Development of machine learning models for predicting early pregnancy outcomes based on β-hCG, progesterone, and estradiol

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A model for music emotion recognition and aesthetic education effect evaluation based on deep learning and multimodal data

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Data-driven analysis and prediction of traffic accident dynamics using spatiotemporal modeling and optimized machine learning techniques

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Corrections to “Internet of Things (IoT) and Machine Learning Model of Plant Disease Prediction–Blister Blight for Tea Plant”

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Api based automated plant disease analysis using transfer learning on pre-trained vision transformer model

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Modeling Pedestrian Priority at Unsignalized Crossings Using Machine Learning: Toward Data-Driven Transport Policy Solutions

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Predictive divergence in machine learning models for clinical mortality risk: A multicohort study of covid-19 patients

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The evolution of open educational practices: a comparative analysis of models and a new framework for the AI era

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Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning

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Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

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Availability prediction of solar water pumping system through stochastic modeling and nature-inspired algorithms

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Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning

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Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

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Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning

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Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

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Context-aware transformer models for accounting-based inventory prediction and supply chain cost optimization

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Harnessing multimodal large language models to interpret ecological momentary assessment-generated caregiving photographs

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English writing big data intelligent correction system integrating attention mechanism algorithm model

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IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors

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