Abstract: In this paper, an edge computing-based machine-learning study is conducted for solar inverter power forecasting and droop control in a remote microgrid. The machine learning models and ...

The role involves developing digital twins of AC/DC motors, implementing fault detection algorithms and integrating AI/ML ...

The Tomorrow’s Quants series explores the skills needed by new quant recruits, drawing on a survey of 39 employers, and six ...

Homelessness affects every community, from large urban metros to small rural towns and everything in between. Many factors can lead to individuals living on the streets, including but not limited to ...

Abstract: In traditional binary classification tasks, learning algorithms conventionally distinguish positive and negative samples by leveraging fully labeled training data. However, in practical ...