An IoT-Based Deep Learning Framework for Real-Time Detection of COVID-19 through Chest X-ray Images

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...

Oil spill detection using in Sentinel-1 satellite images based on Deep learning concepts

Awareness of the marine area is very important for crisis management in the event of an accident. Oil spills are one of the main threats to the marine and coastal environments and seriously affect the marine ecosystem and cause political and environmental concerns because it seriously affects the fragile marine and coastal ecosystem. The rate of discharge of pollutants and its related effects o...

Using deep learning on X-ray images to detect threats

Human identification using chest x-ray images

This paper proposes a new domain of human identification based on the classification of chest x-ray images. Like fingerprint, retina or face images have been used for human identification, the question whether chest x-ray images can provide valid, accurate and reliable information about the identity of an individual has not been investigated so far and is thus proposed here. Various approaches ...

An Automatic Detection of the Fire Smoke Through Multispectral Images

One of the consequences of a fire is smoke. Occasionally, monitoring and detection of this smoke can be a solution to prevent occurrence or spreading a fire. On the other hand, due to the destructive effects of the smoke spreading on human health, measures can be taken to improve the level of health services by zoning and monitoring its expansion process. In this paper, an automated method is p...