Intraoperative predictive model for the detection of metastasis in non-sentinel axillary lymph nodes by José Antonio García-Mejido, Miguel Sanchez-Sevilla, Rocio García-Jimenez, Ana Fernández-Palacín, José Antonio-Sainz

“…Background: To design a software-applied predictive model relating patients clinical and pathological traits associated with sentinel lymph-node total tumor load to individually establish the need to perform an axillary lymph-node dissection. …”
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Distributed Model Predictive Control Applied to a Four Interconnected Tank Process by Felipe D.J. Sorcia Vázquez, Carlos D. García Beltrán, Guillermo Valencia Palomo, Gerardo Guerrero Ramírez, Manuel Adam Medina, Ricardo Escobar Jiménez

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Disturbance Rejection and Uncertainty Analysis in Wind Turbines Using Model Predictive Control by Alok Kumar, Atul Kelkar

“…In our work, we propose a Model Predictive Control (MPC) framework with quadratic cost functions, incorporating control input and state constraints to mitigate the challenge of disturbance rejection and uncertainty analysis for the wind turbine operation. …”
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Model predictive control for water management and energy security in arid/semiarid regions by D.M. Bajany, L. Zhang, X. Xia

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Neural Network Identification-Based Model Predictive Heading Control for Wave Gliders by Peng Jin, Baolin Zhang, Yun Zhang

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Clinical characteristics, prognosis, and predictive modeling in class IV ± V lupus nephritis by Anjing Wang, Anjing Wang, Yunlong Qin, Yunlong Qin, Yan Xing, Zixian Yu, Liuyifei Huang, Jinguo Yuan, Yueqing Hui, Mei Han, Guoshuang Xu, Jin Zhao, Shiren Sun

“…The RSF model we established for class IV ± V LN patients, incorporating seven risk factors, exhibits superior survival prediction and provides more precise prognostic stratification.…”
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Predictive Analysis of Carbon Emissions in China’s Construction Industry Based on GIOWA Model by Tianyue Hu, Zhiheng Bao, Baiyang Zhang, Xinnan Gao

“…A case study is conducted based on historical data (1997–2021) from the construction industry, and the research findings indicate that: (1) the GIOWA combination forecasting model effectively integrates the algorithmic strengths of SVR and LSTM, achieving an average prediction accuracy of 98.16%, which signifies a remarkable improvement over both individual models; (2) the carbon emissions in China’s construction industry will maintain a downward trend during the period 2022–2030, although the decline rate is expected to decrease gradually; (3) by 2030, a reduction of nearly 35% in carbon emissions is anticipated relative to the historical peak. …”
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Construction and validation of a predictive model for malignant tumors in patients with membranous nephropathy by Yaling Zhai, Shuaigang Sun, Wenhui Zhang, Huijuan Tian, Zhanzheng Zhao

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Predictive Modeling of the Hydrate Formation Temperature in Highly Pressurized Natural Gas Pipelines by Mustafa Karaköse, Özgün Yücel

“…In this study, we aim to develop advanced machine learning regression models for the prediction of hydrate temperature based on the chemical composition of sweet gas mixtures. …”
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Desired Terminal State Concept in Model Predictive Control: A Case Study by František Dušek, Daniel Honc

“…The paper deals with an online optimization control method for dynamical processes called Model Predictive Control (MPC). It is a popular control method in industry and frequently treated in academic areas as well. …”
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Missile IGC Based on Improved Model Predictive Control and Sliding Mode Observer by Li Ma, Jiayuan Shan, Junhui Liu, Yan Ding

“…Considering recurrent optimization process in model predictive control (MPC), the model uncertainties and disturbances terms in the missile’s guidance and control model can degrade recursive feasibility, and there are control mutation problems in common MPC algorithm. …”
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Influential factors related to feeding disorders in preterm infants and the construction of predictive models by Lishan Chen, Lishan Chen, Huichang Zhou, Zhiming Tang, Haiyin Deng, Zhihao Li

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AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

“…This research presents an innovative AI-driven predictive model, designed to accurately forecast vaccine acceptance within immunization programs, while providing high interpretability. …”
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Data-Driven Machine Learning-Informed Framework for Model Predictive Control in Vehicles by Edgar Amalyan, Shahram Latifi

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Model Predictive Control of Piecewise Affine System with Constrained Input and Time Delay by Zhilin Liu, Lutao Liu, Jun Zhang, Xin Yuan

“…A model predictive control (MPC) is proposed for the piecewise affine (PWA) systems with constrained input and time delay. …”
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Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features by Richa Gupta, Mansi Bhandari, Anhad Grover, Taher Al-shehari, Mohammed Kadrie, Taha Alfakih, Hussain Alsalman

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Predictive performance and uncertainty analysis of ensemble models in gully erosion susceptibility assessment by Congtan Liu, Haoming Fan, Yixuan Wang

“…This study aims to identify the optimal feature datasets and to quantify the uncertainty associated with gully erosion prediction models by developing a novel methodological framework based on ensembles of the three machine learning models: Random Forest (RF), Convolutional Neural Network (CNN), and Transformer models. …”
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Improvement and predictive modeling of the mechanical performance of waste fire clay blended concrete by Özkılıç Yasin Onuralp, Zeybek Özer, Karalar Memduh, Çelik Ali İhsan, Althaqafi Essam

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Validation of a Parkinson Disease Predictive Model in a Population-Based Study by Irene M. Faust, Brad A. Racette, Susan Searles Nielsen

“…We previously developed a PD predictive model using demographic and Medicare claims data in a population-based case-control study. …”
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Understanding Occlusion and Temporomandibular Joint Function Using Deep Learning and Predictive Modeling by Taseef Hasan Farook, James Dudley

“…ABSTRACT Objectives Advancements in artificial intelligence (AI)‐driven predictive modeling in dentistry are outpacing the clinical translation of research findings. …”
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