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A Comparative Study of Deep Learning Networks for COVID-19 Recognition in Chest X-ray Images


Aim:        To detect the COVID-19 using x-ray images by using Convolutional neural network. Abstract:            The Corona-virus 2019(COVID-19), which first occurs in Wuhan city of China in December 2019, spread quickly around the world and became a plague. Due to the r..

ATT Squeeze U-Net A Lightweight Network for Forest Fire Detection and Recognition


Aim:                To efficient CNN based system for fire detection in videos captured in uncertain surveillance scenariosSynopsis:            Vision based fire detection framework has lately picked up popularity when contrasted ..

Automatic Detection and Monitoring of Diabetic Retinopathy Using Efficient Convolutional NeuralNetworks


Aim:             This paper aim to detect the diabetic disease identification using deep learning methods. Abstract: Diabetic Retinopathy is a complication of diabetes that is caused due to the changes in the blood vessels of the retina and is one of the leading causes of blindness in th..

Deep Ensemble Machine for Video Classification


Aim:             This paper aim to classify the different types of videos using deep learning framework with convolution neural network (CNN) Abstract:             Video classification has been extensively researched in compute..

Hybrid Prediction Models For Rainfall Forecasting


Aim:            Analyze the rain fall data from database for rain prediction.Abstract:                                   &nbs..

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