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Found 2 papers, 1 papers with code
Malware Classification using Deep Neural Networks: Performance Evaluation and Applications in Edge Devices
With the increasing extent of malware attacks in the present day along with the difficulty in detecting modern malware, it is necessary to evaluate the effectiveness and performance of Deep Neural Networks (DNNs) for malware classification.
LCA-Net: Light Convolutional Autoencoder for Image Dehazing
This network achieves optimum dehazing performance at a much faster rate, on several standard datasets, comparable to the state-of-the-art methods in terms of image quality.
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Image Dehazing
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