Search Results for author:
Found 2 papers, 0 papers with code
Spatio-Temporal Graph Neural Networks: A Survey
These powerful algorithms expanded deep learning models to non-Euclidean space and were able to achieve state of art performance in various applications including recommender systems and social networks.
The Power of Transfer Learning in Agricultural Applications: AgriNet
Additionally, all proposed models were found to accurately classify the 423 classes of plant species, diseases, pests, and weeds with a minimum accuracy of 87% for the Inception-v3 model. Finally, experiments to evaluate of superiority of AgriNet models compared to ImageNet models were conducted on two external datasets: pest and plant diseases dataset from Bangladesh and a plant diseases dataset from Kashmir.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
