Risk prediction model of physical frailty for a rural older population: a cross-sectional study in Hunan Province, China by Xiuyan Guo, Chunhong Shi

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Data Analytics and Machine Learning Models on COVID-19 Medical Reports Enhanced with XAI for Usability by Oliver Lohaj, Ján Paralič, Zuzana Paraličová, Daniela Javorská, Elena Zagorová

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Computerised Method of Multiparameter Optimisation of Predictive Control Algorithms for Asynchronous Electric Drives by Grygorii Diachenko, Serhii Semenov, Katarzyna Marczak, Gernot Schullerus, Ivan Laktionov

“…A computer model was designed in MATLAB and Simulink R2024a based on the gradient-based model predictive control strategy. …”
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Predictive Processing in Autism Spectrum Disorder: The Atypical Iterative Prior Updating Account by Zhuanghua Shi, Fredrik Allenmark, Laura A. Theisinger, Rasmus L. Pistorius, Stefan Glasauer, Hermann J. Müller, Christine M. Falter-Wagner

“…Background: The nature of predictive-processing differences between individuals with autism spectrum disorder (ASD) and typically developing (TD) individuals remains contested. …”
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Predicting the distribution of Sphagna (Bryophyta) in Türkiye: a perspective of present and future climate scenarios by Gökhan Abay, Serkan Gül

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Predictable motorway ramp curves are safer by Johan Vos

“…The data were employed in three steps: 1) constructing a Bayesian model that mimics drivers’ expectations, 2) testing the predictions of this model against real curve characteristics, and 3) examining the relationship between disparities in expectations, reality, and crash frequency. …”
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Cardiometabolic risk factors in predicting obstructive coronary artery disease in patients with non-ST-segment elevation acute coronary syndrome by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, E. D. Emtseva, A. A. Vishnevskiy

“…Aim. To develop predictive models of obstructive coronary artery disease (OPCA) in patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS) based on the predictive potential of cardiometabolic risk (CMR) factors.Material and methods. …”
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Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traits by F. Shokor, P. Croiseau, H. Gangloff, R. Saintilan, T. Tribout, T. Mary-Huard, B.C.D. Cuyabano

“…We proposed a novel hybrid model that that combines both DL and GBLUP (DLGBLUP), which uses the output of the traditional GBLUP, and enhances its predicted genetic values (PGV) by accounting for nonlinear genetic relationships between traits using DL. …”
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Electrocardiographic, echocardiographic and lipid parameters in predicting obstructive coronary artery disease in patients with non-ST elevation acute coronary syndrome by M. M. Tsivanyuk, B. I. Geltser, K. I. Shakhgeldyan, E. D. Emtseva, G. S. Zavalin, O. I. Shekunova

“…Models based on XGBoost and ANN had less predictive value.…”
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Deep-Learning-Based AI-Model for Predicting Dental Plaque in the Young Permanent Teeth of Children Aged 8–13 Years by Banu Çiçek Tez, Yasin Güzel, Bahar Başak Kızıltan Eliaçık, Zafer Aydın

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Investigating the impact of meteorological parameters on daily soil temperature changes using machine learning models by Farrokh Asadzadeh, Somayeh Emami, Ahmed Elbeltagi, Muhammed Ernur Akiner, Vahid Rezaverdinejad, Farshid Taran, Ali Salem

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Deep Learning based Models for Drug-Target Interactions by Ali K. Abdul Raheem, Ban N. Dhannoon

Subjects: “…Bi-GRU, Deep Learning, Drug-target interactions, Drug Discovery, MPNN, Prediction computational models.…”
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Adaptive Duty-Cycle Adjustment Based Dual-Vector Model Predictive Current Control for High Speed PMSM by Mingli Ji, Xiaoqiang Li, Miao Xie, Weijie Xue, Xiaojie Wu

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Nonlinear Model Predictive Control Energy Management Strategy for Hybrid Power Ships Based on Working Condition Identification by Yucheng Yan, Zhichao Chen, Diju Gao

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Construction and validation of a predictive model for intracardiac thrombus risk in patients with dilated cardiomyopathy: a retrospective study by Xuetao Zhu, Jun Li, Yi Jiang, Tianqi Wang, Zeping Hu

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Multi-Time Scale Optimal Dispatch of Distribution Network with Pumped Storage Station Based on Model Predictive Control by Pengyu Pan, Zhen Wang, Gang Chen, Huabo Shi, Xiaoming Zha

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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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Predictive modeling and optimization of degasser efficiency in recirculating aquaculture systems using a hybrid ANN-PSO approach by Subha M. Roy, Hyunsoo Choi, Taeho Kim

“…To achieve this, an artificial neural network (ANN) and particle swarm optimization (PSO) were combined for parametric optimization and the predictive modeling of the SSE. The ANN model was trained using experimental data to predict the SSE, and PSO was then employed to optimize the operational parameters to achieve the maximum SSE. …”
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Development of a predictive model for post-surgical chronic pain: a retrospective analysis of calcaneal fracture patients by Shibo Zhai, Shuo Zhang, Xinzhe Ma, Yongchao Gong, Zhiyong Hou, Wei Chen, Lijie Ma

“…Abstract Background Chronic pain following calcaneal fracture surgery substantially diminishes patients' quality of life, yet effective risk prediction tools remain scarce. This study aimed to develop and validate a reliable predictive model for assessing the risk of chronic pain development after calcaneal fracture surgery. …”
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Quantifying sustainable urbanization by predictive modeling for better agricultural management: A case study in the South Asiatic Region by Kashif Ali, Jawad Ali Shah, Saif Ullah, Syed Turab Raza

“…Idrisi's Cellular Automata (CA)–Markov model was used to predict future scenarios. The results showed that urbanization was rapidly accelerated in large LULC changes that were unpredictable. …”
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