[HTML][HTML] Revolutionizing construction and demolition waste sorting: Insights from artificial intelligence and robotic applications
The growing environmental concerns have emerged the necessity of sustainable waste
management of construction and demolition (C&D) wastes. This review explores the …
management of construction and demolition (C&D) wastes. This review explores the …
Intelligent identification of early esophageal cancer by band-selective hyperspectral imaging
TJ Tsai, A Mukundan, YS Chi, YM Tsao, YK Wang… - Cancers, 2022 - mdpi.com
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 …
even skilled endoscopists find it challenging to identify the cancer cells in the early stages. In …
A comprehensive systematic review of deep learning methods for hyperspectral images classification
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 …
recent years has garnered a lot of research space. This study examines and analyses over …
IDA: Improving distribution analysis for reducing data complexity and dimensionality in hyperspectral images
ALA Dalal, MAA Al-qaness, Z Cai, EA Alawamy - Pattern Recognition, 2023 - Elsevier
Hyperspectral images (HSIs) are known for their high dimensionality and wide spectral
bands that increase redundant information and complicate classification. Outliers and mixed …
bands that increase redundant information and complicate classification. Outliers and mixed …
Hyperspectral image classification using multi-level features fusion capsule network with a dense structure
J Ren, M Shi, J Chen, R Wang, X Wang - Applied Intelligence, 2023 - Springer
The convolution neural network (CNN) methods have achieved excellent performance in
hyperspectral image (HSI) classification. However, the convolution network fails to utilize the …
hyperspectral image (HSI) classification. However, the convolution network fails to utilize the …
A spectral-spatial feature extraction method with polydirectional CNN for multispectral image compression
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 …
image compression, but they still face the challenge of extracting spectral feature effectively …
Artificial intelligence detects awareness of functional relation with the environment in 3 month old babies
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 …
infants' functional connection to an object in the environment (ie, tethering an infant's foot to …
Power line scene recognition based on convolutional capsule network with image enhancement
K Zou, S Zhao, Z Jiang - Electronics, 2022 - mdpi.com
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 …
development of the power grid network, identifying power line scenarios in advance is very …
Discriminating Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Review
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 …
land cover that benefit from developments in spectral imaging and space technology. The …
A Meta-reinforcement Learning based Hyperspectral Image Classification with Small Sample Set
PYO Amoako, G Cao, D Yang, L Amoah… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
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 …
spatial features to provide feature qualities that serve as distinguishing variables for efficient …