Merchant Fraud Detection System Using Anomaly Detection Techniques This repository contains a Merchant Fraud Detection System designed to detect suspicious transaction patterns and flag anomalous ...

About Autoencoder-based Real-Time Anomaly Detection in IoT Network using synthetic data.

The basic scheme of the AE algorithm is shown in Figure 1. FIGURE 1. Schematic diagram of an autoencoder. As shown in Figure 1, the autoencoder has a symmetric structure consisting of two components: ...

Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. Over the past few decades, significant ...

In this paper, we introduce a new method to analyse HIV using a combination of autoencoder networks and genetic algorithms. The proposed method is tested on a set of demographic properties of ...

The Data Science Lab Data Dimensionality Reduction Using a Neural Autoencoder with C# Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation ...

Landslide extraction plays a critical role in disaster prevention and mitigation. However, acquiring sufficient landslide samples is often challenging, significantly limiting the performance of ...