Computationally Efficient and Loss-Minimizing Model Predictive Control for Induction Motors in Electric Vehicle Applications by Carolina Nicolás-Martín, Miguel E. Montilla-DJesus, David Santos-Martín, Jorge Martínez-Crespo

Subjects: “…model predictive control…”
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Speed sensorless sliding mode control of wave power generation based on model predictive strategy by LIANG Haohui, YANG Junhua, YANG Mengli, WANG Chaofan, HUANG Yi, LUO Qi

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Predictive ANN Modeling and Optimization of Injection Molding Parameters to Minimize Warpage in Polypropylene Rectangular Parts by Juan Luis Gámez, Amparo Jordá-Vilaplana, Miguel Angel Peydro, Miguel Angel Selles, Samuel Sanchez-Caballero

“…Based on the Backpropagation Neural Network algorithm, the optimized ANN model accurately predicts warpage by considering factors such as part thickness, flow path distance, and flow path tangent. …”
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Predictive model for sarcopenia in patients with non-small cell lung cancer and malignant pleural effusion by Hengxing Gao, Xuexue Zou, Meng Fan, Mingwei Chen

“…A nomogram was developed to facilitate personalized prediction of sarcopenia for individual patient. The ROC curve demonstrated that the nomogram model incorporating these predictive factors achieved an area under the curve (AUC) of 0.889, indicating its discriminatory power in predicting sarcopenia. …”
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Model Predictive Control for Autonomous Ship Navigation with COLREG Compliance and Chart-Based Path Planning by Primož Potočnik

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Predictive model for coronavirus disease 2019 severity based on blood biomarkers: a retrospective study by Liu Xiaoyan, Bao Zhongying, Duan Shuhong, Sun Jing, Zhang Yijie, Zhang Jie, Liu Jingxin

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Optimized Model Predictive Control for improving dynamic stability and steering accuracy in multi-axle cranes. by Abdulhakeem Muhammed Ali, Yusuf Abubakar Sha'aban, Ahmed Tijani Salawudeen, Zaharuddeen Haruna, Bilyamin Muhammad, Muhammed Bashir Mu'azu, Abdullah Alharthi

“…Various control strategies, including Proportional-Integral-Derivative (PID), Linear Quadratic Regulator (LQR), and Model Predictive Control (MPC), have been employed to address these challenges. …”
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Predictive Modeling of Energy Consumption for Cooling Ventilation in Livestock Buildings: A Machine Learning Approach by Carlos Alejandro Perez Garcia, Patrizia Tassinari, Daniele Torreggiani, Marco Bovo

“…This research developed a predictive model using NeuralProphet to estimate energy consumption in the ventilation system of a dairy cattle farm. …”
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Predictive value of an early comprehensive assessment model for refractory mycoplasma pneumoniae pneumonia and internal validation by Xiangtao Wu, Weihong Lu, Weiqing Liu, Yishuai Ren, Shuangshuang Fan, Yali Xu, Ruigui Zhang, Xue Liu, Mengzhu Wang, Tuanjie Wang, Xingliang Zhang, Shaoru He, Shujun Li

“…The DCA of the development and validation cohorts showed clear net benefits using the nomogram to predict RMPP. Conclusion We developed a nomogram model that integrates clinical, imaging, and bronchoscopic features to enable early and accurate prediction of the risk of RMPP in children. …”
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Assessing Smoking Determinants in Students: A Predictive Model Based on Anxiety, Distress, and Sleep Patterns by Chaudhuri Tinni, Ghosh Joyeta, Chakraborty Soma, Kumar Pankaj, Guha Banhi

“…The study also explores the effectiveness of predictive modeling using statistical techniques. Primary data was collected from 203 students enrolled in different courses through a structured questionnaire with uniform scoring criteria. …”
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Predictive Modeling of River Water Temperatures in Catu River: A Neural Network-Based Approach by Carmen Goncalves de Macedo e Silva, José Roberto de Araújo Fontoura, Alarcon Matos de Oliveira, Thais de Souza Neri, Roberto Luiz Souza Monteiro, Thiago Barros Murari, Alexandre do Nascimento Silva, Leandro Brito Santos, Marcos Batista Figueredo

“…This study evaluates the performance of machine learning-based predictive models in forecasting Tw in the Catu River. …”
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Experimental investigation and predictive modelling of CO2 laser processing of wood-plastic composites (WPCs) by Sharizal Ahmad Sobri, Teoh Ping Chow, Tan Koon Tatt, Mohd Hisham Nordin, Andi Hermawan, Mohd Natashah Norizan

“…Increasing gas pressure significantly narrowed HAZ and enhanced cut cleanliness by effectively cooling and expelling debris. Regression models demonstrated high predictive accuracy (R² ≥ 0.96), confirming strong linear relationships between parameters and outcomes. …”
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Generalized Predictive Control with Added Zeros and Poles in Its Augmented Model for Power Electronics Applications by Raymundo Cordero, Matheus Caramalac, Wisam Ali

Subjects: “…augmented model…”
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Predictive model of school dropout in higher education through Learning Analytics with Neutrosophic Plithogenic Hypotheses by David Núñez, Purificación Galindo-Villardón

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Predictive Model for Early Neurological Deterioration in Acute Ischemic Stroke Utilizing Novel Thrombotic Biomarkers by Yifei Zhao, Hao Zhu, Changfei Dai, Wen Liu, Wenjin Yu, Bin Yan, Xiyang Ji, Lin Li, Dong Wei, Zhaopan Li, Ping Chen

“…Therefore, we developed a prediction model for END based on these markers and evaluated its accuracy and clinical utility. …”
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Predictive model for initial response to first-line treatment in children with infantile epileptic spasms syndrome by Wenrong Ge, Lin Wan, Zong Wang, Lijun Fu, Guang Yang

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Predictive Modeling for Fetal Health: A Comparative Study of PCA, LDA, and KPCA for Dimensionality Reduction by Ariana Deyaneira Jimenez-Narvaez, Victor David Casa Vaca, Jonathan Javier Loor-Duque, Isidro Rafael Amaro Martin, Ivan Galo Reyes-Chacon, Paulina Vizcaino, Manuel Eugenio Morocho-Cayamcela

“…This study addresses this issue by applying dimensionality reduction techniques—Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Kernel Principal Component Analysis (KPCA)—to improve the performance of machine learning (ML) models in predicting fetal health using CTG data. …”
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Koopman-Based Model Predictive Control of Functional Electrical Stimulation for Ankle Dorsiflexion and Plantarflexion Assistance by Mayank Singh, Noor Hakam, Trisha M. Kesar, Nitin Sharma

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An Ensemble Patient Graph Framework for Predictive Modelling from Electronic Health Records and Medical Notes by S. Daphne, V. Mary Anita Rajam, P. Hemanth, Sundarrajan Dinesh

“…A thorough framework analysis reveals that incorporating patient graph structures improves prediction accuracy. Furthermore, an ensemble model enhances risk prediction performance and identifies crucial clinical indicators. …”
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Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling by Kaida Cai, Xiaofang Yang, Zhengyan Wang, Wenzhi Fu, Hanwen Liu, Fatemeh Mahmoudi

“…The integration of feature selection further enhanced the machine learning models’ predictive capabilities. These findings emphasize the potential of machine learning techniques to improve outcome prediction and guide personalized treatment strategies, offering valuable tools for critical care settings.…”
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