A novel combined method for conveyor belt deviation discrimination under complex operational scenarios
M Gao, S Li, X Chen, Y Wang - Engineering Applications of Artificial …, 2024 - Elsevier
Conveyor belt can enhance transportation efficiency and reduce labor intensity, which is
extensively applied in material transportation. However, the deviation of conveyor belt …
extensively applied in material transportation. However, the deviation of conveyor belt …
Overall particle size distribution estimation method based on kinetic modeling and transformer prediction
Estimating the overall particle size distribution (PSD) on the conveyor is one of the most
important means of monitoring blast furnace production. Due to the harsh production …
important means of monitoring blast furnace production. Due to the harsh production …
Plasticity in diamond nanoparticles: dislocations and amorphization during loading and dislocation multiplication during unloading
This work focuses on the mechanical response of cubic-diamond nanoparticles of several
sizes when subjected to a planar indenter. Three sequential stages were considered, ie …
sizes when subjected to a planar indenter. Three sequential stages were considered, ie …
Updated Lagrangian particle hydrodynamics (ULPH) simulations of underwater bubble motions in three-dimensional space
Rising bubbles are often encountered in many engineering fields and have diverse
applications. A thorough understanding of bubble rising phenomenon is crucial in these …
applications. A thorough understanding of bubble rising phenomenon is crucial in these …
Comparing U-Net and mask R-CNN algorithms for deep learning-based segmentation of electron microscopy images containing cavities for nuclear reactor …
In recent times, deep learning techniques have been utilized for segmenting transmission
electron microscopy (TEM) images. While these tools have been simplified due to open …
electron microscopy (TEM) images. While these tools have been simplified due to open …
MixSegNet: a novel crack segmentation network combining CNN and Transformer
In the domain of road inspection and structural health monitoring, precise crack identification
and segmentation are essential for structural safety and disaster prediction. Traditional …
and segmentation are essential for structural safety and disaster prediction. Traditional …