Results 91 to 100 of about 34,803 (186)

Do Just Energy Transition Partnerships collide or converge with substantive investment law standards? Case studies from Indonesia and Vietnam

open access: yesReview of European, Comparative &International Environmental Law, EarlyView.
Abstract Just Energy Transition Partnerships (JETPs) are novel financing mechanisms that encourage coal‐dependent emerging economies to transition away from fossil fuels. JETPs aim to facilitate coal phaseout and transitions to renewable energy through private and public financing.
Francine Hug
wiley   +1 more source

Quantum Autoencoder for Enhanced Fraud Detection in Imbalanced Credit Card Dataset

open access: yesIEEE Access
Credit card fraud detection is crucial for financial security which entails identifying unauthorized transactions that can result in significant financial losses.
Chansreynich Huot   +3 more
doaj   +1 more source

When Business Breaks the Rules: The Value of a Criminology‐Informed “Organizational” Perspective for the Regulation of White‐Collar and Corporate Crimes

open access: yesRegulation &Governance, EarlyView.
ABSTRACT This article argues that if the aspiration is to enhance regulatory and governance responses to white‐collar and corporate crimes, consideration of the organization of these offending behaviors must be central to the scholarly, practice, and policy discussion.
Nicholas Lord, Michael Levi
wiley   +1 more source

FinTech Lending and Cashless Payments

open access: yesThe Journal of Finance, Volume 81, Issue 2, Page 1053-1101, April 2026.
ABSTRACT Borrowers' use of cashless payments improves their access to capital from FinTech lenders and predicts a lower probability of default. These relationships are stronger for cashless technologies providing more precise information, and for outflows. Cashless payment usage complements other signals of borrower quality.
PULAK GHOSH, BORIS VALLEE, YAO ZENG
wiley   +1 more source

A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection

open access: yesTechnologies
Credit card fraud detection is a critical challenge in the financial industry, with substantial economic implications. Conventional machine learning (ML) techniques often fail to adapt to evolving fraud patterns and underperform with imbalanced datasets.
Ibomoiye Domor Mienye, Theo G. Swart
doaj   +1 more source

Credit Card Fraud Detection with Subspace Learning-based One-Class Classification

open access: yes, 2023
In an increasingly digitalized commerce landscape, the proliferation of credit card fraud and the evolution of sophisticated fraudulent techniques have led to substantial financial losses.
Gabbouj, Moncef   +3 more
core  

Credit Card Fraud Detection System

open access: yesInternational Journal Of Engineering And Computer Science, 2016
The most accepted payment mode is credit card for both online and offline in today’s world, it provides cashless shopping at every shop in all countries. It will be the most convenient way to do online shopping, paying bills etc. Hence, risks of fraud transaction using credit card has also been increasing.
Suchita Anant Padvekar   +2 more
openaire   +1 more source

Data mining for detecting Bitcoin Ponzi schemes

open access: yes, 2018
Soon after its introduction in 2009, Bitcoin has been adopted by cyber-criminals, which rely on its pseudonymity to implement virtually untraceable scams. One of the typical scams that operate on Bitcoin are the so-called Ponzi schemes.
Bartoletti, Massimo   +2 more
core   +1 more source

Fraud Guard: A Comprehensive Comparative Analysis of Machine Learning Approaches to Enhance Credit Card Fraud Detection [PDF]

open access: yes
The COVID-19 pandemic has constrained people's mobility, prompting a surge in reliance on online services due to challenges in offline purchasing.
Abdulateef, Omar Gheni
core   +1 more source

Enhancing Fraud Detection in Banking With Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention

open access: yesIEEE Access
Under the umbrella of artificial intelligence (AI), deep learning enables systems to cluster data and provide incredibly accurate results. This study explores deep learning for fraud detection, utilizing Graph Neural Networks (GNNs) and Autoencoders to ...
Fawaz Khaled Alarfaj, Shabnam Shahzadi
doaj   +1 more source

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