JESO: Reducing Data Center Energy Consumption Based on Model Predictive Control by Xun Chen, Guizhao Xu, Xiaolei Chang, Zhenzhou Wu, Zhengjian Chen, Chenxi Li

“…Therefore, we proposed JESO (Joint Energy Saving Optimization), a MPC (Model Predictive Control)-based method, to realize the joint energy-saving optimization of IT equipment and the HVAC system. …”
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Developing a reliable predictive model for the biodegradability index in industrial complex effluent by Sadegh Partani, Amin Arzhangi, Hamidreza Azari, Hamidreza Moheghi

“…The extracted model applied on some of the mentioned countries’ records and the results of BOD prediction was matched by observations in 95% of reliability domain. …”
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Predictive modelling of creep age forming parameters using artificial neural networks by Yo-Lun Yang, Cheng-Ling Tai, Wan-Ling Chen, Sundarakannan Rajendran, Vigneshwaran Shanmugam

“…The ANN model was trained using experimental data from 80 samples, incorporating stress (75–175 MPa), ageing time (0–8 h), and creep strain as input parameters to predict precipitate radius and yield strength. …”
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Patient perspective on predictive models in healthcare: translation into practice, ethical implications and limitations? by Sarah Markham

“…In this perspective article, we consider the use of predictive models in healthcare and associated challenges. …”
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Analysis of the factors that influence the quality of rapeseed and sunflower seeds and development of predictive models☆ by El Msayryb Abdellatif, Champolivier Luc, Debaeke Philippe, Flénet Francis

“…The model achieved good predictive accuracy, with over 84% of well-predicted values falling within acceptable ranges for rapeseed seed quality (oil and protein concentrations), and the same for sunflower protein concentration. …”
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Evaluating the impact of demolished concrete aggregates on workability, density, and strength with predictive modeling by Hyginus Obinna Ozioko, Emmanuel Ebube Eze

“…Three machine learning models: linear regression, polynomial regression, and artificial neural networks, were developed to predict compressive strength. …”
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Construction and verification of a predictive model for depression risk of patients with somatization symptoms by Liming Tang, Jinrong Zhong, Mei’e Zeng, Weiwei Deng, Chunmei Huang, Shuifen Ye, Fengjin Li, Dongqin Lai, Wanling Huang, Bin Chen, Xiaoyuan Deng, Xiaoying Lai, Lirong Wu, Bilan Zou, Hanzhong Qiu, Ying Liao

Subjects: “…predictive model…”
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Predictive Modeling of Covid-19 Data in the US: Adaptive Phase-Space Approach by Vasilis Z. Marmarelis

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Research on Trajectory Tracking Algorithm of Agricultural Machinery Based on Model Predictive Control by LIU Lin, ZHANG Huaqiang, QIN Changli, CHEN Yu, SU Qinghua

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Development and validation of a predictive model for suicidal thoughts and behaviors among freshmen by Yan Qin, Sifang Niu, Xingmeng Niu, Yangziye Guo, Yu Sun, Shuzhang Hu, Fuqin Mu, Ying Zhang, Min Liu, Jianli Wang, Yan Liu

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Predictive Modeling for Diabetes Subtype Classification in India: A Machine Learning Approach by Ulagamadesan Venkatesan, Anandakumar Amutha, Ranjit Mohan Anjana, Ranjit Unnikrishnan, Bagavandas Mappillairaju, Viswanathan Mohan

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Predictive nomogram integrating radiomics and multi‐omics for improved prognosis‐model in cholangiocarcinoma by Yunlu Jia, Mingyu Wan, Yifei Shen, Junli Wang, Xiao Luo, Mengye He, Ruiliang Bai, Wenbo Xiao, Xiaochen Zhang, Jian Ruan

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Evaluating the Performance and Potential Bias of Predictive Models for Detection of Transthyretin Cardiac Amyloidosis by Jonathan Hourmozdi, MD, MSAI, MA, Nicholas Easton, MSAI, Simon Benigeri, MSAI, James D. Thomas, MD, Akhil Narang, MD, David Ouyang, MD, Grant Duffy, BS, Ross Upton, PhD, Will Hawkes, PhD, Ashley Akerman, PhD, Ike Okwuosa, MD, Adrienne Kline, MD, PhD, Abel N. Kho, MD, Yuan Luo, PhD, Sanjiv J. Shah, MD, Faraz S. Ahmad, MD, MS

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NBA Results Forecast: From League Dynamics Analysis to Predictive Model Implementation by Rodrigues F, Pires F

“…The methodology followed the CRISP-DM process, involving data preprocessing, feature selection, and model evaluation.…”
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KGPM: A Knowledge-Guided Predictive Model for Virtual Metering in Gas Wells by Jinman Li, Yang Lin, Chuangfeng An, Xiang Li, Tianhao Xiao, Luyao Hou, Jianing Qi, Jing Gong

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A structural equation modeling of predictive factors of mathematics undergraduates academic achievement by Oluwanife Segun Falebita, Akorede A. Asanre, Admire Chibisa

“…In this study, we assess the factors that predict the academic achievement of mathematics undergraduates through structural equation model (SEM).MethodsA survey was conducted with a sample of 411 randomly selected undergraduates from the Department of Mathematics in public universities in Southwestern Nigeria who were studying mathematical science or mathematics education. …”
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Letter: the limitations of gene set-based predictive models: a critical assessment by Lijing Yang, Wenbo Zhao, Min Jiang, Xianqiang Liu

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Analysis of the 50-mile ultramarathon distance using a predictive XGBoost model by Jonas Turnwald, David Valero, Pedro Forte, Katja Weiss, Elias Villiger, Mabliny Thuany, Volker Scheer, Matthias Wilhelm, Marilia Andrade, Ivan Cuk, Pantelis T. Nikolaidis, Beat Knechtle

“…Model explainability tools, including model features relative importances and prediction distribution plots were then used to investigate how each feature affects the predicted race speed. …”
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AI-delirium guard: Predictive modeling of postoperative delirium in elderly surgical patients by Sri Harsha Boppana, Divyansh Tyagi, Sachin Komati, Sri Lasya Boppana, Ritwik Raj, C. David Mintz

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Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review by Shrikant M. Harle, Rajan L. Wankhade

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