News
In this paper, we propose a novel NIDS framework based on a deep convolution neural network that utilizes network spectrogram images generated using the short-time Fourier transform. To test the ...
With the rapid development of communication technology, an increasing amount of image information relies on network transmission. While this enhances transmission efficiency, it also raises the risk ...
This python library is the implementation of CNN for the application of Image Processing. Note: The library has been cited in the research published on Using Python and Julia for Efficient ...
Objective: This study aimed to assess the impact of implementing the diagnosis-related groups (DRGs) payment system on hospitalization costs and medical service outcomes at a single institution. The ...
MicroAlgo integrates the Least Significant Quantum Bit (LSQb) algorithm for quantum images with other related theories, such as quantum information theory and cryptography, to further expand its ...
tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems. Project created with the objective to make the process of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results