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  1. 401

    Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network by Thuy-Anh Nguyen, Hai-Bang Ly, Hai-Van Thi Mai, Van Quan Tran

    Published 2020-01-01
    “…The results showed that the proposed algorithm was an excellent predictor and might be useful for engineers to avoid time-consuming experiments with the statistical performance indicators, namely, the Pearson correlation coefficient (R), root-mean-squared error (RMSE), and mean squared error (MAE) for the training and testing parts of 0.9861, 2.1501, 1.5650 and 0.9792, 2.8510, 2.1361, respectively. …”
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  2. 402

    PCA-Based Line Detection from Range Data for Mapping and Localization-Aiding of UAVs by Roberto Opromolla, Giancarmine Fasano, Michele Grassi, Al Savvaris, Antonio Moccia

    Published 2017-01-01
    “…This paper lies in the framework of autonomous navigation of unmanned vehicles moving in complex 2D areas, for example, being unexplored, full of obstacles, GPS-challenging, or denied.…”
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    Study on Identification Method for Parameter Uncertainty Model of Aero Engine by Jie Bai, Shuai Liu, Wei Wang

    Published 2019-01-01
    “…The linear model of an aero engine is effective in a small range of the neighborhood of equilibrium points. …”
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    Prediction of Chloride Diffusion in Concrete Structure Using Meshless Methods by Ling Yao, Xiaolu Li, Ling Zhang, Lingling Zhang

    Published 2016-01-01
    “…Degradation of RC structures due to chloride penetration followed by reinforcement corrosion is a serious problem in civil engineering. The numerical simulation methods at present mainly involve finite element methods (FEM), which are based on mesh generation. …”
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  13. 413

    Estimating the Physical Properties of Nanofluids Using a Connectionist Intelligent Model Known as Gaussian Process Regression Approach by Tzu-Chia Chen, Ali Thaeer Hammid, Avzal N. Akbarov, Kaveh Shariati, Mina Dinari, Mohammed Sardar Ali

    Published 2022-01-01
    “…In order to develop a comprehensive artificial intelligence model in this study, sixty-nine data samples were collected. To this end, the Gaussian process regression approach with four basic function kernels (Matern, squared exponential, exponential, and rational quadratic) was exploited. …”
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  14. 414

    Cloud-Based Fault Tolerant Control for a DC Motor System by Xiao He, Yamei Ju, Yang Liu, Bangcheng Zhang

    Published 2017-01-01
    “…Actuator faults are taken into consideration and fault diagnosis and fault tolerant control methods towards actuator faults are proposed to enhance the reliability of the whole cloud-based DC motor system. The fault diagnosis unit is then established with purpose of obtaining fault information. …”
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    Adaptive Contrast Enhancement for Digital Radiographic Images using Image-to-Image Translation by Popp Ann-Kathrin, Schumacher Mona, Himstedt Marian

    Published 2024-09-01
    “…We provide additional information about the examination to the network for a specific contrast adjustment. Compared to the pix2pix network, the ccpix2pix reduces the mean squared error by a factor of six and achieves an improvement of approximately seven percentage points based on the histogram intersection of source and target images.…”
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    Dynamic Crushing Analysis of Hexagonal-Kagome Combined Honeycomb with Negative Poisson’s Ratio by Wei Min Wang, Zhi Liang Yang, Jun Hu

    Published 2022-01-01
    “…The results showed that the HKH exhibited a higher plateau stress than the RHH for any velocity impact, while the negative Poisson’s ratio effect was more significant than that of the KH for low-velocity impacts (the peak Poisson’s ratios of the HKH and KH were −0.312 and −0.286, respectively). …”
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  20. 420