mano, Adriano Gomes da Cruz, Erick Almeida Esmerino, Eliane Teixeira Mársico

“…However, despite this factor, it is the most fraudulent food in Brazil. On the other hand, it is also marketed in many places without any control, with the appeal of "natural product". …”
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