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Dissolution feature differences of carbonate rock within hydro-fluctuation belt located in the Three Gorges Reservoir Area
The stability of geological environment in the Three Gorges Reservoir Area (TGRA) has
experienced severe challenges due to the 30 m hydro-fluctuation belt (HFB). The vertical …
experienced severe challenges due to the 30 m hydro-fluctuation belt (HFB). The vertical …
Quantum convolutional neural network for image classification
G Chen, Q Chen, S Long, W Zhu, Z Yuan… - Pattern Analysis and …, 2023 - Springer
In this paper we propose two scale-inspired local feature extraction methods based on
Quantum Convolutional Neural Network (QCNN) in the Tensorflow quantum framework for …
Quantum Convolutional Neural Network (QCNN) in the Tensorflow quantum framework for …
Parameter adaptive unit-linking dual-channel PCNN based infrared and visible image fusion
The properties like pulse synchronization of neurons and global coupling greatly motivated
researchers to apply pulse coupled neural network (PCNN) models in accomplishing image …
researchers to apply pulse coupled neural network (PCNN) models in accomplishing image …
Research on macroscopic mechanical properties and microscopic evolution characteristic of sandstone in thermal environment
Z Zhang, E Wang, N Li, H Zhang, Z Bai… - Construction and Building …, 2023 - Elsevier
To study macro and micro characteristics of rock and their correlation in high temperature
environment, uniaxial compression experiment is conducted to analyze macroscopic …
environment, uniaxial compression experiment is conducted to analyze macroscopic …
MRI and SPECT image fusion using a weighted parameter adaptive dual channel PCNN
Pulse coupled neural network (PCNN) is widely used in image fusion framework due to its
global coupling and pulse synchronization of neurons. However, its manual setting of …
global coupling and pulse synchronization of neurons. However, its manual setting of …
Improved box-counting methods to directly estimate the fractal dimension of a rough surface
Rough surfaces exist widely in nature, and the measurement of these surfaces' fractal
dimension is beneficial for understanding their formation mechanism and effect. The basic …
dimension is beneficial for understanding their formation mechanism and effect. The basic …
Investigation of the relationship between gel strength and microstructure of surimi gel induced by dense phase carbon dioxide based on quantitative analysis
W Duan, H Qiu, KK Htwe, Q Sun, Z Han, Z Wang… - Food …, 2024 - Elsevier
The microstructure of a surimi product determines its quality. Dense phase carbon dioxide
(DPCD) can induce surimi gel formation, and the gel strength of the product are significantly …
(DPCD) can induce surimi gel formation, and the gel strength of the product are significantly …
Fractal dimension based parameter adaptive dual channel PCNN for multi-focus image fusion
Multi-focus image fusion combines the focused parts of multiple images of the same scene
to generate a fully focused image. Dual Channel Pulse coupled neural network (DCPCNN) …
to generate a fully focused image. Dual Channel Pulse coupled neural network (DCPCNN) …
Quantification and acoustic emission characteristics of sandstone damage evolution under dry–wet cycles
H Zhang, K Lu, W Zhang, D Li, G Yang - Journal of building Engineering, 2022 - Elsevier
Rocks are continuously affected by dry–wet cycles, which leads to intensified weathering
and deterioration of the mechanical properties and often triggers engineering disasters. This …
and deterioration of the mechanical properties and often triggers engineering disasters. This …
An improved differential box counting method to measure fractal dimensions for pavement surface skid resistance evaluation
Fractal dimension had been recognized as a texture indicator to evaluate skid resistance
performance of pavement surface. One of the most frequently used methodologies to …
performance of pavement surface. One of the most frequently used methodologies to …