RT‐Unet: An advanced network based on residual network and transformer for medical image segmentation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22956
Abstract: For the past several years, semantic segmentation method based on deep learning, especially Unet, have achieved tremendous success in medical image processing. The U‐shaped topology of Unet can well solve image segmentation tasks. However, due… read more here.
Keywords: residual network; network; unet; segmentation ... See more keywords
No projection in the residual network
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1389-z
Abstract: Convolution networks continue to create state-of-the-art results in computer vision, and the Residual Network is an important milestone. In the original residual network, 1 $$\times $$× 1 convolution with stride 2 is used as the… read more here.
Keywords: residual network; projection residual; network;
Deep residual network for highly accelerated fMRI reconstruction using variable density spiral trajectory
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.02.070
Abstract: Abstract Compressed sensing has proved itself as a useful technique for accelerating time-consuming fMRI acquisition. However, its intrinsic iterative algorithm of solving optimization problems limits its practical usage. In addition, it may still suffer from… read more here.
Keywords: reconstruction; image; network; fmri reconstruction ... See more keywords
Learning crowd behavior from real data: A residual network method for crowd simulation
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.04.141
Abstract: Abstract Traditional methods of crowd evacuation simulation reduce the visual realism of crowd motion modeling due to hypothetical scenarios and rules. Data-driven methods are an effective way to enhance the visual realism of crowd simulation.… read more here.
Keywords: residual network; crowd simulation; method; simulation ... See more keywords
Grape sugar content prediction with multispectral alignment and improved residual network
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-20848-3
Abstract: Sugar content is a crucial indicator of grape ripeness and grading, and developing non-contact and non-destructive sugar content detection devices is essential for grape-picking robots and sorting platforms. Spectroscopy, which can detect the chemical composition… read more here.
Keywords: residual network; grape sugar; sugar; sugar content ... See more keywords
Smart crop disease monitoring system in IoT using optimization enabled deep residual network
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-85486-1
Abstract: Abstract The Internet of Things (IoT) has recently attracted substantial interest because of its diverse applications. In the agriculture sector, automated methods for detecting plant diseases offer numerous advantages over traditional methods. In the current… read more here.
Keywords: disease; deep residual; plant; network ... See more keywords
Hybrid multi‐scale residual network for high‐voltage circuit breakers fault diagnosis
Sign Up to like & getrecommendations! Published in 2025 at "Electronics Letters"
DOI: 10.1049/ell2.70135
Abstract: In this letter, a novel Hybrid Multi‐Scale Residual Network (HMSR‐Net) is proposed to improve the accuracy of fault diagnosis in the spring operating mechanisms of High‐Voltage Circuit Breakers (HVCBs). To facilitate enhanced fault classification across… read more here.
Keywords: hybrid multi; multi scale; high voltage; fault diagnosis ... See more keywords
Intelligent fault diagnosis for electro-hydrostatic actuator based on multisource information convolutional residual network
Sign Up to like & getrecommendations! Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad30b7
Abstract: The electro-hydrostatic actuator (EHA), known for its advantages such as minimal throttling loss, high efficiency, and a significant volume-to-power ratio, has found extensive application in the fields of aeronautics and astronautics. However, ensuring the safety… read more here.
Keywords: diagnosis; electro hydrostatic; hydrostatic actuator; residual network ... See more keywords
An improved residual network using deep fusion for identifying RNA 5-methylcytosine sites
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac532
Abstract: MOTIVATION 5-Methylcytosine (m5C) is a crucial post-transcriptional modification. With the development of technology, it is widely found in various RNAs. Numerous studies have indicated that m5C plays an essential role in various activities of organisms,… read more here.
Keywords: residual network; deep fusion; methylcytosine; model ... See more keywords
Image Reconstruction Based on Fused Features and Perceptual Loss Encoder-Decoder Residual Network for Space Optical Remote Sensing Images Compressive Sensing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3069086
Abstract: Compressive sensing (CS) technology is introduced into space optical remote sensing image acquisition stage, which could make wireless image sensor network node quickly and accurately obtain images in the case of two constraints of limited… read more here.
Keywords: reconstruction; image reconstruction; loss; residual network ... See more keywords
Research on Improved Residual Network Classification Method for Defect Recognition of Thermal Battery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3217238
Abstract: Thermal battery is an ideal power supply for military applications such as artillery and ship equipment. Due to the sheet-type process of the thermal battery, various installation error defects occur in the assembly of thermal… read more here.
Keywords: recognition; residual network; battery; model ... See more keywords