Researchers propose a new method to generate meteorological data that takes into account the interdependence of meteorological factors, such as temperature, humidity, and solar radiation. Due to the ...

A new study introduces a probabilistic multi-modal depth estimation method that fuses raw camera and LiDAR data at a low level, producing dense and precise depth maps. Unlike conventional high-level ...

In recent years, artificial intelligence has demonstrated tremendous potential for the development and advancement of a wide variety of technologies. A good example is facial direction estimation, ...

Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...

We propose a demand estimation method that allows researchers to estimate substitution patterns from unstructured image and text data. We first employ a series of machine learning models to measure ...