Showing 1,121 - 1,140 results of 2,900 for search '(feature OR features) parameters computational', query time: 0.19s Refine Results
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    RMIS-Net: a fast medical image segmentation network based on multilayer perceptron by Binbin Zhang, Guoliang Xu, Yiying Xing, Nanjie Li, Deguang Li

    Published 2025-05-01
    “…To address the persistent challenges of computational complexity and efficiency limitations in existing methods, we propose RMIS-Net—an innovative lightweight segmentation network with three core components: a convolutional layer for preliminary feature extraction, a shift-based fully connected layer for parameter-efficient spatial modeling, and a tokenized multilayer perceptron for global context capture. …”
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    Enhanced YOLOv8 for Efficient Parcel Identification in Disordered Logistics Environments by Han Yu, Zhang Fengshou, Zhuang Gaoshuai, Qu Yuanhao, He Aohui, Duan Qingyang

    Published 2025-04-01
    “…The proposed algorithm introduces the C2f-OR module to reduce parameters and computation, the Conv-Ghost module for efficient feature extraction, and the HIoU loss function to enhance identification accuracy. …”
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    Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images by Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, Mohamed Ben Ammar, Monji Kherallah

    Published 2025-01-01
    “…This hybrid architecture aims to enhance feature extraction and classification accuracy with shorter training time and fewer parameters by minimizing the number of input patches employed during training, while incorporating tokenization of input patches using convolutional layers and encoder transformer layers to process patches across all network layers for fast and accurate breast cancer tumor subtype classification. …”
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    Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers by Arafet Sbei, Khaoula ElBedoui, Walid Barhoumi

    Published 2025-08-01
    “…This efficiency is attributed to the distillation process that retains essential features while reducing computational demands. Notably, DistilBERT achieved an overall accuracy of 0.86, significantly surpassing BERT’s 0.55, GPT-2’s 0.36, XLNet’s 0.51, Ernie 2.0’s 0.72, Electra’s 0.74, ALBERT’s 0.72, and RoBERTa’s 0.71. …”
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    Improved immersed boundary/wall modeling method for RANS solver coupled with wall functions: application to Cartesian grid systems by Xueying Yu, David R. Fuhrman, Yanlin Shao

    Published 2025-12-01
    “…Generalized wall functions are introduced to enhance computational efficiency for problems with high Reynolds numbers. …”
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