Search Results for author:
Found 5 papers, 0 papers with code
Accurate deep learning sub-grid scale models for large eddy simulations
Both sets of models are used to predict the SGS stresses for feature datasets generated with different filter widths, and at different Reynolds numbers.
A Computer Vision Enabled damage detection model with improved YOLOv5 based on Transformer Prediction Head
Additionally, convolutional block attention modules (CBAM) have been implemented to improve attention performance mechanisms for strong and discriminating deep spatial feature extraction that results in superior detection under various challenging environments.
Physics-aware deep learning framework for linear elasticity
The paper presents an efficient and robust data-driven deep learning (DL) computational framework developed for linear continuum elasticity problems.
Understanding EEG signals for subject-wise Definition of Armoni Activities
The learning is performed in a closed-loop by using feedback in the form of change in affective state.
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
Early identification and prevention of various plant diseases in commercial farms and orchards is a key feature of precision agriculture technology.
