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  1. 1761

    The Role of Islamic Religious Education Teachers in Transforming the Culture of Resignation Towards Natural Disasters in Indonesia by Faqihuddin Achmad, Fauzan Ilyasa Faisal, Husniah Lu’lu’, Rahardja Muhammad Nurfaizi Arya, Rambe Anggi Afrina, Dwietama Regita Ayu, Putri Annisa Ningtias Cevie

    Published 2024-01-01
    “…This research aims to explore the influence of Islamic Religious Education teachers in transforming this culture of resignation that prevails in the context of disasters. …”
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    Article
  2. 1762

    Analysis of Antioxidant Activity of Chinese Brown Rice by Fourier-Transformed Near Infrared Spectroscopy and Chemometrics by Xianshu Fu, Xiaoping Yu, Zihong Ye, Haifeng Cui

    Published 2015-01-01
    “…With standard normal variate (SNV) transformation and the selected wavelength ranges, the root mean squared error of prediction (RMSEP) is 0.062 mg GAE g−1 for TPC and 0.141 mg GAE g−1 for DPPH radical, respectively. …”
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  3. 1763

    Darboux Transformations and Soliton-Like Solutions of a New System Associated with the Negative AKNS System by Shilong Huang, Hongmin Li

    Published 2022-01-01
    “…By its reciprocal relation with the first negative flow in the AKNS hierarchy, we construct three Darboux-Bäcklund transformations for the new system and obtain some soliton-like solutions.…”
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  4. 1764

    A Family of Integrable Different-Difference Equations, Its Hamiltonian Structure, and Darboux-Bäcklund Transformation by Xi-Xiang Xu, Meng Xu

    Published 2018-01-01
    “…Based on the gauge transformation between the Lax pair, a Darboux-Bäcklund transformation of the first nonlinear different-difference equation in obtained family is deduced. …”
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    Article
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    FEVT-SAR: Multicategory Oriented SAR Ship Detection Based on Feature Enhancement Vision Transformer by Minding Fang, Yu Gu, Dongliang Peng

    Published 2025-01-01
    Subjects: “…Feature enhancement vision transformer (FEViT)…”
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  9. 1769
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    On the Coupling of the Homotopy Perturbation Method and New Integral Transform for Solving Systems of Partial Differential Equations by E. E. Eladdad, E. A. Tarif

    Published 2019-01-01
    “…In the current work, a combination between a new integral transform and the homotopy perturbation method is presented. …”
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    Growth and Approximation of Laplace-Stieltjes Transform with p,q-Proximate Order Converges on the Whole Plane by Yong Qin Cui, Hong Yan Xu

    Published 2020-01-01
    “…One purpose of this paper is to study the growth of entire functions defined by Laplace-Stieltjes transform converges on the whole complex plane, by introducing the concept of p,q-proximate order, and one equivalence theorem of the p,q-proximate order of Laplace-Stieltjes transforms is obtained. …”
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  13. 1773
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    Optimized deep learning model with integrated spectrum focus transformer for pavement distress recognition and classification by Wenlin Wu, Fenghua Zhu, Zheng Li, Xue Li, Xiaowei Li, Jinwen Wang

    Published 2025-01-01
    “…This paper proposes a spectrum focus transformer (SFT) layer, which processes the signal spectrum and focuses on important frequency components. …”
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  15. 1775

    Lightweight Transformer traffic scene semantic segmentation algorithm integrating multi-scale depth convolution by Gang XIE, Quanyi WANG, Xinlin XIE, Jian’an WANG

    Published 2023-10-01
    “…Aiming at the problems of discontinuous segmentation of thin strip objects that were easy to blend into the surrounding background and a large number of model parameters in the semantic segmentation algorithm of traffic scenes, a lightweight Transformer traffic scene semantic segmentation algorithm integrating multi-scale depth convolution was proposed.First, a multi-scale strip feature extraction module (MSEM) was constructed based on deep convolution to enhance the representation ability of thin strip target features at different scales.Secondly, a spatial detail auxiliary module (SDAM) was designed using the convolutional inductive bias feature in the shallow network to compensate for the loss of deep spatial detail information to optimize object edge segmentation.Finally, an asymmetric encoding-decoding network based on the Transformer-CNN framework (TC-AEDNet) was proposed.The encoder combined Transformer and CNN to alleviate the loss of detail information and reduce the amount of model parameters; while the decoder adopted a lightweight multi-level feature fusion design to further model the global context.The proposed algorithm achieves the mean intersection over union (mIoU) of 78.63% and 81.06% respectively on the Cityscapes and CamVid traffic scene public datasets.It can achieve a trade-off between segmentation accuracy and model size in traffic scene semantic segmentation and has a good application prospect.…”
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