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    Identification and modelling of applicable wear conditions for stir cast Al-composite by Santanu Sardar, Santanu Kumar Karmakar, Debdulal Das

    Published 2019-10-01
    “…Abstract A comprehensive study of the tribological performance of the Al-Zn-Mg-Cu/Al2O3 composite and its matrix alloy is presented in this paper, with a specific emphasis to identify and model the applicable wear conditions where the composite provides a minimum of 50% reduction in wear rate and 25% lowering of the friction coefficient. …”
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    Optimizing Management of Alfalfa (<i>Medicago sativa</i> L.) Nitrogen Fertilizer Based on Critical Nitrogen Concentration Dilution Curve Model by Yaya Duan, Yi Ling, Haiyan Li, Wenjing Chang, Jiandong Lu, Minhua Yin, Yanxia Kang, Yanlin Ma, Yayu Wang, Guangping Qi, Guoyun Shen

    Published 2025-06-01
    “…The normalized root mean square error (n-RMSE) of the models ranged from 3.1% to 13%, indicating high model reliability. …”
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    Exploring the Use of Mobile Health Applications in Palestinian Community Pharmacy Practice by Ahmed Nouri, PharmD, MSc

    Published 2025-01-01
    “…A strong positive correlation (P < 0.001) was observed between community pharmacists’ support for mobile health applications and their perception of the applications’ reliability. …”
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  10. 750

    Data-Driven Computational Methods in Fuel Combustion: A Review of Applications by Jacek Lukasz Wilk-Jakubowski, Lukasz Pawlik, Damian Frej, Grzegorz Wilk-Jakubowski

    Published 2025-06-01
    “…This review article provides a comprehensive analysis of the recent advancements in combustion science and engineering, focusing on the application of machine learning and genetic algorithms from 2015 to 2024. …”
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  11. 751

    About the trustworthiness of physics-based machine learning – considerations for geomechanical applications by D. Degen, D. Degen, D. Degen, M. Ziegler, M. Ziegler, O. Heidbach, O. Heidbach, A. Henk, K. Reiter, F. Wellmann, F. Wellmann

    Published 2025-06-01
    “…The latter aspect is critical for applications such as nuclear waste disposal, where it is essential to provide trustworthy predictions. …”
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    Research on the Performance of Vehicle Lateral Control Algorithm Based on Vehicle Speed Variation by Weihai Zhang, Jinbo Wang, Tongjia Pang

    Published 2025-05-01
    “…Analyzing the performance characteristics and applicable environments of intelligent vehicle lateral control algorithms, this paper establishes the Model Predictive Control (MPC), Pure Pursuit (PP), and Linear Quadratic Regulator (LQR) algorithms and uses 2022b MATLAB software to simulate the lateral error, heading error, and algorithm execution time at speeds of 3 m/s, 7 m/s, and 10 m/s. …”
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  14. 754

    A Centralized Approach to the Logging Mechanisms of Distributed Complex ERP Applications by Cosmin Strilețchi, Petre G. Pop, Christian Gavrilă

    Published 2025-03-01
    “…The applications can be monitored by letting them produce descriptive messages, the corresponding data being logged and usually marked according to their meaning or severity (info, debug, warning, error and fatal). …”
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  15. 755

    Random Forest–Based Coal Mine Roof Displacement Prediction and Application by Hongxia Li, Rong Wu, Jianan Gao

    Published 2025-01-01
    “…When RF model is applied to coal mine roadway, the average R2 is 0.92, and the relative error of prediction is 1.76%–9.11%, which indicates that RF model has greater accuracy and applicability in advance prediction of coal roadway roof displacement. …”
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    Applicability Evaluation of Provincial Precipitation Real-time Analysis Product in Beijing by Zhao Wenfang, Wang Huiying, Meng Huifang, Miao Yupeng, Huang Mingming, Fan Min, Tang Wei

    Published 2024-05-01
    “…The consistency and accuracy of the provincial precipitation analysis products in Beijing from September 2022 to August 2023 are evaluated by automatic weather station observations, error analysis, effective precipitation time proportion, and other methods. "23·7" extreme precipitation event is also analyzed in terms of cumulative precipitation, precipitation intensity, and hourly precipitation error. …”
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