This work addressed the problem regarding the optimal integration of battery systems (BS)
in grid-connected networks (GCNs) with the purpose of reducing energy losses and CO2 …

Abstract Citri Reticulatae Pericarpium (CRP) is a kind of important traditional Chinese
medicine and food. Sulfur-fumigation may induce chemical transformation of CRPs with no …

The effective identification of reclaimed vegetation species is important for the subsequent
management of ecological restoration projects in mining areas. Hyperspectral remote …

To achieve high‐accuracy urine specific gravity discrimination and guide the design of four‐
waveband multispectral sensors. A modified combination strategy was attempted to be …

Food adulteration is a global concern, drawing attention from safety authorities due to its
potential health risks. Detecting and categorizing oil adulteration is crucial for consumer …

Bird species classification based on acoustic monitoring has attracted increasing attention.
Two common methods, deep learning and feature extraction-based, are widely applied for …

Hyperspectral imaging systems can simultaneously obtain spectral and spatial information
of fly pupae, especially achieving a large area of spectral information collection in a short …

The time-consuming nature of chemical testing techniques makes them lag behind mineral
processing. Therefore, this article combines visible-infrared reflectance spectroscopy with …

Efficient matching of the preheat-numbers of the molten iron ladle with yield of molten iron in
a single iron time is conducive to reducing energy waste, so it is of great economic …

There are several methods for performing feature extraction, one of which is the Fast Fourier
Transform (FFT). FFT is an effective way to convert signals or time series data to the …