Abstract: Convolutional neural network (CNN), with the ability of feature learning and nonlinear mapping, has demonstrated its effectiveness in prognostics and health management (PHM). However, an ...
Abstract: Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. In this paper, ...
1 Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh. 2 Department of Computer Science and Engineering, Green University of Bangladesh, Narayanganj, Bangladesh ...
Data from the Mars Express orbiter has been used to create a visualization of "a vast system of deep and steep valleys that stretches out for around 1190 km," on Mars called Noctis Labyrinthus, ...
Stunning map of ancient roads will give you a good reason to think about the Roman Empire more often
How often do you think about the Roman Empire? For a team of international researchers who went all in and mapped the ancient Roman road system, the answer — truly — is every day. And now, anyone can ...
We propose a new method for cancer subtype classification from histopathological images, which can automatically detect tumor-specific features in a given whole slide image (WSI). The cancer subtype ...
This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature ...
Editor’s Note: This story originally appeared in the “Inside CNN” newsletter. Create a free CNN account to access this weekly newsletter and much more. CNN’s John King has become synonymous with the ...
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