Showing 421 - 440 results of 461 for search '"pyramidal"', query time: 0.05s Refine Results
  1. 421

    CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

    Published 2025-01-01
    “…To address these problems, an improved significance object detection network—CGDINet (Coordinate Attention-Group Consensus Aggregation Module-Depth Auxiliary Module-Inverse Saliency Pyramid Reconstruction Network)—is proposed. …”
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    Article
  2. 422

    Summary of Evidence on Nutritional Management for Patients Undergoing Chemotherapy by Xin Dan, Ya‐Lin He, Ya‐Lin Tian, Tang‐Lin Chen, Jia‐Yi Yu

    Published 2024-12-01
    “…Method According to the “6S” evidence resource pyramid model, clinical decision‐making tools, guidelines, expert consensus, and systematic reviews on nutritional management for chemotherapy patients were systematically retrieved from national and international databases. …”
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  3. 423

    DSMF-Net: Dual Semantic Metric Learning Fusion Network for Few-Shot Aerial Image Semantic Segmentation by Xiyu Qi, Yidan Zhang, Lei Wang, Yifan Wu, Yi Xin, Zhan Chen, Yunping Ge

    Published 2025-01-01
    “…On the other hand, we design a pyramid-based fusion and condensation mechanism to adaptively merge and couple the multisemantic information from support and query images. …”
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    Article
  4. 424

    SwinClustering: a new paradigm for landscape character assessment through visual segmentation by Tingting Huang, Tingting Huang, Bo Huang, Bo Huang, Sha Li, Haiyue Zhao, Xin Yang, Jianning Zhu

    Published 2025-02-01
    “…By extracting semantic features through the GIS-aware Swin Transformer backbone network and leveraging the Feature Pyramid Decoder for segmentation clustering, SwinClustering offers a comprehensive analysis of landscape characteristics. …”
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    Article
  5. 425

    A Lightweight Network for Ship Detection in SAR Images Based on Edge Feature Aware and Fusion by Yuming Li, Jin Liu, Xingye Li, Xiliang Zhang, Zhongdai Wu, Bing Han

    Published 2025-01-01
    “…Furthermore, a lightweight feature fusion network, Filter-Pruned Bi-directional Feature Pyramid Network (FP-BiFPN), is carefully designed, which can not only suppresses background information, but also accentuates ship targets. …”
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    Article
  6. 426

    An Improved YOLOv8 Model for Strip Steel Surface Defect Detection by Jinwen Wang, Ting Chen, Xinke Xu, Longbiao Zhao, Dijian Yuan, Yu Du, Xiaowei Guo, Ning Chen

    Published 2024-12-01
    “…A bidirectional feature pyramid network is introduced at the neck of the model to improve feature transmission efficiency. …”
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    Article
  7. 427

    An Investigation of Infrared Small Target Detection by Using the SPT–YOLO Technique by Yongjun Qi, Shaohua Yang, Zhengzheng Jia, Yuanmeng Song, Jie Zhu, Xin Liu, Hongxing Zheng

    Published 2025-01-01
    “…Thus, the model’s detection capability for small targets has been enhanced. Then, the pyramid level 2 feature map with minimum receptive field and maximum resolution is added to the neck, which reduces the loss of positional information during feature sampling. …”
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    Article
  8. 428

    LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach by Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin

    Published 2025-01-01
    “…Furthermore, We employed the Generalized Feature Pyramid Network (GFPN) for feature fusion in the network's neck, enhancing the network's adaptability to features of varying scales. …”
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    Article
  9. 429

    An Efficient Group Convolution and Feature Fusion Method for Weed Detection by Chaowen Chen, Ying Zang, Jinkang Jiao, Daoqing Yan, Zhuorong Fan, Zijian Cui, Minghua Zhang

    Published 2024-12-01
    “…Leveraging GCAA-Fusion and PAFPN, we developed an Adaptive Feature Fusion (AFF) feature pyramid structure that amplifies the model’s feature extraction capabilities. …”
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    Article
  10. 430

    A Summary of the Best Evidence for Wet Pack Management by Yi L, Chen Y, Hu R

    Published 2025-01-01
    “…Liangying Yi,1,2 Yanhua Chen,1,2 Ruixue Hu1,2 1Department of Sterile Processing Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 2Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, People’s Republic of ChinaCorrespondence: Yanhua Chen, West China Second University Hospital, Sichuan University, No. 20, Section 3, South Renmin Road, Chengdu, Sichuan, 610041, People’s Republic of China, Email 402888515@qq.comBackground: Wet pack after steam sterilization of medical devices in healthcare facilities are unacceptable.Purpose: To retrieve, evaluate and integrate the best evidence related to wet pack management.Methods: We searched the JBI, Up To Date, BMJ, National Guideline Clearinghouse (NGC), National Institute for Health and Care Excellence (NICE), Scottish Intercollegiate Guidelines Network (SIGN), Cochrane library, PubMed, Guideline International Network (GIN), AORN Journal, and other databases using the pyramid “ 6S” model for guidelines, expert consensus, systematic reviews, evidence summaries, decisions, recommended practices, and technical reports on wet pack management. …”
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  11. 431

    BRAIN CHANGER. Felice Jacka, 321 pages, Macmillan, 2019 (ISBN: 978-1-76055-651-8) by Cécil J.W. Meulenberg

    Published 2020-12-01
    “…Also included is the Modified Mediterranean Diet (ModiMED) food pyramid, and several ModiMEd recipies (used in the SMILES study), as well a weekly meal planner, that all could be of use to get started with an easy intervention study. …”
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    Article
  12. 432

    Tomato yellow leaf curl virus detection based on cross-domain shared attention and enhanced BiFPN by Henghui Mo, Linjing Wei

    Published 2025-03-01
    “…The network’s neck incorporates an enhanced Bidirectional Feature Pyramid Network (BiFPN), integrating feature maps of various scales to boost early symptom detection capabilities. …”
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    Article
  13. 433

    MFFTNet: A Novel 3D Point Cloud Segmentation Network Based on Multi-Scale Feature Fusion and Transformer Architecture by Hao Bai, Xiongwei Li, Qing Meng, Shulong Zhuo, Lili Yan

    Published 2025-01-01
    “…The encoder is designed as a hierarchical pyramid structure that extracts relatively sparse local center points and fuses local features during progressive downsampling. …”
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    Article
  14. 434

    Green Apple Detection Method Based on Multidimensional Feature Extraction Network Model and Transformer Module by Wei Ji, Kelong Zhai, Bo Xu, Jiawen Wu

    Published 2025-01-01
    “…Firstly, an improved DETR network main feature extraction module adopts the ResNet18 network and replaces some residual layers with deformable convolutions (DCNv2), enabling the model to better adapt to pollution-free fruit changes at different scales and angles, while eliminating the impact of microbial contamination on fruit testing; Subsequently, the extended spatial pyramid pooling model (DSPP) and multiscale residual aggregation module (FRAM) are integrated, which help reduce feature noise and minimize the loss of underlying features during the feature extraction process. …”
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  15. 435

    Analysis of Feature Extraction and Anti-Interference of Face Image under Deep Reconstruction Network Algorithm by Jin Yang, Yuxuan Zhao, Shihao Yang, Xinxin Kang, Xinyan Cao, Xixin Cao

    Published 2021-01-01
    “…To explore the anti-interference performance of convolutional neural network (CNN) reconstructed by deep learning (DL) framework in face image feature extraction (FE) and recognition, in the paper, first, the inception structure in the GoogleNet network and the residual error in the ResNet network structure are combined to construct a new deep reconstruction network algorithm, with the random gradient descent (SGD) and triplet loss functions as the model optimizer and classifier, respectively, and it is applied to the face recognition in Labeled Faces in the Wild (LFW) face database. Then, the portrait pyramid segmentation and local feature point segmentation are applied to extract the features of face images, and the matching of face feature points is achieved using Euclidean distance and joint Bayesian method. …”
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  16. 436

    Automated diagnosis and grading of lumbar intervertebral disc degeneration based on a modified YOLO framework by Aobo Wang, Tianyi Wang, Xingyu Liu, Xingyu Liu, Xingyu Liu, Ning Fan, Shuo Yuan, Peng Du, Congying Zou, Ruiyuan Chen, Yu Xi, Zhao Gu, Hongxing Song, Qi Fei, Yiling Zhang, Yiling Zhang, Lei Zang

    Published 2025-01-01
    “…The automated diagnostic model was based on the YOLOv5 network, modified by adding an attention module in the Cross Stage Partial part and a residual module in the Spatial Pyramid Pooling-Fast part. The model’s diagnostic performance was evaluated by calculating the precision, recall, F1 score, and area under the receiver operating characteristic curve.ResultsIn the internal test set, the model achieved precisions of 0.78–0.91, 0.90–0.92, and 0.82 and recalls of 0.86–0.91, 0.90–0.93, and 0.81–0.88 for disc degeneration grading, disc herniation diagnosis, and HIZ detection, respectively. …”
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  17. 437

    MOLECULAR SCREENING OF POTATO VARIETIES BRED IN THE NORTHWESTERN ZONE OF THE RUSSIAN FEDERАTION by Т. A. Gavrilenko, N. S. Klimenko, O. Yu. Antonova, V. A. Lebedeva, Z. Z. Evdokimova, N. M. Gadjiyev, O. V. Apalikova, N. V. Alpatyeva, L. I. Kostina, N. M. Zoteyeva, F. T. Mamadbokirova, K. V. Egorova

    Published 2018-03-01
    “…The information about the presence of markers of R genes and about cytoplasm types of hybrids and varieties will allow an effective implementation of further breeding programs for resistance to a complex of pathogens, including pyramiding of R genes. The data of molecular screening made it possible to specify the pedigrees of several varieties and hybrids that have been created over several decades.…”
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  18. 438

    A Large Ship Detection Method Based on Component Model in SAR Images by Tiancheng Dong, Taoyang Wang, Xuefei Li, Jianzhi Hong, Maoqiang Jing, Tong Wei

    Published 2025-01-01
    “…Existing multiscale ship detection algorithms for SAR data employ multiscale feature pyramids or anchor-free extractors to capture features from large ship targets. …”
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    Article
  19. 439

    Domain-Knowledge-Guided Multisource Fusion Network for Small Water Bodies Mapping Using PlanetScope Multispectral and Google Earth RGB Images by Pu Zhou, Xiaodong Li, Yihang Zhang, Yalan Wang, Yuyang Li, Xiang Li, Chi Zhou, Laiyin Shen, Yun Du

    Published 2025-01-01
    “…DKFNet incorporates a domain-knowledge-based atrous spatial pyramid pooling module that extracts the multiscale features of water bodies from the NDWI image. …”
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  20. 440

    Genetic aspects of potato resistance to phytophthorosis by T. S. Frolova, V. A. Cherenko, O. I. Sinitsyna, A. V. Kochetov

    Published 2021-04-01
    “…Both types of traits are important for potato breeding: quantitative resistance due to R-genes is quickly overcome by the pathogen, while quantitative trait loci make it possible to create varieties with almost absolute resistance due to the pyramid of effective genes. The latest approaches in molecular biology make it possible to study translatomic profiles, which makes it possible to look at the interaction of potatoes and the late blight pathogen at a different angle. …”
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