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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Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis by Jinxi Yang, Siyao Zeng, Shanpeng Cui, Junbo Zheng, Hongliang Wang

“…While machine learning (ML) models are increasingly being used for ARDS prediction, there is a lack of consensus on the most effective model or methodology. …”
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Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks by Jonathan Schmitt, Abbas Razvi, Christoph Grapentin

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Class Balancing for Soil Data: Predictive Modeling Approach for Crop Recommendation Using Machine Learning Algorithms by Sapkal Kranti G., Kadam Avinash B.

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The InterModel Vigorish (IMV) as a flexible and portable approach for quantifying predictive accuracy with binary outcomes. by Benjamin W Domingue, Charles Rahal, Jessica Faul, Jeremy Freese, Klint Kanopka, Alexandros Rigos, Ben Stenhaug, Ajay Shanker Tripathi

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Energy Management Strategy for Hybrid Electric Vehicles Based on Adaptive Equivalent Ratio-Model Predictive Control by Farah Mahdi Ali, Nizar Hadi Abbas

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Research on model predictive control strategy of three-level dual-active bridge DC-DC converter by Junrui Wang, Lu Tan, Jin Li, Changjiang Ji

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Energy optimization induces predictive-coding properties in a multi-compartment spiking neural network model. by Mingfang Zhang, Raluca Chitic, Sander M Bohté

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A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid by Errakkas Khalid, Kissaoui Mohammed, Lajouad Rachid, El Magri Abdelmounime, Atifi Youness, Khayat Ahmed

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Predictive modeling of PMMA-based polymer composites reinforced with hydroxyapatite: a machine learning and FEM approach by Rohit Kumar Singh, Khyati Verma, G. C. Mohan Kumar

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