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    Long-Term Retrospective Predicted Concentration of PM<sub>2.5</sub> in Upper Northern Thailand Using Machine Learning Models by Sawaeng Kawichai, Patumrat Sripan, Amaraporn Rerkasem, Kittipan Rerkasem, Worawut Srisukkham

    Published 2025-02-01
    “…ML techniques, namely multi-layer perceptron neural network (MLP), support vector machine (SVM), multiple linear regression (MLR), decision tree (DT), and random forests (RF), were used to construct the prediction models. The best ML prediction model was selected considering root mean square error (RMSE), mean prediction error (MPE), relative prediction error (RPE) (the lower, the better), and coefficient of determination (R<sup>2</sup>) (the bigger, the better). …”
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  7. 2667

    Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting by Yanhong Li, David C. Anastasiu

    Published 2024-01-01
    “…Additionally, MSEED incorporates a simple vanilla encoder-decoder model for strengthening rolling predictions. The framework has been tested on four challenging real-world datasets, focusing on two critical forecasting scenarios: long-term predictions (three days ahead) and rolling predictions (every four hours) to simulate real-time decision-making in water resource management. …”
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    Bayesian Architecture for Predictive Monitoring of Unbalance Faults in a Turbine Rotor–Bearing System by Banalata Bera, Shyh-Chin Huang, Po Ting Lin, Yu-Jen Chiu, Jin-Wei Liang

    Published 2024-12-01
    “…Therefore, monitoring unbalance faults is essential for predictive maintenance. While conventional time-invariant mathematical models can assess the impact of these faults, they often rely on proper assumptions of system factors like bearing stiffness and damping characteristics. …”
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    Balance Technologies for Calculating and Predictive Estimation of Labor Resources for Regional Socio-Economic Systems by V. A. Kurzenev, V. T. Perekrest, I. V. Perekrest

    Published 2022-06-01
    “…Petersburg EMI RAS (until 2018) in the framework of the direction “Economic and mathematical methods for state regulation of socially oriented economies at the regional level within the framework of innovative development models” is presented.…”
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    Evaluation Model Based on the SGCNiFormer for the Influence of Different Storage Environments on Wheat Quality by Qingchuan Zhang, Zexi Song, Mingwen Bi

    Published 2025-05-01
    “…To address these challenges, this paper proposes a dual model system of “prediction-evaluation”, which integrates a dynamic quality prediction model based on SGCNiFormer with an evaluation framework based on K-Smeans clustering to establish a closed-loop mechanism from quality prediction to storage effect evaluation. …”
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    Prediction of chicken gender before putting eggs in incubator using logistic regression model by Abbas Parchami, Ramin Aghaei Afshar, Erfan Fadaie, Hasan Ghaemi, Ehsanollah Sakhaee

    Published 2024-08-01
    “…This paper propose several regression models to predict the probability of hatch a cockerel from egg before it is even putted in an incubator. …”
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    Automatic prediction for IP backbone network traffic by Xuan WEI, Ke RUAN, Xiaoying HUANG, Xun CHEN, Cancan HUANG

    Published 2020-08-01
    Subjects: “…time series;traffic forecast;prediction model…”
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