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  1. 4721

    Zone Specific Fractal Dimension of Retinal Images as Predictor of Stroke Incidence by Behzad Aliahmad, Dinesh Kant Kumar, Hao Hao, Premith Unnikrishnan, Mohd Zulfaezal Che Azemin, Ryo Kawasaki, Paul Mitchell

    Published 2014-01-01
    “…The significance of its association with future episode of stroke event was tested using the Blue Mountain Eye Study (BMES) database and compared against spectrum fractal dimension (SFD) and box-counting (BC) dimension. Kruskal-Wallis analysis revealed FDC as a better predictor of stroke (H=5.80, P=0.016, α=0.05) compared with SFD (H=0.51, P=0.475, α=0.05) and BC (H=0.41, P=0.520, α=0.05) with overall lower median value for the cases compared to the control group. …”
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  2. 4722

    Application of quantitative histomorphometric features in computational pathology by Yujie Shi, Bo Hu, Mingyan Xu, Yunhan Yao, Shuaiqiang Gao, Xiang Xia, Xikai Deng, Jianfeng Liu, Jia Gu, Shifu Chen

    Published 2025-01-01
    “…However, these methods are often criticized for the “black box” issue, a significant limitation of DL. In contrast, traditional feature engineering‐based methods involve well‐defined quantitative input features. …”
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  3. 4723

    Monitoring the reliability of integrated circuits protection against Trojans: encoding and decoding of combinational structures by L. A. Zolotorevich, V. A. Ilyinkov

    Published 2021-09-01
    “…This sample can be used as a black box model. The main idea of breaking a key is to solve a problem without research on a large interval of values of input and output variables.…”
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  4. 4724

    Improving Predictions of Multiple Binary Models in ILP by Tarek Abudawood

    Published 2014-01-01
    “…In most cases they boil down a multiclass problem into multiple black-box binary problems following the one-versus-one or one-versus-rest binarisation techniques and learn a theory for each one. …”
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  5. 4725

    Research on Recognition of Quiet Period of Sandstone Acoustic Emission Based on Four Machine Learning Algorithms by Dong Duan, Xiaojing Feng, Ruizhe Zhang, Xiaoyu Chen, Hongzhi Zhang

    Published 2022-01-01
    “…In the process of establishing the model, the time domain data of acoustic emission were standardized and processed by box diagram method, so as to clean the abnormal data and reduce the dimension, and the frequency domain data were denoised by wavelet four-layer transform and wavelet packet three-layer energy decomposition, and a group of 8 wavelet packet energy parameters were established as frequency domain characteristic parameters. …”
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  6. 4726

    A Feature-Enhanced Small Object Detection Algorithm Based on Attention Mechanism by Zhe Quan, Jun Sun

    Published 2025-01-01
    “…We also introduce Slideloss to improve the model’s learning of difficult samples and ShapeIoU to better account for the shape and scale of bounding boxes. Experiments on datasets like VisDrone2019 show that our method improves accuracy by nearly 10% and recall by about 11% compared to the baseline. …”
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