Abstract: Automated object detection (OD) in real-time agricultural applications poses unique challenges due to uneven lighting conditions, object similarities, and cluttered environments. In ...
Accuracy and Computational Cost of Machine Learning Models for Electromagnetic Object Classification
Abstract: Classification of randomly oriented objects from electromagnetic data is important in applications such as remote sensing and security screening, where robustness to simulation/measurement ...
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