QoS Provision for Controlling Energy Consumption in Ad-Hoc Wireless Sensor Networks

4 code implementations • ICIC Express Letters 2020 • Ahmed A. Mawgoud, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa

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.

Within the Lack of COVID-19 Benchmark Dataset: A Novel GAN with Deep Transfer Learning for Corona-virus Detection in Chest X-ray Images

no code implementations • Symmetry 2020 • Mohamed Loey, Florentin Smarandache, Nour Eldeen M. Khalifa

In the second scenario, the Alexnet is selected to be the main deep transfer model as it achieves 85. 2% in testing accuracy, while in the third scenario which includes 2 classes (COVID-19, and normal), Googlenet is selected to be the main deep transfer model as it achieves 100% in testing accuracy and 99. 9% in the validation accuracy.

COVID-19 Diagnosis Transfer Learning

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

no code implementations • 2 Apr 2020 • Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien, Sally Elghamrawy

One of the methods to detect those inflames is by using x-rays for the chest.

Transfer Learning

Deep Galaxy: Classification of Galaxies based on Deep Convolutional Neural Networks

no code implementations • 2 Sep 2017 • Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien, I. M. Selim

In this paper, a deep convolutional neural network architecture for galaxies classification is presented.

Classification General Classification