Mostrando 41 - 60 Resultados de 145 Para Buscar '"NeXT"', tiempo de consulta: 0.19s Limitar resultados
  1. 41
    “…The best classification performance is achieved by fusing the depth features output from the ConvNeXt-Base deep network model with shallow features using the proposed FA-Net network, which improved the average accuracy by 15.34 and 10.19 percentage points, respectively, compared with the original ConvNeXt-Base model and the shallow feature-based recognition model. …”
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    FA-Net: A Fused Feature for Multi-Head Attention Recoding Network for Pear Leaf Nutritional Deficiency Diagnosis with Visual RGB-Image Depth and Shallow Features
  2. 42
    “…Firstly, the CBAM is embedded in the ResNeXt50 network to enhance the extraction of image channels and spatial features. …”
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    Optimization of Gearbox Fault Detection Method Based on Deep Residual Neural Network Algorithm
  3. 43
    “…Here, 5672 unique proteins were systematically identified by MS/MS analysis and subcellular protein extraction strategies (neXtProt release 2020-21, MS/MS data are available via ProteomeXchange with identifier PXD003939). …”
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    Deepening into Intracellular Signaling Landscape through Integrative Spatial Proteomics and Transcriptomics in a Lymphoma Model
  4. 44
    “…We employ five convolutional-neural-network-based designs (AlexNet, GoogleNet, Inception V4, Inception ResNet V2 and ResNeXt-50). A collection of DR pictures is created. …”
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    Performance Analysis of Deep-Neural-Network-Based Automatic Diagnosis of Diabetic Retinopathy
  5. 45
    “…And then, a more efficient CNeB is designed based on the ConvNeXt-Block module of the ConvNeXt network to replace the original feature fusion module of YOLOv5s, which improves the spatial interaction ability of feature information and further reduces the complexity of the model. …”
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    A lightweight ship target detection model based on improved YOLOv5s algorithm
  6. 46
    “…We propose an ensemble of Convolutional Neural Networks (CNNs) combining Squeeze and Excitation–based Residual Networks with the next dimension (SE-ResNeXT) and Long Short-Term Memory (LSTM) Networks in order to address this issue. …”
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    Automated Computer-Aided Detection and Classification of Intracranial Hemorrhage Using Ensemble Deep Learning Techniques
  7. 47
    “…The SSFPD uses the reduced ResNeXt to improve classification performance of the network and retain more detailed information for small-sized vehicle logo detection. …”
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    Vehicle Logo Recognition Based on Enhanced Matching for Small Objects, Constrained Region and SSFPD Network
  8. 48
    “…TbsNet can be competent for some downstream tasks in computer vision, such as medical image segmentation, and thus is competitive with prior state-of-the-art deep networks such as ResNet, ResNeXt, RepVgg, ParNet, ConvNeXt, and MobileNet.…”
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    TbsNet: the importance of thin-branch structures in CNNs
  9. 49
    “…The INLM (integration nonlocal means) filtering algorithm, for example, decreases the interference of surrounding noise on the features. Then, utilizing ResNeXt50 as the backbone, we create DCCAM-MRNet, a novel tomato image recognition network. …”
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    DCCAM-MRNet: Mixed Residual Connection Network with Dilated Convolution and Coordinate Attention Mechanism for Tomato Disease Identification
  10. 50
    “…The FLOPS and parameters are only 30.7% and 30.6% of ConvNeXt-Tiny respectively, indicating that the model can quickly and effectively classify JSD and is of great practical value.…”
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    JujubeNet: A high-precision lightweight jujube surface defect classification network with an attention mechanism
  11. 51
    “…The ResNeXt model is an improvement over the existing ResNet models. …”
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    EDLDR: An Ensemble Deep Learning Technique for Detection and Classification of Diabetic Retinopathy
  12. 52
    Publicado 2017
    “…Steve Jobs created a NeXT generation operating system. The NeXTstation provides functionality that other computers are just providing today.The NS Color I/O cable attaches to the back of the computer on one end and on the other end the cable is split to connect to the display and the Sound Box. …”
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    NextStation Color
  13. 53
    por Upson, Linus
    Publicado 2019
    “…He was also an engineer at NeXT during the beginnings of the web and at Netscape during the browser wars of the 1990s. …”
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    Making of the Modern Web
  14. 54
    “…This study proposed the use of four vision transformers namely ConvNeXT, MobileNet, Swin, and ViT using sMRI modalities. …”
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    Multi-Slice Generation sMRI and fMRI for Autism Spectrum Disorder Diagnosis Using 3D-CNN and Vision Transformers
  15. 55
    “…The ConvNeXt model was trained using training (N=4,937 images) and validation (N=619 images) sets for 15 epochs. …”
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    Paper 47: Deep Learning Accurately Predicts Supraspinatus Pathology on Shoulder Magnetic Resonance Imaging
  16. 56
    “…For benign variants, 77% of ClinVar benign variants, for which neXtProt Cancer variant portal has data, shows either no or mild experimental functional defects. …”
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    A new bioinformatics tool to help assess the significance of BRCA1 variants
  17. 57
    “…Finally, we have released our data and scripts at https://zenodo.org/record/5831786 and https://github.com/ContNeXt/, respectively and developed ContNeXt (https://contnext.scai.fraunhofer.de/), a web application to explore the networks generated in this work. …”
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    Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets
  18. 58
    “…Six architectures were evaluated, including AlexNet, ResNet (18, 34, and 50 layers), ResNeXt101, and DarkNet. The best regression model showed a mean absolute error of 7.70 and a correlation of 0.89. …”
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    Deep Learning Regression Approaches Applied to Estimate Tillering in Tropical Forages Using Mobile Phone Images
  19. 59
    por Pan, Kailai, Hu, Haiyang, Gu, Pan
    Publicado 2023
    “…In particular, we propose the NeXt backbone for extraction and fusion of image features. …”
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    WD-YOLO: A More Accurate YOLO for Defect Detection in Weld X-ray Images
  20. 60
    Publicado 2016
    “…In particular, SIB's Bioinformatics resource portal ExPASy features over 150 resources, including UniProtKB/Swiss-Prot, ENZYME, PROSITE, neXtProt, STRING, UniCarbKB, SugarBindDB, SwissRegulon, EPD, arrayMap, Bgee, SWISS-MODEL Repository, OMA, OrthoDB and other databases, which are briefly described in this article.…”
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    The SIB Swiss Institute of Bioinformatics’ resources: focus on curated databases
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