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Incidence and Factors Predicting Skin Burns at the Site of Indifferent Electrode during Radiofrequency Catheter Ablation of Cardiac Arrhythmias
Published 2016-01-01“…Also, we wanted to determine the factors predicting skin burns after cardiac RFA procedures at the indifferent electrode skin pad site. …”
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2943
A novel multi-source data-driven energy consumption prediction model for Venlo-type greenhouses in China
Published 2025-03-01Subjects: Get full text
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2944
HEDDI-Net: heterogeneous network embedding for drug-disease association prediction and drug repurposing, with application to Alzheimer’s disease
Published 2025-02-01“…Notably, over 40% of the predicted candidates in the clusters of commonly prescribed clinical drugs Donepezil and Galantamine had been tested in clinical trials, validating the model's predictive accuracy and practical relevance. …”
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Prediction of Pressing Quality for Press-Fit Assembly Based on Press-Fit Curve and Maximum Press-Mounting Force
Published 2015-01-01“…In order to predict pressing quality of precision press-fit assembly, press-fit curves and maximum press-mounting force of press-fit assemblies were investigated by finite element analysis (FEA). …”
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A Machine Learning Approach to Optimize, Model, and Predict the Machining Factors in Dry Drilling of Nimonic C263
Published 2022-01-01“…The feed forward neural network (FFNN) was used to develop a predictive model. The prediction capability was validated with a predictive model developed by Taguchi analysis. …”
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Performance Analysis of Reheat Steam Temperature Control System of Thermal Power Unit Based on Constrained Predictive Control
Published 2019-01-01“…In order to achieve precise control of reheat steam temperature, the performance of the reheat temperature control system is analyzed according to the data that are obtained based on the constrained predictive control algorithm. Firstly, the process and mathematical model of reheat steam temperature control system are introduced. …”
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2948
Prediction of the Bending Strength of Boltless Steel Connections in Storage Pallet Racks: An Integrated Experimental-FEM-SVM Methodology
Published 2020-01-01“…Based on the M–θ curve of the FE simulation, support vector machines (SVMs) were trained to predict the flexural rigidity of beam-to-column joints. …”
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2949
An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis
Published 2025-02-01“…The combined effect of approaches will be evidence of the modern healthcare decision-making support system for the risk prediction of CHD.…”
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Personalized prediction of anticancer potential of non-oncology drugs through learning from genome derived molecular pathways
Published 2025-02-01“…We systematically benchmarked the performance of CHANCE and show its predictions are better than previous model and highly interpretable. …”
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2951
A Direct Eulerian GRP Scheme for the Prediction of Gas-Liquid Two-Phase Flow in HTHP Transient Wells
Published 2013-01-01Get full text
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2952
Predicting risk on cardiovascular or cerebrovascular disease based on a physical activity cohort: Results from APAC study
Published 2023-04-01“…Abstract Commonly used prediction models have been primarily constructed without taking physical activity into account. …”
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A machine learning model using the snapshot ensemble approach for soil respiration prediction in an experimental Oak Forest
Published 2025-03-01“…Our proposed model accurately predicted soil CO2 flux for the four studied sites: East Low, West Low, East High, and West High. …”
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2954
A Recursive Attribute Reduction Algorithm and Its Application in Predicting the Hot Metal Silicon Content in Blast Furnaces
Published 2025-01-01“…The experiments demonstrate the proposed algorithm’s uniqueness and its ability to enhance the prediction accuracy of the hot metal silicon content in blast furnaces.…”
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Hypotension prediction index for minimising intraoperative hypotension: A systematic review and meta-analysis of randomised controlled trials
Published 2024-11-01Subjects: Get full text
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Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion
Published 2025-01-01Subjects: “…gene-drug interaction prediction…”
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2958
Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework
Published 2025-01-01“…The existing tools being used for predicting viruses exhibit various limitations. The severe pneumonia caused by the rapidly spreading coronavirus disease (COVID-19) is predicted to have a significant negative impact on the healthcare sector. …”
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