Wind forecasting, which is essential for numerous services and safety, has significantly
improved in accuracy due to machine learning advancements. This study reviews 23 articles …

Prediction of streamflow as a crucial source of hydrological information plays a central role
in various fields of water resources projects. While accurate daily streamflow forecasts are …

Reducing the thermal equilibrium time is one effective way to improving the efficiency and
utilization and ensuring the accuracy of machine tools. This paper proposed the look-ahead …

Wind direction nowcasting is crucial in various sectors, particularly for ensuring aviation
operations and safety. In this context, the TELMo (Time-series Embeddings from Language …

In physical therapy, exercises improve range of motion, muscle strength, and flexibility,
where motion-tracking devices record motion data during exercises to improve treatment …

State of charge and state of energy are essential performance indicators of the battery
management system and the key to reflecting the remaining capacity of batteries. Aiming at …

This study introduces a high-resolution wind nowcasting model designed for aviation
applications at Madeira International Airport, a location known for its complex wind patterns …

This work introduces a deep learning architecture tailored for accurate wind speed and
direction forecasting for airports using a grid-based input. Moving beyond the limitations of …

There are numerous uses of human body motion analysis, including rehabilitation of
patients, training of athletes and others. Use of Inertial Measurement Units (IMUs) is one …

A real-time wind velocity vector and parameters estimation and wind model identification
approach using a machine learning technique is addressed in this paper. The proposed …