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12941
Breast cancer survival prediction using an automated mitosis detection pipeline
Published 2024-11-01Get full text
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12942
Stress–strain curve predictions by crystal plasticity simulations and machine learning
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12943
Application of Backpropagation Neural Network in Predicting Mandatory Test Vehicle Parks
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12944
Predictability of tropical Pacific decadal variability is dominated by oceanic Rossby waves
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12945
An enhanced Transformer framework with incremental learning for online stock price prediction.
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12946
A Machine Learning Approach to Credit Card Transaction Fraud Prediction
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12947
A Consistent Differential Privacy Dynamic Trajectory Flow Prediction Method
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12948
THE OUTBREAK’S MODELING OF CORONAVIRUS (COVID-19) USING THE MODIFIED SEIR MODEL IN INDONESIA
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12949
Aircraft Engine Remaining Useful Life Prediction Using Machine Learning
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12950
Combination of dynamic TOPMODEL and machine learning techniques to improve runoff prediction
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12951
A Study of Load Characteristics Analysis and Prediction of Urban Power Grids
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12952
Disease candidate genes prediction using positive labeled and unlabeled instances
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12953
A cognition‐inspired trajectory prediction method for vehicles in interactive scenarios
Published 2023-08-01Get full text
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12954
Predicting survival in prospective clinical trials using weakly-supervised QSP
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12955
Theory of Planned Behavior in predicting condom use in Latin-American Women
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12956
Finding a constrained number of predictor phenotypes for multiple outcome prediction
Published 2025-02-01Get full text
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12957
Use Self-Training Random Forest for Predicting Winter Wheat Yield
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12958
Brain Age Prediction Using a Lightweight Convolutional Neural Network
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12959
Effectiveness of Open, High and Low Prices in Stock Market Price Prediction
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12960
Learning motif features and topological structure of molecules for metabolic pathway prediction
Published 2025-04-01“…MotifMol3D is an open-source tool that is available at https://github.com/Irena-Zhang/MotifMol3D.git . Scientific contribution MotifMol3D integrates motif information, graph neural networks, and 3D structural data to enhance feature extraction for small-sample molecules, improving the precision and interpretability of metabolic pathway predictions. …”
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