Abstract: When deploying complex, highly loaded end-to-end solutions, container systems are becoming an increasingly popular choice as an alternative to virtual operating systems. These technologies ...
In this tutorial, we demonstrate how we simulate a privacy-preserving fraud detection system using Federated Learning without relying on heavyweight frameworks or complex infrastructure. We build a ...
Abstract: We propose an anomaly detection method based on modal representation and a noise-robust sparse sensor position optimization method. We focus on the detection of anomalies in global sea ...
We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...
ABSTRACT: Transportation agencies manage hundreds of active work zones, often spread across large geographic regions. Traditionally, verifying compliance with maintenance of traffic (MOT) plans has ...
Forbes contributors publish independent expert analyses and insights. Julian Hayes II combines wellness, business, and leadership. This voice experience is generated by AI. Learn more. This voice ...
CEBU CITY, Philippines — The Cebu Port Authority (CPA) is expecting more than 500,000 passengers to travel through the ports in the province this holiday season. Maryknoll Bolasa, spokesperson of CPA, ...
SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.
ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...
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