135 datasets found

The dataset is used for multivariate time series anomaly detection in IoT. It contains multivariate time series data from various IoT sensors.

Diffusion by Maximum Entropy IRL (DxMI) is an IRL approach for training a diffusion model and an energy-based model.

The dataset used for medical image anomaly detection, focusing on few-shot learning and anomaly synthesis.

Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

Isolation Forest

Long Short Term Memory Networks for Anomaly Detection in Time Series

Time series anomaly detection method based on VAE with re-Encoder and latent constraint network

The LHC Olympics R&D dataset, consisting of 106 simulated QCD di-jet events and up to 105 Z (cid:48) q ¯q) events

The Skoltech Anomaly Benchmark (SKAB) is a dataset for anomaly detection in time-series data.

A dataset for anomaly detection in wireless sensor networks, generated by injecting faults into normal data.

The Multi Visual Modality Fall Detection Dataset (MUVIM) was used for anomaly detection of falls. It contains (6) vision-based sensors of different modalities including thermal,...

ToyADMOS: A dataset of miniature-machine operating sounds for anomalous sound detection

The dataset is used for multivariate time series anomaly detection in IoT. It contains multivariate time series data from various IoT sensors.

The dataset used in this paper is a collection of monitoring parameters for a nuclear reactor, including temperature, flow rate, pressure, and level of various components. The...

The dataset used in this paper for anomaly detection in wind turbine blades using FMCW radar.

The proposed on-device federated learning approach is evaluated using three datasets: UAH-DriveSet, Smartphone HAR, and MNIST.

The dataset used in the research paper for testing the robustness of autoencoder-based anomaly detectors to adversarial poisoning attacks.

A dataset used for training and testing the autoencoder (AE) and Classification Without Labels (CWoLa) techniques for resonant anomaly detection.

The dataset used for anomaly detection in autonomous systems using video and IMU data.

The MVTec anomaly detection dataset is a public dataset for evaluating image-based anomaly detection in various manufacturing domains.