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State of Health Prediction for Lithium-Ion Batteries Using Transformer–LSTM Fusion Model
Published 2025-03-01Get full text
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Multi-scale time series prediction model based on deep learning and its application.
Published 2025-01-01Get full text
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1624
A Bayesian Structural Equation Model to Predict Quality of Life in European Older Adults
Published 2025-07-01Get full text
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1625
Forecasting CO2 emissions in BRICS countries using the grey breakpoint prediction models
Published 2025-05-01Get full text
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Short-term prediction of regional energy consumption by metaheuristic optimized deep learning models
Published 2024-11-01Get full text
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1628
A machine learning model for predicting severity-adjusted in-hospital mortality in pneumonia patients
Published 2025-06-01Get full text
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Dynamic flood risk prediction in Houston: a multi-model machine learning approach
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1631
High entropy alloy property predictions using a transformer-based language model
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Research on building energy consumption prediction algorithm based on customized deep learning model
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Research on the prediction model of UV spectral water quality parameters based on INFO-LSSVM
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A prediction model for soil heavy metal content based on improved tensor completion
Published 2025-07-01Get full text
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A machine learning model for hub-height short-term wind speed prediction
Published 2025-04-01Get full text
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1638
Leveraging pretrained deep protein language model to predict peptide collision cross section
Published 2025-05-01Get full text
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1639
DINOV2-FCS: a model for fruit leaf disease classification and severity prediction
Published 2024-12-01“…However, the current prediction of disease degree by machine learning methods still faces challenges, including suboptimal accuracy and limited generalizability.MethodsIn light of the growing application of large model technology across a range of fields, this study draws upon the DINOV2 visual large vision model backbone network to construct the DINOV2-Fruit Leaf Classification and Segmentation Model (DINOV2-FCS), a model designed for the classification and severity prediction of diverse fruit leaf diseases. …”
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Multi-task aquatic toxicity prediction model based on multi-level features fusion
Published 2025-02-01“…Objectives: This article presents ATFPGT-multi, an advanced multi-task deep neural network prediction model for organic toxicity. Methods: The model integrates molecular fingerprints and molecule graphs to characterize molecules, enabling the simultaneous prediction of acute toxicity for the same organic compound across four distinct fish species. …”
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