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AGD-Net: Attention-Guided Dense Inception U-Net for Single-Image Dehazing
Image hazing poses a significant challenge in various computer vision applications, degrading the visual quality and reducing the perceptual clarity...
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SCAU-net: 3D self-calibrated attention U-Net for brain tumor segmentation
Recently, U-Net architecture with its strong adaptability has become prevalent in the field of MRI brain tumor segmentation. Meanwhile, researchers...
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Pixel U-Net: an improved version of U-Net for binary segmentation of wind turbine blades
Wind turbine technicians face significant risks of fatal injuries, which can be mitigated by utilizing drones to capture images of wind turbine...
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Introducing .NET MAUI Build and Deploy Cross-platform Applications Using C# and .NET Multi-platform App UI
Interested in giving Microsoft’s new Multi-platform App UI (MAUI) a try? This book provides developers with a comprehensive set of tools and hands-on...
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EU-net: An automated CNN based ebola U-net model for efficient medical image segmentation
Medical image segmentation (MIS) plays an important role in rapid disease detection and prognosis. U-Net, a widely used neural network in the field...
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UAV scale enhanced cross-modality graph matching net-USCMGM-net
Image matching for cross-modality is always a hotspot and difficulty in the unmanned aerial vehicle (UAV) scene-matching visual navigation. Aiming at...
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MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation
Biomedical image segmentation plays a central role in quantitative analysis, clinical diagnosis, and medical intervention. In the light of the fully...
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Petri Net Computers
Weak and strong Petri net computers are introduced as two different means of calculating functions from vectors of natural numbers to natural...
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ERCU-Net: segmentation of road potholes using enhanced residual convolutional block based on U-Net for ADAS
Potholes are one of the most common forms of road damage, and they can have a negative impact on vehicle conditions, comfort while driving, and road...
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WTransU-Net: Wiener deconvolution meets multi-scale transformer-based U-net for image deblurring
Deblurring is a classical image restoration problem. Although recent methods have shown promising deblurring performance, most methods still cannot...
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BBBC-U-Net: optimizing U-Net for automated plant phenoty** using big bang big crunch global optimization algorithm
The paper proposes a novel approach to optimize the U-Net architecture for automated plant phenoty** using the Big Bang Big Crunch (BBBC)...
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An optimized visual measurement method for cell parallelism based on edge-aware dynamic re-weighted U-Net (EADRU-Net)
Due to the reflective surfaces of battery cells, which introduce ambiguities during visual inspection, segmenting light strip edges accurately and...
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Coverage visualization and analysis of net inscriptions in coloured Petri net models
High-level Petri nets such as coloured Petri nets (CPNs) are characterized by the combination of Petri nets and a high-level programming language. In...
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Investigating the Efficiency of Using U-Net, Erf-Net and DeepLabV3 Architectures in Inverse Lithography-based 90-nm Photomask Generation
AbstractThe paper deals with the inverse problem of computational lithography. We turn to deep neural network algorithms to compute photomask...
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WU-Net++: A novel enhanced Weighted U-Net++ model for brain tumor detection and segmentation from multi-parametric magnetic resonance scans
Brain tumor detection and segmentation from multi-parametric magnetic resonance (MR) scans are crucial for the prognosis and treatment planning of...
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Crack-Att Net: crack detection based on improved U-Net with parallel attention
In recent years, the demand for automatic crack detection has increased rapidly. Due to the particularity of crack images, that is, the proportion of...
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Petri Net Primer A Compendium on the Core Model, Analysis, and Synthesis
Petri nets model concurrent and distributed systems where active components communicate through the production and absorption of various kinds of...
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SAR U-Net: Spatial attention residual U-Net structure for water body segmentation from remote sensing satellite images
The analysis of remote-sensing images always requires the extraction of data about the aquatic environment. However, it might be challenging to...
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Attention-augmented U-Net (AA-U-Net) for semantic segmentation
Deep learning-based image segmentation models rely strongly on capturing sufficient spatial context without requiring complex models that are hard to...
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ECU-Net: multi-scale salient boundary detection and contrast feature enhancement U-Net for breast ultrasound image segmentation
U-Net and its variants show excellent performance in medical image segmentation. However, due to the information loss caused by down-sampling and the...
