Category: Engineering

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  • Sensitivity analysis of VG model parameters for infiltration in undisturbed loess under ponding conditions using the HYDRUS-1D model

    Sensitivity analysis of VG model parameters for infiltration in undisturbed loess under ponding conditions using the HYDRUS-1D model

    Materials

    The study area is located on the south bank of Jinghe River in Shaanxi Province of China, which belongs to the south of Loess Plain in China, and the middle and lower reaches of the Yellow River Basin (Fig. 1a). This area is also called…

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  • Improving microvascular brain analysis with adversarial learning for OCT–TPM vascular domain translation

    Improving microvascular brain analysis with adversarial learning for OCT–TPM vascular domain translation

    This section details the methodology employed in our work, beginning with the initial stages of data collection and preparation, the techniques used for image generation and analysis, and the procedures we followed for methodology validation.

    Data…

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  • The effects of warning design features on risk perception and performance in remote emergency response

    The effects of warning design features on risk perception and performance in remote emergency response

  • IPCC. Climate Change 2022: Mitigation of Climate Change. (The Intergovernmental Panel on Climate Change, 2022).

  • Wang, J. et al. The effect of signal icon and persuasion strategy on warning design in online fraud. Comput. Secur.

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  • 3D printing of a low-cost videolaryngoscope for tracheal intubation

    3D printing of a low-cost videolaryngoscope for tracheal intubation

    This study describes the three development stages of a videolaryngoscope using 3D printing technology: prospecting, modeling and prototyping, and realistic simulation on airway mannequins. The modeling, prototyping, and simulation phases were…

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  • Advanced hybrid computational analysis of febuxostat solubility using machine learning in supercritical processing method

    Advanced hybrid computational analysis of febuxostat solubility using machine learning in supercritical processing method

    Data set

    In this study, we modelled a data set consisting of 24 rows of information about the solubility of FBX (febuxostat) drug at different temperatures and pressures. Table 1 displays all of this information in its entirety with the values of…

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  • Study of linear and nonlinear isotherm and kinetic parameters of hexavalent chromium adsorption onto reduced graphene oxide coated iron oxide

    Study of linear and nonlinear isotherm and kinetic parameters of hexavalent chromium adsorption onto reduced graphene oxide coated iron oxide

    rGO@Fe3O4 characterization

    FTIR method was employed to confirm the synthesis of GO and rGO@Fe3O4, as well as to identify functional groups and metal oxide bonds. As shown in Fig. 1a, a prominent C–O band at 1039 cm−1 and C = O interactions…

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  • A scalable reinforcement learning framework inspired by hippocampal memory mechanisms for efficient contextual and sequential decision making

    A scalable reinforcement learning framework inspired by hippocampal memory mechanisms for efficient contextual and sequential decision making

  • Levine, S., Finn, C., Darrell, T. & Abbeel, P. End-to-end training of deep visuomotor policies. J. Mach. Learn. Res.17, 1–40 (2016).

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  • Kalashnikov, D. et al. Scalable deep…

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  • FCN attention enhancing asphalt pavement crack detection through attention mechanisms and fully convolutional networks

    FCN attention enhancing asphalt pavement crack detection through attention mechanisms and fully convolutional networks

    Result evaluation indicators

    On the test data set, select the pixel accuracy Acc (Pixel Accuracy) and the average intersection-over-union ratio (mIoU) as the performance indicators of the model32,33. The pixel accuracy Acc formula is shown in…

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  • Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture

    Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture

    The proposed methodology highlights a new optimizer called NRMSProp, derived from RMSProp, to enhance the CNN performance for tumour classification from medical images. Through the integration of Nesterov momentum with RMSProp, NRMSProp improves…

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