Enhancing predictive modeling across industries with automated machine learning: applications in insurance and agriculture by K. P. Swain, S. K. Mohapatra, Santosh Kumar Sahoo

“…Abstract This study explores the efficacy of Automated Machine Learning (AutoML) tools in enhancing linear regression models across industries, focusing on insurance and agriculture. …”
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Assessment of tuberculosis drug efficacy using preclinical animal models and in vitro predictive techniques by Hazem F. M. Abdelaal, Bryan J. Berube, Brendan K. Podell, Matthew H. Harband, Hadley E. Gary, Martin Perez-Jaimes, David F. Ackart, Valerie A. Reese, Sasha E. Larsen, Tiffany Pecor, David Z. Wilkins, Tanya Parish, Sara E. Maloney-Norcross, Jeffrey B. Mecham, Anthony J. Hickey, Susan L. Baldwin, Rhea N. Coler

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Development and validation of a LASSO-based predictive model for inadvertent hypothermia in ICU patients by Xueting Wang, Xueting Wang, Yuxuan Chen, Lan Hua, Lan Hua, Dongmei Wang, Xia Zhang, Xia Zhang, Lianhong Wang, Lianhong Wang

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Predictive modeling of MB adsorption on activated olive stone through artificial neural networks by Özgül Çimen Mesutoğlu

“…Abstract The primary objective of this study was to evaluate the potential of activated olive stone (AOS), an organic waste material, for adsorbing Methylene Blue (MB) dye from aqueous solutions and to develop a predictive model using Artificial Neural Networks (ANNs). …”
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A model predictive control method for directional borehole trajectories in underground coal mines by Hao LI, Ningping YAO, Chengda LU, Jinbao ZHANG, Hongchao WEI, Jiajun WU, Jinyu LI

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Risk factors and predictive model for mild cognitive impairment in elderly patients with rheumatoid arthritis by Jun Yan, Hua Guo, Lin-Xin Zhang, Pei Chen, Yong-Ku Du, Juan Li, Ya-Ya Gao, Nan Ye

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Nonlinear Model Predictive Control for Trajectory Tracking of Omnidirectional Robot Using Resilient Propagation by Mahmoud El-Sayyah, Mohamad R. Saad, Maarouf Saad

Subjects: “…Nonlinear model predictive control (NMPC)…”
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Machine learning based risk analysis and predictive modeling of structure fire related casualties by Andres Schmidt, Eric Gemmil, Russ Hoskins

“…The network model achieves a prediction accuracy of 92.5 % for the classification of structural fire-related casualty severities. …”
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Neural ODE-Based Dynamic Modeling and Predictive Control for Power Regulation in Distribution Networks by Libin Wen, Jinji Xi, Hong Hu, Li Xiong, Guangling Lu, Tannan Xiao

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Predictive model for feeding intolerance in neonates with hypoxic ischemic encephalopathy during therapeutic hypothermia by Zhongping Shui, Ying Liu, Haimei Duan, Qiuyi Sun, Huan He, Huayun He, Jianhui Wang, Huaying Yin

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New Results on Robust Model Predictive Control for Time-Delay Systems with Input Constraints by Qing Lu, Yiyong Sun, Qi Zhou, Zhiguang Feng

“…This paper investigates the problem of model predictive control for a class of nonlinear systems subject to state delays and input constraints. …”
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Assessing the multi-scale predictive ability of ecosystem functional attributes for species distribution modelling. by Salvador Arenas-Castro, João Gonçalves, Paulo Alves, Domingo Alcaraz-Segura, João P Honrado

“…Here we describe a modelling framework to assess the predictive ability of EFAs as Essential Biodiversity Variables (EBVs) against traditional datasets (climate, land-cover) at several scales. …”
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Construction and Validation of Predictive Model to Identify Critical Genes Associated with Advanced Kidney Disease by Guangda Xin, Guangyu Zhou, Wenlong Zhang, Xiaofei Zhang

“…The study is aimed at identifying crucial genes related to CKD progressive and constructing a disease prediction model to investigate risk factors. Methods. …”
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On Feasibility and Asymptotically Stability of Switched Systems Using Adaptive Multi-Model Predictive Control by Mohammad Fathi, Hossein Bolandi, Bahman Ghobrani Vaghei, Saeed Ebadollahi

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Predictive Modeling of Textile Heat Sinks for Enhanced Thermal Management in Space and Military Applications by Michal Frydrysiak, Piotr Kosobudzki

“…The aim of this research is to create a numerical model of a THS that not only simulates the thermal behavior of knitted fabrics, which are used to construct a THS, but also serves as a predictive tool for the heat flow coming from different devices, thus increasing thermal management safety. …”
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Machine Learning in Schizophrenia: A Systematic Review and Meta-Analysis of Diagnostic and Predictive Models by Oluwatobi Idowu, Nicholas Aderinto, Gbolahan Olatunji, Emmanuel Kokori

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Country-level indices in predictive models of helminth infections: Perspectives from Southeast Asia. by Nathkapach Kaewpitoon Rattanapitoon, Chutharat Thanchonnang, Schawanya Kaewpitoon Rattanapitoon

“…Predictive models integrating country-level indices with individual variables offer valuable insights into soil-transmitted helminth (STH) infection risk among migrant populations. …”
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A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning by Madina Suleimenova, Kuat Abzaliyev, Madina Mansurova, Symbat Abzaliyeva, Almagul Kurmanova, Guzel Tokhtakulinova, Akbota Bugibayeva, Diana Sundetova, Merei Abdykassymova, Ulzhas Sagalbayeva, Raushan Bitemirova, Zhadyra Yerkin

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Predictive Model for the Type of Active Retinopathy of Prematurity Based on Data from Angiological Studies by I. G. Trifanenkova, A. V. Tereshchenko

Subjects: “…predictive model…”
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Analysis of Risk Factors and the Establishment of a Predictive Model for Thrombosis in Patients with Immune Thrombocytopenia by Hui Liang MD, Lingxue Duan BSc, Manyu Long BSc, Songyuan Tie BSc, Changyan Sun BSc, Sha Ma PhD, Jing Wang PhD, Shuya Wang BSc

“…Objectives To explore the risk factors for thrombi occurring in patients with immune thrombocytopenia (ITP) and establish a risk prediction model to better predict the risk of thrombosis in patients with ITP. …”
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