Exploring the impact of Optimised Hyperparameters on Bi-LSTM-based Contextual Anomaly Detector
Year: 2025
Type: preprint
Abstract: Smart Home Data Repository of Time series with Contextual Anomalies (SHoRT-CA) comprises multivariate time series data measuring indoor air quality in a smart home. The repository comprises multiple datasets, including data values of air quality, human activity, and environmental interaction, which contain data recorded at different time intervals and periods. The real-world contextual anomalies are induced into the datasets by performing various experiments to affect the sensors. The repository consists of data files, anomaly descriptions, and figures of sensor values and highlighted anomalies.
Source: arXiv (Cornell University)
Institution: Norwegian University of Science and Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4406880105