Simulation and prediction of rural population changes using agent-based modeling by Shanshan Huang, Yao Huang, Shitai Bao, Jianfang Wang, Siying Chen

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An Hourly Prediction Model of Relativistic Electrons Based on Empirical Mode Decomposition by Yedong Qian, Jianwei Yang, Hua Zhang, Chao Shen, Yewen Wu

“…After a long period, such an electron flux effect could cause satellites to be unable to function properly or to fail completely. Unlike previous prediction models of relativistic electrons focusing mainly on forecasting the daily value, we have developed an hourly prediction model to learn more detailed changes. …”
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Regarding predictive model of immunological parameters for unexplained recurrent pregnancy loss by Qingzheng Hu, Xiaofang Xuan

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Prediction of ship maneuvering motion in regular wave with gray-box modelling by Yang HAN, Lizhu HAO, Chao SHI, Ziying PAN, Jiang LU, Min GU

“…ObjectivesAiming at the requirements of the real-time and accurate prediction of ship maneuvering motion, this paper investigates the prediction of ship maneuvering motion in regular waves using gray-box modelling to improve the accuracy. …”
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An explainable artificial intelligence model for predictive maintenance and spare parts optimization by Ufuk Dereci, Gülfem Tuzkaya

“…This study demonstrates that utilizing machine learning models in predictive maintenance is highly beneficial; however, the binary outcomes of these models can be misunderstood by decision-makers. …”
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Machine Learning-Based Mortality Risk Prediction Model in Patients with Sepsis by Zhang Y, Li C, Ji Y, Wei B, Guo S, Mei X, Wang J

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An Integrated Cellular Automata Model Improves the Accuracy of Secondary Fragmentation Prediction by René Gómez, Camila San Martin, Raúl Castro

“…This work describes the application of a new model to improve the accuracy of the prediction of fine material in block caving mining by coupling a stress model and a fragmentation model, integrating the shear strain effect. …”
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Prediction of Continuous Rain Disaster in Henan Province Based on Markov Model by Xiaoxiao Zhu, Shuhua Zhang, Bingjun Li

“…Taking the maize in Henan Province as an example, the Markov model is used to predict the occurrence of continuous rain in the middle growth and late growth stages (flowering and filling stages) of 13 cities in Henan Province. …”
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Grain Yield Prediction Based on the Improved Unbiased Grey Markov Model by Wu Yuan, Zhou Rui, Yu Bao, Huang Xiang, Li Bo

“…In order to improve the accuracy of grain yield prediction, this paper proposes a grain yield prediction method with improved unbiased grey Markov model. …”
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RUL prediction method based on cross-view hybrid network model by Ai Yandi, Fang Dong, Tian Zhiping, Yan Kaiyang

“…To this end, this paper designs a RUL prediction framework based on a cross-view hybrid network model (CVHNet). …”
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Enhanced Modulated Model Predictive Control for Matrix Converters in Overmodulation Zones by Ali Sarajian, Quanxue Guan, Ibrahim Harbi, Davood Arab Khaburi, Ralph Kennel, Cristian Garcia, Patrick Wheeler, Jose Rodriguez

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Evolutionary polynomial modeling for interpretable drought prediction and resilient resource management by Tulio J. Francisco, Bruno da Silva Macêdo, Zaher Mundher Yaseen, Nikolay O. Nikitin, Matteo Bodini, Angela Gorgoglione, Camila M. Saporetti, L. Goliatt

“…This study proposes an innovative approach to predicting drought use, the Evolutionary Polynomial Expansion with Feature Selection (EPEFS) model, a hybrid method that integrates polynomial regression with feature selection to increase accuracy and interpretability. …”
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External Validation of the International Prognosis Prediction Model of IgA Nephropathy by Lichao Hu, Yi Fang, Jiaxin Huang, Jin Liu, Lingling Xu, Weichun He

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Model Predictive Control for Charging Management Considering Mobile Charging Robots by Max Faßbender, Nicolas Rößler, Christoph Wellmann, Markus Eisenbarth, Jakob Andert

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Construction of an immune prediction model for osteosarcoma based on coagulation-related genes by Ye Jiang, Huiqi Yuan, Yongping Cao

“…Furthermore, a prognostic risk model constructed using coagulation system-related genes (CRGs) demonstrated solid predictive ability for patient survival. …”
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Revolutionizing heart attack prognosis: Introducing an innovative regression model for prediction by Hanaa Albanna, Madhav Raj Theeng Tamang, Chandan Patel, Mhd Saeed Sharif

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A multivariate time series prediction model based on the KAN network by Yunji Long, Xue Qin

“…Abstract Time series forecasting is crucial in various fields such as financial markets and weather prediction. Although mainstream deep learning models like RNNs and CNNs have made some progress in capturing short-term patterns, they still fall short in handling long-range dependencies and complex interactions. …”
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Reinforcement learning-based model predictive control for greenhouse climate control by Samuel Mallick, Filippo Airaldi, Azita Dabiri, Congcong Sun, Bart De Schutter

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New Perturbation Model for Prediction of Amino Acid and Peptide Activity Coefficients

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Simulation and prediction of rural population changes using agent-based modeling. by Shanshan Huang, Yao Huang, Shitai Bao, Jianfang Wang, Siying Chen

“…Using two representative villages as study areas, the results were validated by comparing them with actual population data and predictions made by the Leslie model. The findings demonstrate the following: 1) the agent-based modeling effectively captures the dynamics of births, deaths, and migrations at the micro level, elucidating the underlying determinants of rural population retention. 2) In economically disadvantaged villages, the total population, labor force, and proportion of adolescents have significantly declined. …”
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