RETRACTED: Predictive modelling of post-monsoon groundwater quality in Telangana using machine learning techniques by Olentsova Julia, Kukartsev Vladislav, Orlov Vasiliy, Semenova Evgenia, Pinchuk Ivan

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Predictive Modeling of Atrial Fibrillation Using a Hybrid Multinomial-Neutrosophic Approach for Biomarker Identification, by Lorenzo Cevallos-Torres, Luis Pilacuan-Bonete, Rosangela Caicedo-Quiroz, Franklin Parrales-Bravo, Eduardo Rubio-Bonito

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Enhanced Model Predictive Control Using State Variable Feedback for Steady-State Error Cancellation by Marcos Andreu, Jaime Rohten, José Espinoza, José Silva, Esteban Pulido, Lesyani Leon

“…However, achieving accurate steady-state reference tracking hinges not just on a precise mathematical model of the system but also on its parameters. This document presents a predictive control scheme augmented with integral state feedback tailored to a photovoltaic (PV) application. …”
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Computationally Efficient Model Predictive Control of Delta-Connected CHB-Based Active Power Filter by Kehl Zdeněk, Glasberger Tomas, Peroutka Zdeněk

“…The control combines the modified instantaneous active-reactive power (PQ) theory for power grid control and subordinated optimized (two-step) finite control set model predictive control (FCS-MPC) for control of CHB converters. …”
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On the Use of Predictive Models for Improving the Quality of Industrial Maintenance: An Analytical Literature Review of Maintenance Strategies by Oana Merkt

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Genetic Analysis and Predictive Modeling of COVID-19 Severity in a Hospital-Based Patient Cohort by Iraide Alloza-Moral, Ane Aldekoa-Etxabe, Raquel Tulloch-Navarro, Ainhoa Fiat-Arriola, Carmen Mar, Eloisa Urrechaga, Cristina Ponga, Isabel Artiga-Folch, Naiara Garcia-Bediaga, Patricia Aspichueta, Cesar Martin, Aitor Zarandona-Garai, Silvia Pérez-Fernández, Eunate Arana-Arri, Juan-Carlos Triviño, Ane Uranga, Pedro-Pablo España, Koen Vandenbroeck-van-Caeckenbergh

“…In addition, we designed a multivariate predictive model including HLA, PRS and clinical data which displayed an area under the curve (AUC) value of 0.79. …”
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Human-Inspired Gait and Jumping Motion Generation for Bipedal Robots Using Model Predictive Control by Zhen Xu, Jianan Xie, Kenji Hashimoto

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A predictive model based on serum bicarbonate for cardiovascular events after initiation of peritoneal dialysis by Dashan Li, Rongxue Liu, Xiangming Qi, Yonggui Wu

“…The aim of the study was to evaluate serum bicarbonate as a risk factor and derive a model of new CVE.Methods A predictive model was established by performing an observational study in 187 PD patients obtained from the First Affiliated Hospital of Anhui Medical University. …”
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A predictive model to identify optimal candidates for surgery among patients with metastatic colorectal cancer by Xiqiang Zhang, Zhaoyi Jing, Longchao Wu, Ze Tao, Dandan Lu

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Simplified model for predictive direct power control with fixed switching frequency for grid-tie inverters by Van Quang Binh Ngo, Khanh-Quang Nguyen, Dinh-Long Hoang, Tu-Ha Nguyen

Subjects: “…Model predictive control, Fixed switching frequency, Direct power control, Grid-tie inverters…”
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Predictive models based on machine learning to analyze the adoption of digital payments in Latin America and the Caribbean by Jiang Wagner Mamani Lopez, Antonio Víctor Morales Gonzales, Pedro Pablo Chambi Condori

“…This study aims to develop machine learning models to predict the adoption of digital payments in Latin America and the Caribbean using statistical data from the World Bank's Global Findex Database for 2021. …”
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Predictive Models for Single-Droplet Ignition in Static High-Temperature Air in Different Gravity Environments by Xiaoyang Lan, Huilong Zheng, Yu Fang, Xianzhang Peng, Xiaofang Yang, Xiaowu Zhang

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Dual‐layer model predictive control‐based scheduling of integrated electricity‐hydrogen‐heat microgrid by Pengfei Han, Xiaoyuan Xu, Zheng Yan, Zhenfei Tan

“…Then, a dual‐layer model predictive control (DLMPC) method is proposed for the integrated electricity, hydrogen, and heating microgrid (IEHHM) scheduling. …”
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Modeling Ecological Risk in Bottom Sediments Using Predictive Data Analytics: Implications for Energy Systems by Bartosz Przysucha, Monika Kulisz, Justyna Kujawska, Michał Cioch, Adam Gawryluk, Rafał Garbacz

“…Both models showed a high predictive accuracy, demonstrating the potential of data-driven methods in sediment quality assessment. …”
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Computationally Efficient and Loss-Minimizing Model Predictive Control for Induction Motors in Electric Vehicle Applications by Carolina Nicolás-Martín, Miguel E. Montilla-DJesus, David Santos-Martín, Jorge Martínez-Crespo

Subjects: “…model predictive control…”
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Speed sensorless sliding mode control of wave power generation based on model predictive strategy by LIANG Haohui, YANG Junhua, YANG Mengli, WANG Chaofan, HUANG Yi, LUO Qi

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Predictive ANN Modeling and Optimization of Injection Molding Parameters to Minimize Warpage in Polypropylene Rectangular Parts by Juan Luis Gámez, Amparo Jordá-Vilaplana, Miguel Angel Peydro, Miguel Angel Selles, Samuel Sanchez-Caballero

“…Based on the Backpropagation Neural Network algorithm, the optimized ANN model accurately predicts warpage by considering factors such as part thickness, flow path distance, and flow path tangent. …”
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Predictive model for sarcopenia in patients with non-small cell lung cancer and malignant pleural effusion by Hengxing Gao, Xuexue Zou, Meng Fan, Mingwei Chen

“…A nomogram was developed to facilitate personalized prediction of sarcopenia for individual patient. The ROC curve demonstrated that the nomogram model incorporating these predictive factors achieved an area under the curve (AUC) of 0.889, indicating its discriminatory power in predicting sarcopenia. …”
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AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models by Faruk Dikmen, Ahmet Demir, Bestami Özkaya, Muhammad Owais Raza, Jawad Rasheed, Tunc Asuroglu, Shtwai Alsubai

“…Abstract The integration of artificial intelligence (AI) in wastewater treatment management offers a promising approach to optimizing effluent quality predictions and enhancing operational efficiency. This study evaluates the performance of machine learning models in predicting key wastewater effluent parameters Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), Total Suspended Solids (TSS), Total Effluent Nitrogen and Total Effluent Phosphorus. …”
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Model Predictive Control for Autonomous Ship Navigation with COLREG Compliance and Chart-Based Path Planning by Primož Potočnik

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