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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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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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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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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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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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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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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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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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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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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Intelligent Feature Selection Ensemble Model for Price Prediction in Real Estate Markets by Daniel Cristóbal Andrade-Girón, William Joel Marin-Rodriguez, Marcelo Gumercindo Zuñiga-Rojas

Subjects: “…ensemble model…”
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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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Editorial: Application of novel technologies for the inactivation and reduction of fungi and mycotoxins by Carlos David Grande-Tovar, Gustavo Adolfo Cordero-Bueso, Clemencia Chaves-López

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Modeling and Discovering Direct Causes for Predictive Models by Yizuo Chen, Amit Bhatia

“… We introduce a causal modeling framework that captures the input-output behavior of predictive models (e.g., machine learning models). …”
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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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Models for predicting juvenile hypertension by Vytautas Janilionis, Edita Janavičiūtė, Jūratė Klumbienė, Giedrė Sakalauskienė

“… Aim of present study was to create some models to predict juvenile hypertension. Data was taken from longitudinal study of Juvenile hypertension in Lithuania. …”
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Machine learning model to predicting synergy of ultrasonication and solvation impacts on crude oil viscosity by Nasir Khan, Mehdi Razavifar, Qazi Adnan Ahmad, Muhammad Siyar, Masoud Riazi, Waqar Khan, Jafar Qajar

“…Considering the significance of features, n-Heptane (0.54) and irradiation time (0.45) were the key predictors, with n-heptane showing slightly greater impact on error reduction. The application of this model to additional datasets from other oil fields shows significant promise for future research and practical implementation.…”
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