Results 31 to 40 of about 132,324 (298)

Price Premiums for Single‐Name and Compound‐Name Geographical Indications in Swiss Cheese Trade

Agribusiness, EarlyView.
ABSTRACT Geographical indications (GIs) have become increasingly important in agri‐food markets, especially in Europe. For Swiss cheese imports and exports, we analyze whether GIs are associated with higher trade prices. We find that price premiums can be obtained for both exports and imports. However, this is only the case for cheeses with single name
Judith Irek
wiley   +1 more source

From Traditional Methods to Machine Learning: The Evolution of Fraud Detection in Auditing with New Technologies [PDF]

پژوهش‌های تجربی حسابداری
Fraudulent financial reporting is a global issue with significant negative consequences for all stakeholders. However, detecting fraud remains challenging due to its subjective nature.
Zahra Taheri, Saeideh Nazari, Milad Samavat   +2 more
doaj   +1 more source

Traceability of Agri‐Food Products: The Key to Conscious Trade

Agribusiness, EarlyView.
ABSTRACT Globalization and growing concerns about sustainability have led to improvements in product traceability, quality, and sustainability. Traceability contributes to environmental protection and supports sustainable development by fostering transparency in agricultural practices and encouraging the responsible use of resources.
Scarlett Queen Almeida Bispo, Fernanda Aparecida Silva, Michelle Márcia Viana Martins, Marcelo José Braga Nonnenberg, Ruan da Silva Vianna, Carla Cristina Passos Cruz   +5 more
wiley   +1 more source

AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review

IEEE Access
Rapid advancements in digital innovation and globalization has significantly increased the complexity of financial networks, making them more vulnerable to fraud.
Nusrat Jahan Sarna, Farzana Ahmed Rithen, Umme Salma Jui, Sayma Belal, Al Amin, Tasnim Kabir Oishee, A. K. M. Muzahidul Islam   +6 more
doaj   +1 more source

The Evaluation of Distributed Topic Modeling Paradigms for Detection Of Fraudulent Insurance Claims In Healthcare Forum [PDF]

MATEC Web of Conferences
Healthcare fraud is the deliberate misrepresentation of the healthcare industry for the purpose of obtaining unjustified financial gain. There are many different types of healthcare fraud, which can influence patients, healthcare professionals, insurers,
Subbarayudu Yerragudipadu, Vijendar Reddy Gurram, Sandhya Meesala, Bhargavi Jammi, Abhilash P.K., Pushkarna Gaurav   +5 more
doaj   +1 more source

Safeguarding against Cyber Threats: Machine Learning-Based Approaches for Real-Time Fraud Detection and Prevention

Engineering Proceedings, 2023
The proliferation of internet services in various industries, especially the financial sector, has increased financial fraud. Fraud detection and prevention are critical to protecting both individuals and organizations from significant financial loss ...
Vikas R. Shetty, Pooja R., Rashmi Laxmikant Malghan   +2 more
doaj   +1 more source

Shapley Additive Explanation for Local Class Differentiation: Local Explainability for Class Differentiation in Classification Models

Advanced Intelligent Systems, EarlyView.
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna, Hugo A. Ordoñez Erazo, Carlos A. Cobos Lozada   +2 more
wiley   +1 more source

Intelligent Financial Fraud Detection Practices: An Investigation

, 2015
Financial fraud is an issue with far reaching consequences in the finance industry, government, corporate sectors, and for ordinary consumers. Increasing dependence on new technologies such as cloud and mobile computing in recent years has compounded the
B Bai, B Hoogs, C Holton, C Whitrow, CA Paasch, D Sánchez, D Zhang, E Duman, E Kirkos, E Ngai, FH Glancy, HC Koh, I Yeh, J Pinquet, JE Sohl, JT Quah, L Bermúdez, M Cecchini, M Jans, P Ravisankar, S Bhattacharyya, S Panigrahi, S Viaene, SL Humpherys, V Vatsa, W Zhou, W-S Yang   +26 more
core   +1 more source

FraudDroid: Automated Ad Fraud Detection for Android Apps [PDF]

, 2018
Although mobile ad frauds have been widespread, state-of-the-art approaches in the literature have mainly focused on detecting the so-called static placement frauds, where only a single UI state is involved and can be identified based on static ...
Developers Android, Developers Android, Developers Android, Developers Android, Freier Anne, Jones Brandon, Liu Bin, MARIA, McCoy Damon, Project The Bro, Springborn Kevin, Stevens Ryan, Wang Haoyu   +12 more
core   +2 more sources

VALIANT: A Vision‐Authenticity Language Framework Through Integrated Experts and Aligned Numerical‐Textual Descriptors for Citri Reticulatae Pericarpium

Advanced Intelligent Systems, EarlyView.
Visual features, numerical descriptors, and controlled textual attributes extracted from smartphone images of Chenpi are integrated by VALIANT, a tailored multimodal framework for simultaneous storage‐age classification and authenticity verification. The workflow distinguishes genuine products from suspicious standard operating procedure mimics while ...
Simon C. K. Chan, Bingxin Huang, Hannah H. Kim, Wentao Yu, Yinqian Luo, Terence T. W. Wong   +5 more
wiley   +1 more source