Classifying COVID-19 positive X-ray using deep learning models

Using deep learning on X-ray images to detect threats

Classification of Chest Radiology Images in Order to Identify Patients with COVID-19 Using Deep Learning Techniques

Background and Aim: Due to the important role of radiological images for identifying patients with COVID-19, creating a model based on deep learning methods was the main objective of this study. Materials and Methods: 15,153 available chest images of normal, COVID-19, and pneumonia individuals which were in the Kaggle data repository was used as dataset of this research. Data preprocessing inc...

Development of Students’ Creativity through Learning Models in Physical Education during the Covid-19 Pandemic

Background. Physical education learning in the era of the COVID-19 pandemic has a remarkable impact on students’ creativity. Objectives. This study aims to determine the effect of applying the inquiry and discovery models in online physical education learning to develop high school students’ creativity. Methods. The multiple treatment and control with the pre and post-test procedure were used...

COVID-19 in Nursing Homes: The Problematic Management of Residents Without Positive COVID-19 RT-PCR

Classifying Options for Deep Reinforcement Learning

In this paper we combine one method for hierarchical reinforcement learning—the options framework—with deep Q-networks (DQNs) through the use of different “option heads” on the policy network, and a supervisory network for choosing between the different options. We utilise our setup to investigate the effects of architectural constraints in subtasks with positive and negative transfer, across a...