4 papers
TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning
Arash Sajjadi, Mark Eramian
TGraphX presents a novel paradigm in deep learning by unifying convolutional neural networks (CNNs) with graph neural networks (GNNs) to enhance visual reasoning tasks. Traditional…
A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize
Nazifa Khan, Oliver A. S. Lyon, Mark Eramian +1
Manual determination of plant phenotypic properties such as plant architecture, growth, and health is very time consuming and sometimes destructive. Automatic image analysis has be…
Crop Lodging Prediction from UAV-Acquired Images of Wheat and Canola using a DCNN Augmented with Handcrafted Texture Features
Sara Mardanisamani, Farhad Maleki, Sara Hosseinzadeh Kassani +12
Lodging, the permanent bending over of food crops, leads to poor plant growth and development. Consequently, lodging results in reduced crop quality, lowers crop yield, and makes h…
From Helmut Jürgensen's Former Students: The Game of Informatics Research
Mark Daley, Mark Eramian, Christopher Power +1
Personal reflections are given on being students of Helmut Jürgensen. Then, we attempt to address his hypothesis that informatics follows trend-like behaviours through the use of a…