Abstract: We present a hardware-friendly deep learning architecture with one-dimensional convolutional neural networks (1D CNN) for fast analyzing fluorescence lifetime imaging (FLIM) data. A 1D CNN ...
Abstract: Convolutional Neural Networks (CNNs) have shown significant success in the low-light image enhancement task. However, most of existing works encounter challenges in balancing quality and ...
Marking guidelines are developed with the exam paper and are used by markers to guide their marking of a student's response. The table shows the criteria with each mark or mark range. Sample answers ...
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