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    Test Purpose Oriented I/O Conformance Test Selection with Colored Petri Nets by Jing Liu, Xinming Ye, Jiantao Zhou

    Published 2014-01-01
    “…This paper proposes an input-output conformance (IOCO) test selection method directed by test purpose model specified with colored Petri nets (CPN). Based on conformance testing oriented CPN models for specifying software functional behaviors and specific test purposes, respectively, feasible test cases are generated, guided by the CPN based IOCO relation, using synchronized model simulation with the proof of the soundness of test generation and the coverage towards test purposes. …”
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    Degradation of Strength and Stiffness of Sandstones Caused by Wetting-Drying Cycles: The Role of Mineral Composition by Lu Chen, Yichao Rui, Yihan Zhao

    Published 2021-01-01
    “…Rocks are usually subjected to the deteriorating effect of cyclic wetting-drying because of the change in moisture content. …”
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    Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images by K. Lakshmi, Sibi Amaran, G. Subbulakshmi, S. Padmini, Gyanenedra Prasad Joshi, Woong Cho

    Published 2025-01-01
    “…The presented XAISS-BMLBT approach initially involves bilateral filtering-based image pre-processing to eliminate the noise. Next, the XAISS-BMLBT technique performs the MEDU-Net+ segmentation process to define the impacted brain regions. …”
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    Comparison of Birth Weights of Pre-Delivery Anemic and Non-Anemic Routine Iron Supplemented Pregnant Women by Tolga Atakul

    Published 2020-03-01
    “…There was no significant association between pre-delivery anemia and birth weight. However, the anemic women group was found to be slightly younger than non-anemic ones according to both criteria. …”
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    GFA-Net: Geometry-Focused Attention Network for Six Degrees of Freedom Object Pose Estimation by Shuai Lin, Junhui Yu, Peng Su, Weitao Xue, Yang Qin, Lina Fu, Jing Wen, Hong Huang

    Published 2024-12-01
    “…To overcome these limitations, we introduce the Geometry-Focused Attention Network (GFA-Net), a novel framework designed for more comprehensive feature extraction by analyzing critical geometric and textural object characteristics. …”
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