Abstract: Online payment fraud has become a major concern for financial institutions, driving the need for effective and efficient detection mechanisms. In response, this work focuses on an innovative ...
One organization responding to this shift is Interview Kickstart, which has introduced the Agentic AI Course for Engineers and Developers and senior tech professionals. A 14-week training program ...
Abstract: In the digital era, effective Transaction Fraud Detection (TFD) is essential to ensuring financial security. The considerable class imbalance, with legitimate transactions vastly ...
This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...
The executive director of Black Lives Matter (BLM) Oklahoma City (OKC) has been charged with wire fraud and money laundering after federal prosecutors say she diverted more than $3.15 million in ...
You think you’ve found a shortcut to legal U.S. residency? Think again. Filing a visa petition or adjustment of status application for an immigrant spouse on the basis of a sham marriage can have very ...
AUSTIN, Texas — Driving through Austin may soon get a little easier. On Thursday, the Austin City Council could greenlight a nearly $11 million plan to improve vehicle detection at traffic signals, ...
Editor's note: Este artículo está traducido al español. The devastating wildfires in the Los Angeles area earlier this year inspired a trio of UNLV engineering students to design a device to detect ...
A series of sprawling fraud schemes involving hundreds of millions of dollars stolen from Minnesota taxpayers — from COVID-relief programs to housing and autism services — have placed the state’s ...
A series of multimillion-dollar alleged fraud schemes in Minnesota has drawn the Trump administration's attention in recent weeks, vaulting an issue that has brewed in state politics for years into ...
Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...
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