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Found 4 papers, 2 papers with code
A deep learning based steganography integration framework for ad-hoc cloud computing data security augmentation using the V-BOINC system
The goal of this study is to come up with a way to improve steganography in ad hoc cloud systems by using deep learning.
QoS Provision for Controlling Energy Consumption in Ad-Hoc Wireless Sensor Networks
The primary goals of the research are to discover the best techniques to 1) minimize the total consumed energy in the ad-hoc wireless sensor network, and 2) maximize the ad-hoc wireless sensor network lifetime.
Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset
One of the methods to detect those inflames is by using x-rays for the chest.
Deep Galaxy: Classification of Galaxies based on Deep Convolutional Neural Networks
In this paper, a deep convolutional neural network architecture for galaxies classification is presented.
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