research
∙
10/18/2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
Weed management plays an important role in many modern agricultural appl...
share
research
∙
04/10/2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
In agricultural image analysis, optimal model performance is keenly purs...
research
∙
10/11/2021
Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems
Precision weed management offers a promising solution for sustainable cr...
research
∙
10/02/2017
Out-of-focus Blur: Image De-blurring
Image de-blurring is important in many cases of imaging a real scene or ...
research
∙
01/12/2017
Simplified Gating in Long Short-term Memory (LSTM) Recurrent Neural Networks
The standard LSTM recurrent neural networks while very powerful in long-...
research
∙
12/12/2016
Empirical Evaluation of A New Approach to Simplifying Long Short-term Memory (LSTM)
The standard LSTM, although it succeeds in the modeling long-range depen...
research
∙
12/03/2016
