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12/28/2022
Characteristics-Informed Neural Networks for Forward and Inverse Hyperbolic Problems
We propose characteristic-informed neural networks (CINN), a simple and ...
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12/14/2022
Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning
Plastic shopping bags that get carried away from the side of roads and t...
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07/31/2022
Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages
The boll weevil (Anthonomus grandis L.) is a serious pest that primarily...
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07/15/2022
Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications
To control boll weevil (Anthonomus grandis L.) pest re-infestation in co...
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07/14/2022
Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on UAV Remote-Sensing Imagery
The cotton boll weevil, Anthonomus grandis Boheman is a serious pest to ...
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05/27/2022
Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture
Physics-informed neural networks (PINNs) are revolutionizing science and...
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02/04/2022
PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization
Physics-informed neural networks (PINNs) have recently emerged as a prom...
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10/23/2021
Generalized Resubstitution for Classification Error Estimation
We propose the family of generalized resubstitution classifier error est...
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12/23/2020
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI
Motor imagery brain computer interface designs are considered difficult ...
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09/07/2020
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism
Physics-Informed Neural Networks (PINNs) have emerged recently as a prom...
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07/02/2020
A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes
For most diseases, building large databases of labeled genetic data is a...
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06/16/2020
Deep Multimodal Transfer-Learned Regression in Data-Poor Domains
In many real-world applications of deep learning, estimation of a target...
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02/08/2019
Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty
Single-cell gene expression measurements offer opportunities in deriving...
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02/24/2017
