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Frontiers24d
A deep learning model for the localization and extraction of brain tumors from MR images using YOLOv7 and grab cut algorithm - Frontiers
Keywords: brain tumor, deep learning, YOLOv7, grab cut algorithm, magnetic resonance imaging (MRI), gamma correction. Citation: Krishnapriya S and Karuna Y (2024) A deep learning model for the ...
Frontiers26d
Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China - Frontiers
This model expands the input features of the sample point cloud, improving the classification accuracy from 72.7 to 86.6%. Liu et al. (2022) compared the overall classification accuracy of tree ...
GitHub1mon
codinglabsong/food101-end2end-classifier-sagemaker-gradio: End-to-end Food101 image classifier using PyTorch, AWS SageMaker, Gradio, and wandb - GitHub
EfficientNet-B2 transfer learning (feature extraction + fine-tuning) Simple, reproducible training with local or SageMaker workflows; Dataset preparation: full or small sample subsets; Logging and ...
Scientific Research Publishing1mon
Lim, J.Z., Mountstephens, J. and Teo, J. (2022) Eye-Tracking Feature Extraction for Biometric Machine Learning. Frontiers in Neurorobotics, 15, Article ID: 796895.
While the keywords like online learning (TLS = 5185), education (TLS = 4012), students (TLS = 3391), performance (TLS = 3040), e-learning (TLS = 2934) were representing the general trends among the ...
IEEE1mon
A Hybrid Deep Learning Framework With Local-Global Feature Extraction for Intelligent Power System Stability Assessment - IEEE Xplore
Transient simulation is the key to ensure the safe and stable operation of power systems. After large disturbances, power systems may experience transient rotor angle instability and short-term ...
IEEE1mon
Sample-Level Improved Cross-Source Contrastive Learning for PAN and MS Joint Classification - IEEE Xplore
In recent years, the number and ways of acquiring panchromatic (PAN) images and multispectral (MS) images have increased, and manual labeling costs have also increased. Processing these data ...