Prediction of the Next Solar Rotation Synoptic Maps Using an Artificial Intelligence–based Surface Flux Transport Model by Hyun-Jin Jeong, Mingyu Jeon, Daeil Kim, Youngjae Kim, Ji-Hye Baek, Yong-Jae Moon, Seonghwan Choi

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A Hybrid Transformer-CNN Model for Interpolating Meteorological Data on the Tibetan Plateau by Quanzhe Hou, Zhiqiu Gao, Mingxinyu Lu, Yinxin Yu

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Efficient Finite-Set Model Predictive Voltage Control of Islanded-Mode Grid-Forming Inverters With Current Constraints by Changming Zheng, Jiafeng Yang, Zheng Gong

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An Efficient Computational Risk Prediction Model of Heart Diseases Based on Dual-Stage Stacked Machine Learning Approaches by Subhash Mondal, Ranjan Maity, Yachang Omo, Soumadip Ghosh, Amitava Nag

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An Improved IoT Based Hybrid Predictive Load Forecasting Model for a Greenhouse Integrated With Demand Side Management by Soumya Ranjan Biswal, Tanmoy Roy Choudhury, Babita Panda, Subhrajyoti Mishra

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A FUSION MODEL FOR STOCK MARKET PREDICTION USING PROPHET AND LONG SHORT-TERM MEMORY NEURAL NETWORKS by Shruti Mishra, Manjunathan N, Parangat Singh, Sandeep Kumar Satapathy, Sung-Bae Cho, Sachi Nandan Mohanty

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Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): Explanation and Elaboration. Translation into Russian by Karel G.M. Moons, Douglas G. Altman, Johannes B. Reitsma, John P.A. Loannidis, Petra Macaskill, Ewout W. Steyerberg, Andrew J. Vickers, David F. Ransohoff, Gary S. Collins

“…The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the reporting of studies developing, validating, or updating a prediction model, whether for diagnostic or prognostic purposes. …”
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Model Predictive Stator Flux Control of Permanent Magnet Synchronous Motor Based on Vector Duty Ratio Modulation by Jing He, Zongyu Li, Gongping Wu, Runzhong Tang

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Development and Validation of a Computer Vision-Based Tool for Automated 3D Dental Model Arch Prediction by Juan David Tamayo Quintero, Juan Bernardo Gómez Mendoza, Sonia Victoria Guevara Pérez

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Research on the Liquor Yield Prediction Model Integrating Hybrid Kernel Support Vector Regression and Dung Beetle Optimizer by Qinwen Deng, Yibo Xu, Qiang Han, Suyi Zhang, Xianguo Tuo

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Effect of fracture energy estimation on the predictions of mode II behavior of bonded joints using cohesive zone models by Michele Perrella, Enrico Armentani, Giuseppe Lamanna, Valentino Paolo Berardi

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EvapoDeep: A Dual Deep Learning Framework Utilizing GNSS Data for Evapotranspiration Modeling and Predictive Analysis by Saeed Ebrahimi, Saeid Haji-Aghajany, Yazdan Amerian, Melika Tasan

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Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data by Yuyang Yan, Wafaa Aljbawi, Sami O. Simons, Visara Urovi

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Analysis and Optimization of Customer Lifetime Value Prediction using Machine Learning and Deep Learning Models by RFM Techniques by Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, MohammadReza Sanaei

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Predicting Knee Cartilage Degradation and Osteoarthritis Onset Using a Hybrid Mathematical Modeling and Machine Learning Framework by F. Mekrane, R. Ouladsine, A. Barkaoui, R. Ghandour

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Lightweight Models for Influenza and COVID-19 Prediction in Heterogeneous Populations: A Trade-Off Between Performance and Level of Detail by Andrey Korzin, Vasiliy Leonenko

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The potential habitat of Phlomoides rotata in Tibet was based on an optimized MaxEnt model by Jun-Wei Wang, Jun-Wei Wang, Min Xu, Norbu Ngawang, Yonghao Chen, Ngawang Bonjor, Xiaoyan Jia, Zhefei Zeng, Zhefei Zeng, La Qiong, La Qiong

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ATT-BLKAN: A Hybrid Deep Learning Model Combining Attention is Used to Enhance Business Process Prediction by Junyi Xu, Xianwen Fang

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Physics-Based AI-Driven Surrogate Modeling for Structural Displacement Prediction in Mechanical Systems With Limited Sensor Data by Ali Hashemi, Javad Beheshti, Mahdieh Mohammadi

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Techno-Economic, Predictive Modeling, and Demand Response Analysis of a Renewable Energy-Based Microgrid for Residential Applications by Md. Feroz Ali, Md. Rafiqul Islam Sheikh, Abdullah Al Mamun, Md. Jakir Hossen

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