Regression-based predictive modelling of software size of fintech projects using technical specifications by Iqra Kanwal, Ali Afzal Malik

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Investigating surgical risk in coronary artery disease: Utilizing ordinal regression for predictive modeling by Hewir Abdulqadir Khidir, Azhin Mohammed Khudhur, Dler Hussein Kadir, Nozad H. Mahmood, Dlshad Mahmood Saleh

“…In this study, an ordinal regression model with a Negative Log-log link function was used to predict the likelihood of having multiple blocked arteries based on various clinical and lifestyle factors. …”
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Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach by Ghazi Al-Khateeb, Ali Alnaqbi, Waleed Zeiada

“…This study contributes to advancing predictive modeling techniques for optimizing CRCP infrastructure management and durability.…”
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Predictive Modeling of Phenolic Adsorption from Yerba Mate Extract on Commercial Activated Carbon by Marina L. Kienteca, Matheus S. T. Arantes, Myriam Lorena N. Cerutti, Vitor R. Silva

“…This study explores the adsorption of phenolic compounds from yerba mate extract onto activated carbon, employing batch kinetic analysis and predictive modeling. Using the three-factor-three-level Box-Behnken experimental design, variables such as temperature (25, 35, 45 ºC), initial phenolic concentration (25, 50, 75 mg TPC/L), and adsorbent mass-to-liquid volume ratio (0.5, 1, 1.5) were examined. …”
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Quality Enhancement of Dar Crude Oil Pre-processing Using Model Predictive Control by Mohamed A. Rahim, Omnia Hassan, Mohammed A.S. Ahmed

“…Thus, to implement a control system that guarantees high control efficiency with less energy and heat consumption, the first and second-stage separators in Central Processing Facilities (CPFs) operated with conventional PID controllers are replaced with a higher layer of Model Predictive Controller (MPC). In this paper, Aspen HYSYS software is used to characterize the Dar blend in the Sudanese oil field. …”
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Tube-Based Robust Model Predictive Control for Autonomous Vehicle with Complex Road Scenarios by Yang Chen, Youping Sun, Junming Li, Jiangmei He, Chengwei He

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Predictive modelling of hospital-acquired infection in acute ischemic stroke using machine learning by Chun-Wei Chang, Chien-Hung Chang, Chia-Yin Chien, Jian-Lin Jiang, Tsai-Wei Liu, Hsiu-Chuan Wu, Kuo-Hsuan Chang

“…Abstract Hospital-acquired infections (HAIs) are serious complication for patients with acute ischemic stroke (AIS), often resulting in poor functional outcomes. However, no existing model can specifically predict HAI in AIS patients. …”
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Pathway insights and predictive modeling for type 2 diabetes using polygenic risk scores by Wen-Ling Liao, Jai-Sing Yang, Ting-Yuan Liu, Hsing-Fang Lu, Ya-Wen Chang, Fuu-Jen Tsai

“…We developed a polygenic risk score (PRS) model based on genome-wide association study (GWAS) findings and integrated it with clinical data to predict T2D risk. …”
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Modeling and Dynamic Parameterized Predictive Control of Dissolved Oxygen in Dual−Tank Bioreactor Systems by Muhang Li, Ran Tang, Yifei Li, Junning Cui

“…Experimental results in dual−tank setups show an RMSE below 0.05 and an R² exceeding 0.99, affirming the model’s predictive accuracy under varying oxygen conditions. …”
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Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms by Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal

“…This research focuses on the development of machine learning (ML) models to predict concrete's compressive strength (CS) at 7 and 28 days. …”
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Model Predictive Control for Six-Phase Induction Machines with Insight into Past Current Errors by Juan Carrillo-Ríos, Ignacio González-Prieto, Ángel González-Prieto, Mario J. Durán, Juan José Aciego

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Predictive modeling of gestational weight gain: a machine learning multiclass classification study by Audêncio Victor, Hellen Geremias dos Santos, Gabriel Ferreira Santos Silva, Fabiano Barcellos Filho, Alexandre de Fátima Cobre, Liania A. Luzia, Patrícia H.C. Rondó, Alexandre Dias Porto Chiavegatto Filho

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Water scarcity in Hebei Province, China: A predictive model and analysis of contributing factors by Wanliang Qian, Shun Wu, Min Fang, Xiaoyan Qian

“…Results indicate that GDP, temperature, industrial and tertiary water use, population, and total water consumption positively correlate with water scarcity, while precipitation and total water resources have a mitigating effect. The model demonstrates high predictive accuracy, with Mean Absolute Percentage Error (MAPE) and Mean Squared Percentage Error (MSPE) below 5 %, validating its reliability. …”
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Risk for ocular hypertension progression to early glaucoma: A predictive model and key predictors by Shaofen Huang, Man Luo, Guitong Ye, Zhenlan Yang, Lingling Liao, Nina Wu, Yingting Zhu, Xing Liu, Yehong Zhuo, Hui Xiao

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A robust and statistical analyzed predictive model for drug toxicity using machine learning by Deepak Rawat, Rohit Bajaj, Rachit Manchanda, Ankush Mehta, Prabhu Paramasivam, Suraj Kumar Bhagat, Abinet Gosaye Ayanie

“…Abstract Over the years, toxicity prediction has been a challenging task. Artificial intelligence and machine learning provide a platform to study toxicity prediction more accurately with a reduced time span. …”
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Research on Lateral Nonlinear Model Predictive Control of Transportation Vehicles in Open-pit Mines by WANG Bin, YUAN Xiwen, ZHANG Qian, HU Yunqing, LI Cheng

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Model Predictive Control Algorithm for Video Coding and Uplink Delivery in Delay-Critical Applications by Mourad Aklouf, Frederic Dufaux, Michel Kieffer, Marc Leny

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Model Predictive Control Strategies Performance Evaluation over a Pipeline Transportation System by Jorge Cardenas-Cabrera, Luis Diaz-Charris, Andrés Torres-Carvajal, Narciso Castro-Charris, Elena Romero-Fandiño, José David Ruiz Ariza, Javier Jiménez-Cabas

“…This study proposes using Model Predictive Control strategies for solving some issues related to the proper operation of pipelines. …”
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Who underreports smoking on birth records: a Monte Carlo predictive model with validation. by Thomas G Land, Anna S Landau, Susan E Manning, Jane K Purtill, Kate Pickett, Lauren Wakschlag, Vanja M Dukic

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Assessing the health impacts of past occupational activities in adulthood: a predictive model approach by Raquel Aparicio Mera, Antonio Alonso Callejo, Maria Marin Farrona, Daniel Duclos Bastias, Samuel Manzano Carrasco, Leonor Gallardo, Jorge Garcia Unanue, Jose Luis Felipe

“…Objective: The aim of this study was to analyse by a predictive model approach the effect of the relationship between the type of occupational activity and physical activity on anthropometric, physical, and mental health in an adult retired population. …”
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