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3201
PRESCOTT: a population aware, epistatic, and structural model accurately predicts missense effects
Published 2025-05-01Get full text
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3202
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3203
State of Health Prediction for Lithium-Ion Batteries Using Transformer–LSTM Fusion Model
Published 2025-03-01Get full text
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3204
Multi-scale time series prediction model based on deep learning and its application.
Published 2025-01-01Get full text
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3205
Forecasting CO2 emissions in BRICS countries using the grey breakpoint prediction models
Published 2025-05-01Get full text
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3206
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3207
Short-term prediction of regional energy consumption by metaheuristic optimized deep learning models
Published 2024-11-01Get full text
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3208
A machine learning model for predicting severity-adjusted in-hospital mortality in pneumonia patients
Published 2025-06-01Get full text
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3209
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3210
Dynamic flood risk prediction in Houston: a multi-model machine learning approach
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3211
High entropy alloy property predictions using a transformer-based language model
Published 2025-04-01Get full text
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3212
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3213
Research on building energy consumption prediction algorithm based on customized deep learning model
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3214
Research on the prediction model of UV spectral water quality parameters based on INFO-LSSVM
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3215
A prediction model for soil heavy metal content based on improved tensor completion
Published 2025-07-01Get full text
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3216
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3217
A machine learning model for hub-height short-term wind speed prediction
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3218
Leveraging pretrained deep protein language model to predict peptide collision cross section
Published 2025-05-01Get full text
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3219
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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3220
A Comparative Study of Drug Prediction Models using KNN, SVM, and Random Forest
Published 2025-03-01Get full text
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