The growing environmental concerns have emerged the necessity of sustainable waste
management of construction and demolition (C&D) wastes. This review explores the …

Simple Summary Early esophageal cancer detection is crucial for patient survival; however,
even skilled endoscopists find it challenging to identify the cancer cells in the early stages. In …

The remarkable growth of deep learning (DL) algorithms in hyperspectral images (HSIs) in
recent years has garnered a lot of research space. This study examines and analyses over …

Hyperspectral images (HSIs) are known for their high dimensionality and wide spectral
bands that increase redundant information and complicate classification. Outliers and mixed …

The convolution neural network (CNN) methods have achieved excellent performance in
hyperspectral image (HSI) classification. However, the convolution network fails to utilize the …

Convolutional neural networks (CNN) has been widely used in the research of multispectral
image compression, but they still face the challenge of extracting spectral feature effectively …

A recent experiment probed how purposeful action emerges in early life by manipulating
infants' functional connection to an object in the environment (ie, tethering an infant's foot to …

With the popularization of unmanned aerial vehicle (UAV) applications and the continuous
development of the power grid network, identifying power line scenarios in advance is very …

Hyperspectral images (HSIs) contain subtle spectral details and rich spatial contextures of
land cover that benefit from developments in spectral imaging and space technology. The …

The fine spectral information contained in hyperspectral images (HSI) is combined with rich
spatial features to provide feature qualities that serve as distinguishing variables for efficient …