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14881
Characterizing Seasonal Variation of the Atmospheric Mixing Layer Height Using Machine Learning Approaches
Published 2025-04-01Get full text
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14882
Tomato Leaf Disease Identification Framework FCMNet Based on Multimodal Fusion
Published 2025-07-01Get full text
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14883
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14884
Multi-Scale Hierarchical Feature Fusion for Infrared Small-Target Detection
Published 2025-01-01Get full text
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14885
Inverse estimation of the release rate of the heated pollutant source with strong convection and its application to the exhaust system design
Published 2025-08-01“…In this paper, the three-dimensional CFD (Computational Fluid Dynamics) simulation was used to obtain the hourly concentration of pollutants and to study the applicability of four different regularization methods in the inverse estimation of the release rate of the SCHP source. …”
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14886
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14887
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14889
RDRM-YOLO: A High-Accuracy and Lightweight Rice Disease Detection Model for Complex Field Environments Based on Improved YOLOv5
Published 2025-02-01“…To address these limitations, this research aims to develop a lightweight yet high-accuracy detection model tailored for complex field environments that balances computational efficiency with robust performance. We propose RDRM-YOLO, an enhanced YOLOv5-based network, integrating four key improvements: (i) a cross-stage partial network fusion module (Hor-BNFA) is integrated within the backbone network’s feature extraction stage to enhance the model’s ability to capture disease-specific features; (ii) a spatial depth conversion convolution (SPDConv) is introduced to expand the receptive field, enhancing the extraction of fine-grained features, particularly from small disease spots; (iii) SPDConv is also integrated into the neck network, where the standard convolution is replaced with a lightweight GsConv to increase the accuracy of disease localization, category prediction, and inference speed; and (iv) the WIoU Loss function is adopted in place of CIoU Loss to accelerate convergence and enhance detection accuracy. …”
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14890
Association of Perioperative Skeletal Muscle Index Change With Outcome in Colorectal Cancer Patients
Published 2024-12-01“…SMI at the third lumbar vertebra level was calculated using computed tomography scans. Optimal cut‐off values for SMI were defined separately for males and females and classified as high or low preoperatively and at 3, 6, 9 and 12 months postoperatively. …”
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14891
Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection
Published 2025-01-01“…Existing methods, including post-processing optimization, specific model based improvements, and body part feature based methods, have limitations such as inaccurate handling of heavily occluded positive samples, high computational complexity, and susceptible to background noise. …”
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14895
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14896
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14897
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14898
Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions
Published 2024-02-01Get full text
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14899
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14900