Model Reduction and Chattering Mitigation in Multi-Model Predictive Control for Quadrotor UAVs by Ghulam E. Mustafa Abro, Sufyan Ali Memon, Saddaf Rubab, Kaznah Alshammari, Faheem Khan

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Establishing a generalized model for accurate prediction of higher heating values of substances with large ash fractions by Peng Jiang, Lin Li, Han Lin, Tuo Ji, Liwen Mu, Yuanhui Ji, Xiaohua Lu, Jiahua Zhu

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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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Research on digital twin modeling method for combustion process based on model reduction by Yue Zhang, Jiale Li

Subjects: “…Model reduction…”
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Models of Reduction by Otávio Bueno

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Nomogram for spontaneous reduction in pediatric intussusception: a retrospective study by Guangyu Wang, Zhongce Li, Guangqi Duan, Bangzhi Sui, Zhiyuan Jin, Zhenjie Chu, Rui Tang, Xiao Wang, Honglong Ma, Shiqin Qi, Jie Liu

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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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Torque ripple reduction using adaptive gain model predictive control for induction motor drives by Seyed Morteza Banihashemy, Yousef Alinejad Bromi

Subjects: “…model predictive control (MPC)…”
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Enterprise power emission reduction technology based on the LSTM–SVM model by Li Kun, Su Meng, Liu Qiang, Zhang Bin

“…On 220 kV, the testing time was 17.5% faster than the data prediction model and 36.0% faster than the multi-task learning model, and the accuracy was always the best. …”
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Carbon reduction strategies for logistics based on emission prediction under multi-scenarios in coastal developed region by Junyu Chen, Yan Zhu, Shengnan Wu, Chuanming Yang, Huimin Wang

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Development and validation of mass reduction prediction model during torrefaction using biomass chemical composition analysis by Sunyong Park, Kyeong Sik Kang, Kwang Cheol Oh, Seok Jun Kim, Paudel Padam Prasad, Seon Yeop Kim, Ha Eun Kim, Jae Youl Shin, DaeHyun Kim

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A supervised variational autoencoder framework for dimensionality reduction and predictive modeling in high-dimensional socioeconomic data by Pei Xue, Tianshun Li

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Optimized Model Torque Prediction Control Strategy for BLDCM Torque Error and Speed Error Reduction System by Ye Yuan, Cheng Liu, Siyu Chen, Zhenxiong Zhou

“…This paper presents an improved whale optimization algorithm (IWOA) for optimizing the model predictive torque control (MPTC) of brushless DC motor (BLDCM) to further reduce the problems of strong torque pulsation and high ripple caused by the special structure of BLDCM. …”
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Development and validation of mass reduction prediction model during torrefaction using biomass chemical composition analysis. by Sunyong Park, Kyeong Sik Kang, Kwang Cheol Oh, Seok Jun Kim, Paudel Padam Prasad, Seon Yeop Kim, Ha Eun Kim, Jae Youl Shin, DaeHyun Kim

“…Temperature fluctuations were studied using a 1D temperature prediction model and evaluated using kinetic parameters. …”
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Predicting practical reduction potential of electrolyte solvents via computational hydrogen electrode and interpretable machine-learning models by Zonglin Yi, Yi Zhou, Hao Liu, Li Li, Yan Zhao, Jiayuan Li, Yixuan Mao, Fangyuan Su, Cheng-Meng Chen

“…Abstract Accurate prediction of practical reduction electrode potentials (E red) of electrolyte solvents of electrochemical energy storage devices relies on calculating the Gibbs free energy in their reduction reaction. …”
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Machine learning models and dimensionality reduction for improving the Android malware detection by Pablo Morán, Antonio Robles-Gómez, Andres Duque, Llanos Tobarra, Rafael Pastor-Vargas

“…Predictive models based on Random Forest are found to achieve the most promising results. …”
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Composite reductions for Kripke models by Y. A. Belov.

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Research on Electric Vehicle Charging Load Prediction Methods Combining Signal Noise Reduction and Time Series Modeling by Liyun Liu, Xiaomei Xu, Jinsong Zhang, Dong Li

“…Finally, the AM is introduced to prioritize significant components within the load data features, thereby improving the model’s forecasting accuracy. To validate the prediction accuracy of proposed model, a comparative experiment is conducted comparing with five cutting-edge prediction models. …”
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Construction and validation of a predictive model for the serum phosphorus reduction after total parathyroidectomy in patients with secondary hyperparathyroidism by Yingnan Feng, Yingnan Feng, Yinghui Zhou, Xiaodong Feng, Qila Sa, Qila Sa, Ningyuan Zhang, Ningyuan Zhang, Wantao Xie, Wantao Xie, Bailiang Liu, Fengyang Chen, Guangming Cheng, Wei Zhang

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Predicting the reduction in heatstroke and heart disease-related mortality under urban modification scenarios using machine learning by Yukitaka Ohashi, Ko Nakajima, Yuya Takane, Yukihiro Kikegawa, Tomohiko Ihara, Kazutaka Oka

“…After meteorological changes from the control case to four urban modification scenarios were predicted using the WRF–CMBEM, potential reductions in heat-related deaths were estimated using previously successful ML-trained models. …”
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