Researchers at the University of Toronto Institute of Aerospace Studies (UTIAS) have made a significant step towards enabling reliable predictions of complex dynamical systems when there are many ...

Instrumentation is critical for maintaining the accuracy and stability of industrial processes, particularly in measuring and controlling key variables such as flow, pressure, and temperature. However ...

Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants. According to a recently published ...

This paper investigates the empirical relationship between predictive performance, often called predictive power, and interpretability of various Machine Learning algorithms, focusing on bicycle ...