For hyperspectral image (HSI) change detection (CD), multiscale features are usually used
to construct the detection models. However, the existing studies only consider the multiscale …

Strip steel is an indispensable material in the manufacturing industry and the defects of the
surface directly determine the quality. Due to the diversity and complexity of surface defects …

With the rapid development of deep learning technology, a variety of network models for
classification have been proposed, which is beneficial to the realization of intelligent waste …

Billions of smartphone users throughout the world have come to expect, and rely upon,
intuitive, reliable and accurate maps, directions, turn-by-turn navigation and other location …

Eco-friendly navigation (aka eco-routing) finds a route from A to B in a road network that
minimizes the greenhouse gas (GHG) emission or fuel/energy consumption of the traveling …

This work evaluated the phase prediction capability of high entropy alloys using four
supervised machine learning models K-Nearest Neighbors (KNN), Multinomial Regression …

Accurate and universal prediction of in-tube condensation heat transfer coefficients (HTCs)
is vital for designing compact condensers. This study presents machine learning (ML) …

Citrus fruits do not ripen at the same time in natural environments and exhibit different
maturity stages on trees, hence it is necessary to realize selective harvesting of citrus picking …

The prediction of molecules toxicity properties plays an crucial role in the realm of the drug
discovery, since it can swiftly screen out the expected drug moleculars. The conventional …

Rice leaf diseases are important causes of poor rice yields, and accurately identifying
diseases and taking corresponding measures are important ways to improve yields …