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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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3182
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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3183
A Comparative Study of Drug Prediction Models using KNN, SVM, and Random Forest
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3184
A predictive model for calculating the likelihood of recurrent uterine fibroids after surgical intervention
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3185
Predictive modeling of longitudinal cracking in CRCP using PSO-tuned gradient boosting machines
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Predicting young Chinese consumers' intentions to purchase Western brands: Structural model analysis.
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3187
Deep learning models to predict CO2 solubility in imidazolium-based ionic liquids
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3188
Predictive modeling of MB adsorption on activated olive stone through artificial neural networks
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NOx Emission Prediction of Waste Gas Based on the Grey Self-memory Bernoulli Model
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Using nonlinear model predictive control to find optimal therapeutic strategies to modulate inflammation
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3195
Monitoring and predicting cotton leaf diseases using deep learning approaches and mathematical models
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WoFSCast: A Machine Learning Model for Predicting Thunderstorms at Watch‐to‐Warning Scales
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Prediction of virus-host associations using protein language models and multiple instance learning.
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Optimal fiber mix and prediction model for compressive strength of hybrid fiber reinforced concrete.
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