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Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on UAV Remote-Sensing Imagery., , , , , , , , , and 2 other author(s). CoRR, (2022)Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages., , , , , , , , , and 2 other author(s). CoRR, (2022)Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications., , , , , , , , , and 2 other author(s). CoRR, (2022)Predicting Generalization in Deep Learning Using Data Augmentation and posterior Probability Estimators., and . MLSP, page 1-6. IEEE, (2023)Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes., , , and . CoRR, (2024)Structure Preserving PINN for Solving Time Dependent PDEs with Periodic Boundary., , , , and . CoRR, (2024)Generalized Resubstitution for Classification Error Estimation., and . J. Mach. Learn. Res., (2022)PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization, and . (2022)cite arxiv:2202.01943.Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops., , , , , , , , , and . Remote. Sens., 16 (11): 1906 (June 2024)Optimal fault detection in stochastic Boolean regulatory networks., and . GlobalSIP, page 1386-1389. IEEE, (2014)