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Article
Reachability analysis of linear systems
In this paper, we propose a decision procedure of reachability for a linear system \(\xi '=A\xi +u\) ...
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Article
Open AccessChromosome-scale genome assemblies of Himalopsyche anomala and Eubasilissa splendida (Insecta: Trichoptera)
Trichoptera is one of the most evolutionarily successful aquatic insect lineages and is highly valued value in adaptive evolution research. This study presents the chromosome-level genome assemblies of Himalopsyc...
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Article
Open AccessTransfer learning–based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma
To introduce a three-dimensional convolutional neural network (3D CNN) leveraging transfer learning for fusing PET/CT images and clinical data to predict EGFR mutation status in lung adenocarcinoma (LADC).
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Article
An extended sparse model for blind image deblurring
Blind image deblurring is a classical ill-posed problem that usually requires constraints on the clean image, the blur kernel, and noise to make it well-posed. Recently, a simple yet effective sparse norm ...
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Chapter and Conference Paper
A Lightweight Sementic Segmentation Model for Metro Tunnel Scene Based on Vehicle Front Camera
Metro intrusion seriously affects the safety of metro operation. Semantic segmentation is the main content of the research on metro intrusion. Tunnels account for a large proportion of metro lines, by processi...
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Chapter and Conference Paper
A Fine-Grained Method for Detecting Defects of Track Fasteners Using RGB-D Image
To ensure the safety of railway transportation, it is necessary to promote the defect detection of track fasteners. However, most current inspections focus on coarse-grained detection of defects, while neglect...
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Chapter and Conference Paper
A Railway Similarity Multiple Object Tracking Framework Based on Vehicle Front Video
Real-time awareness of the service status of facilities and equipment in metro tunnels is essential for the safe movement of trains. For low illumination underground tunnel environments where objects have high...
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Chapter and Conference Paper
A Lightweight Pedestrian Intrusion Detection Algorithm Based on On-Board Video
In order to enhance the real-time perception of the environment of the train and ensure safety, it is necessary to detect intrusion. Most of the intrusion detection algorithms have large parameters and slow sp...
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Chapter and Conference Paper
A Foreign Object Detection Method for Railway Overhead Lines Based on Few-Shot Learning
It often occurs that foreign objects hang on railway overhead lines especially in windy days, which may lead to the delay of train, and even cause loss of life and property. With the gradual maturity of comput...
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Article
Open AccessAdditive manufacturing of alloys with programmable microstructure and properties
In metallurgy, mechanical deformation is essential to engineer the microstructure of metals and to tailor their mechanical properties. However, this practice is inapplicable to near-net-shape metal parts produ...
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Article
Author Correction: Transmembrane nuclease NUMEN/ENDOD1 regulates DNA repair pathway choice at the nuclear periphery
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Article
Blind Image Deblurring via Weighted Dark Channel Prior
Blind image deblurring is a challenging problem, which aims to estimate the blur kernel and recover the clear image from the given blurry image. A large number of image priors have been proposed to tackle this...
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Article
Open AccessAssociations between dairy intake and mortality due to all-cause and cardiovascular disease: the Japan Public Health Center-based prospective study
Some studies have investigated the relation between dairy products and mortality, but with inconsistent results.
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Article
Transmembrane nuclease NUMEN/ENDOD1 regulates DNA repair pathway choice at the nuclear periphery
Proper repair of DNA damage lesions is essential to maintaining genome integrity and preventing the development of human diseases, including cancer. Increasing evidence suggests the importance of the nuclear e...
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Article
Image Deconvolution Using Mixed-Order Salient Edge Selection
Salient edge selection is a crucial technique to warrant the success of image deblurring. Current edge-based methods mainly focus on the single salient edge without exploiting the rich structural information o...
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Article
3D sculpture technology innovation based on image segmentation algorithm
At present, 3D modeling technology is simplified due to the improvement of image segmentation algorithm and feature point detection and other related technologies, so it is widely used in major museums. For ex...
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Article
Open AccessThe predictive value of [18F]FDG PET/CT radiomics combined with clinical features for EGFR mutation status in different clinical staging of lung adenocarcinoma
This study aims to construct radiomics models based on [18F]FDG PET/CT using multiple machine learning methods to predict the EGFR mutation status of lung adenocarcinoma and evaluate whether incorporating clinica...
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Article
Correction to: Image deblurring based on enhanced salient edge selection
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Article
Open AccessUnderstanding metabolic alterations after SARS-CoV-2 infection: insights from the patients’ oral microenvironmental metabolites
Coronavirus disease 2019 is a type of acute infectious pneumonia and frequently confused with influenza since the initial symptoms. When the virus colonized the patient's mouth, it will cause changes of the or...
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Article
Image deblurring based on enhanced salient edge selection
Blind image deblurring is a severely ill-posed problem in low-level vision. The success of blind image deblurring relies on statistical priors and well-designed regularizers to obtain a clear image. However, t...
