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[HTML][HTML] Review of the state of the art of deep learning for plant diseases: A broad analysis and discussion
Deep learning (DL) represents the golden era in the machine learning (ML) domain, and it
has gradually become the leading approach in many fields. It is currently playing a vital role …
has gradually become the leading approach in many fields. It is currently playing a vital role …
[HTML][HTML] Pavement crack image acquisition methods and crack extraction algorithms: A review
W Wang, M Wang, H Li, H Zhao, K Wang, C He… - Journal of Traffic and …, 2019 - Elsevier
The extraction of pavement cracks is always a hard task in image processing. In airport and
road construction, cracking is the main factor for pavement damage, which can decrease the …
road construction, cracking is the main factor for pavement damage, which can decrease the …
Low-rank quaternion approximation for color image processing
Low-rank matrix approximation (LRMA)-based methods have made a great success for
grayscale image processing. When handling color images, LRMA either restores each color …
grayscale image processing. When handling color images, LRMA either restores each color …
Quaternion recurrent neural networks
Recurrent neural networks (RNNs) are powerful architectures to model sequential data, due
to their capability to learn short and long-term dependencies between the basic elements of …
to their capability to learn short and long-term dependencies between the basic elements of …
Dual Quaternion Matrix Equation AXB = C with Applications
Y Chen, QW Wang, LM **e - Symmetry, 2024 - mdpi.com
Dual quaternions have wide applications in automatic differentiation, computer graphics,
mechanics, and others. Due to its application in control theory, matrix equation AXB= C has …
mechanics, and others. Due to its application in control theory, matrix equation AXB= C has …
Quaternion-valued correlation learning for few-shot semantic segmentation
Few-shot segmentation (FSS) aims to segment unseen classes given only a few annotated
samples. Encouraging progress has been made for FSS by leveraging semantic features …
samples. Encouraging progress has been made for FSS by leveraging semantic features …
The quaternion LMS algorithm for adaptive filtering of hypercomplex processes
The quaternion least mean square (QLMS) algorithm is introduced for adaptive filtering of
three-and four-dimensional processes, such as those observed in atmospheric modeling …
three-and four-dimensional processes, such as those observed in atmospheric modeling …
Color image analysis by quaternion-type moments
In this paper, by using the quaternion algebra, the conventional complex-type moments
(CTMs) for gray-scale images are generalized to color images as quaternion-type moments …
(CTMs) for gray-scale images are generalized to color images as quaternion-type moments …
Efficient implementation of quaternion Fourier transform, convolution, and correlation by 2-D complex FFT
The concepts of quaternion Fourier transform (QFT), quaternion convolution (QCV), and
quaternion correlation, which are based on quaternion algebra, have been found to be …
quaternion correlation, which are based on quaternion algebra, have been found to be …
Quaternion convolutional neural networks for heterogeneous image processing
Convolutional neural networks (CNN) have recently achieved state-of-the-art results in
various applications. In the case of image recognition, an ideal model has to learn …
various applications. In the case of image recognition, an ideal model has to learn …