1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.SY2025
Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis
Saba Sanami, Hesam Mosalli, Yu Yang +2
As the number of electric vehicles (EVs) continues to grow, the demand for charging stations is also increasing, leading to challenges such as long wait times and insufficient infr…
cs.LG2025★ 1 cited
Calibrated Unsupervised Anomaly Detection in Multivariate Time-series using Reinforcement Learning
Saba Sanami, Amir G. Aghdam
This paper investigates unsupervised anomaly detection in multivariate time-series data using reinforcement learning (RL) in the latent space of an autoencoder. A significant chall…
eess.SP2025
Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder
Saba Sanami, Amir G. Aghdam
Reliable aero-engine anomaly detection is crucial for ensuring aircraft safety and operational efficiency. This research explores the application of the Fisher autoencoder as an un…