The Active Frequency Control Strategy of the Wind Power Based on Model Predictive Control by Ya-ling Chen, Yin-peng Liu, Xiao-fei Sun

“…According to the prediction information, the output power control signal of the model predictive controller in the wind turbine can be optimized. …”
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Energy Consumption Prediction of Building Heating Systems Based on Model Identification Methods by 曲明璐, 杜尚赫, 张欣林, 于 震, 李 怀

“…Based on historical building data and TRNSYS heating system simulation data, load prediction and equipment energy consumption models were established using the developed model identification method. …”
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Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression by Lindsay L. Benster, Cory R. Weissman, Federico Suprani, Kamryn Toney, Houtan Afshar, Noah Stapper, Vanessa Tello, Louise Stolz, Mohsen Poorganji, Zafiris J. Daskalakis, Lawrence G. Appelbaum, Jordan N. Kohn

“…ML models were internally validated using nested cross-validation and Shapley values were calculated to quantify contributions of each feature to response prediction. …”
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Research on the deformation prediction model of surrounding rock based on SSA-VMD-GRU by Xiao Jiming, Guo Hongyan, Guo Huajun, Hu Juyi, Zhang Zhongzhe

“…The results show that the proposed SSA-VMD-GRU model can accurately predict rock deformation, and the prediction accuracy of each displacement component is high, and the error is small. …”
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Development of a model for mathematical prediction of the course of the disease in patients with nasal furunculosis by D.S. Samusenko, M.M. Popov, O.V. Martynenko

“…Purpose – The aim of the study is to evaluate the factors and develop a linear prediction model for the severity and duration of hospitalization in patients with nasal furunculosis, based on retrospective data analysis. …”
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Predictive models for road traffic sign: Retroreflectivity status, retroreflectivity coefficient, and lifespan by Roxan Saleh, Hasan Fleyeh

“…The results indicate high accuracy in the predictive models, with classification accuracy at 94% and an R2 value of 94% for regression analysis. …”
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ST-GAT Resident OD Prediction Model Based on Mobile Signaling Data by Xianguang Jia, Weijie Fang, Yingying Lyu, Jinke Zhang, Mengyi Guo, Dong Li, Jie Qu, Fengxiang Guo

Subjects: “…OD prediction…”
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PREDICTION MODEL FOR FATIGUE CRACK LENGTH UNDER REAL-TIME MEASURED SPECTRUM by ZHANG Chuan, CHEN YanHui

“…Moreover,this model can be applied to predict crack length in corrosion environment.…”
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Construction and verification of a risk factor prediction model for neonatal severe pneumonia by Weihua Gong, Kaijie Gao, Jiajia Ni, Ying Shi, Zhiming Shan, Hongqi Sun, Shanshan Wang, Jiangtao Xu, Junmei Yang

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A Nonlinear Model for Prediction of Dynamic Coefficients in a Hydrodynamic Journal Bearing by Jerzy T. Sawicki, T. V. V. L. N. Rao

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Predictive Modeling of Yield Sooting Index Using Machine Learning with Uncertainty Estimation by Zied Hosni, Xike Chen, Sofiene Achour, Fatma Saadi

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Development and Validation of a Risk Prediction Model for Foot Ulcers in Diabetic Patients by Jing Lv, Rao Li, Li Yuan, Feng-Mei Huang, Yi Wang, Ting He, Zi-Wei Ye

“…Nomogram and web calculator for the risk prediction model were constructed by R software. Results. …”
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ML-Driven Alzheimer’s disease prediction: A deep ensemble modeling approach by Mustafa Lateef Fadhil Jumaili, Emrullah Sonuç

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Model of Gait Control in Parkinson’s Disease and Prediction of Robotic Assistance by Clemence Vandamme, Virginie Otlet, Renaud Ronsse, Frederic Crevecoeur

“…Furthermore, we used this model to predict the potential benefit of an active orthosis on the gait pattern of patients. …”
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Conditional autoregressive model based on next scale prediction for missing data reconstruction by Shuang Wang, Xiangpeng Wang, Yuhan Yang, Peifan Jiang, Bin Wang, Yuanhao Li

“…To address these limitations, we propose a conditional autoregressive model based on next-scale prediction. Starting from the smallest scale, the model incrementally predicts larger-scale data using information from preceding smaller scales, ultimately achieving robust data reconstruction. …”
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Data Reduction in Proportional Hazards Models Applied to Reliability Prediction of Centrifugal Pumps by Marc Vila Forteza, Diego Galar, Uday Kumar, Kai Goebel

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Advanced predictive machine and deep learning models for round-ended CFST column by Feng Shen, Ishan Jha, Haytham F. Isleem, Walaa J.K. Almoghayer, Mohammad Khishe, Mohamed Kamel Elshaarawy

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Prediction models used in the progression of chronic kidney disease: A scoping review. by David K E Lim, James H Boyd, Elizabeth Thomas, Aron Chakera, Sawitchaya Tippaya, Ashley Irish, Justin Manuel, Kim Betts, Suzanne Robinson

“…<h4>Objective</h4>To provide a review of prediction models that have been used to measure clinical or pathological progression of chronic kidney disease (CKD).…”
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Design and application of multiple model predictive control in stroke control of hydrostatic transmission by Hakan Ülker

“…The author proposes a multiple Model Predictive Controller (MPC) and multiple Model Reference Adaptive Control (MRAC) as a new control strategy for stroke control of HST, and compare their performances. …”
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Development and evaluation of a predictive model of upper gastrointestinal bleeding in liver cirrhosis by Jin Peng, Huiru Jin, Ningxin Zhang, Shiqiu Zheng, Chengxiao Yu, Jianzhong Yu, Longfeng Jiang

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