Predictive turbulence-driven flux model of scrape-off layer widths across confinement regimes in tokamaks by Mathieu Peret, Jerome Guterl, Tess N. Bernard, Federico D. Halpern, Nicolas Fedorczak

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Hybrid-Vector Deadbeat Model Predictive Torque Control for SPMSM With Improved Switching Loss and Synthesis Accuracy by Weiyang Hou, Yiru Miao, Ruizhi He, Wu Liao, Qiwei Xu, Shoudao Huang, Yuxiaoying Tu

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Improved Modulated Model Predictive Control: Reducing Total Harmonic Distortion, Computational Burden, and Parameter Sensitivity by Seyed Rasul Eftekhari, Ali Mosallanejad, Hamidreza Pairo, Jose Rodriguez

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Predictive integrated modelling of the hybrid and baseline scenarios of JT-60SA in view of the second operational phase by S. Gabriellini, V.K. Zotta, L. Garzotti, N. Aiba, J.-F. Artaud, G. Giruzzi, G. Pucella, C. Sozzi, D. Taylor, T. Wakatsuki, L. Burla, C. Leoni, R. Gatto, the JT-60SA integrated project team

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CBFs-Based Model Predictive Control for Obstacle Avoidance With Tilt Angle Limitation for Ball-Balancing Robots by Minh Duc Pham, Duc Cuong Vu, Thi Thuy Hang Nguyen, Thi-van-Anh Nguyen, Minh Nhat Vu, Tung Lam Nguyen

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An Improved Multiobjective Model-Predictive Control Method for Active Neutral-Point-Clamped Five-Level Converter by Qiguang Ren, Chang Liu, Xiangyang Xing, Rui Zhang, Chenghui Zhang

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Enhanced Inverse Model Predictive Control for EV Chargers: Solution for DC–DC Side by Abdullah Berkay Bayindir, Ali Sharida, Sertac Bayhan, Haitham Abu-Rub

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Long-Horizon Direct Model Predictive Control for Medium-Voltage Converters Connected to a Distorted Grid by Andrei Tregubov, Petros Karamanakos, Ludovico Ortombina

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Lane-Keeping Assistance System Based on Model Predictive Control With Smooth Transitions Between Operational Modes by Younsung Hong, Jae-Sung Moon, Yunhyoung Hwang

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Design of a Predictive Controller for the Current Loop of the Tubular Linear Motor Using a Discrete Model by Nguyen Trung Thanh, Nguyen Minh Cuong, Le Thi Thuy Ngan, Duong Quoc Tuan

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Estimation of soil moisture levels at field capacity and wilting point by predictive models on a regional scale by P. Pérez Cutillas, G. González Barberá, Carmelo Conesa García

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Estimation of soil moisture levels at field capacity and wilting point by predictive models on a regional scale by P. Pérez Cutillas, G. González Barberá, Carmelo Conesa García

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Early Detection of Lung Cancer Using Predictive Modeling Incorporating CTGAN Features and Tree-Based Learning by Abdulrahman Alzahrani

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Robust Invariant Set Design for Reliable Stopping in Adaptive Cruise Control via Model Predictive Control by Shila Alizadehghobadi, Reza Ehsani

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Development and validation of a predictive model for critical illness in adult patients requiring hospitalization for COVID-19. by Neha Paranjape, Lauren L Staples, Christina Y Stradwick, Herman Gene Ray, Ian J Saldanha

“…We developed a free, web-based calculator to facilitate use of the prediction model (https://icucovid19.shinyapps.io/ICUCOVID19/).…”
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Development of a predictive model for systemic lupus erythematosus incidence risk based on environmental exposure factors by Qianjin Lu, Ying Zhang, Cheng Zhao, Yu Lei, Hui Jin, Qilin Li

“…Leave-one-out cross-validation confirmed that the ForestMDG model had the best accuracy (0.8338). Finally, we developed a dynamic nomogram for practical use, which is accessible via the following link: https://yingzhang99321.shinyapps.io/dynnomapp/.Conclusion We created a user-friendly dynamic nomogram for predicting the relative risk of SLE onset based on occupational and living environmental exposures.Trial registration number ChiCTR2000038187.…”
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Predictive modelling and ranking: Azadirachta indica compounds through indices and multi-criteria decision-making techniques by D. S. Anuradha, B. Jaganathan

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A spatial predictive model for malaria resurgence in central Greece integrating entomological, environmental and social data. by Panagiotis Pergantas, Andreas Tsatsaris, Chrisovalantis Malesios, Georgia Kriparakou, Nikolaos Demiris, Yiannis Tselentis

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Development of a Predictive Model for Hepatitis B Virus (HBV) Status Using Gender and Serum Biomarkers by Stanley Obinna Ezeadichie, Joy E. Ikekpeazu, Amechi Uchenna Katchy, Mima Wariso, Chioma Cordelia Ugwu, Osah Martins Onwuka

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Clinical characteristics, outcomes, and predictive modeling of patients diagnosed with immune checkpoint inhibitor therapy-related pneumonitis by Antonious Hazim, Irene Riestra Guiance, Jacob Shreve, Gordon Ruan, Damian McGlothlin, Allison LeMahieu, Robert Haemmerle, Keith Mcconn, Richard C. Godby, Lisa Kottschade, Anna Schwecke, Casey Fazer-Posorske, Tobias Peikert, Eric Edell, Konstantinos Leventakos, Ashley Egan

“…The grading of pneumonitis was defined in accordance with ASCO guidelines (Schneider et al. in J Clin Oncol 39(36):4073–4126, 2021. https://doi.org/10.1200/JCO.21.01440 ). Predictive modeling was performed using gradient boosting machine learning technology, XGBoost (Chen in 1(4):1, 2015), to conduct binary classification and model reverse engineering using Shapley statistics (Lundberg and Lee in Adv Neural Inf Process Syst 30, 2017). …”
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