Browse Items (5 total)
- Collection: Vol. 4 No. 1 (2022)
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DeePNeu: Robust Detection of Pneumonia Symptoms using Faster R-CNN
Every year, more than 150 million people, primarily children under five, develop pneumonia. Various articles present various methods for detecting pneumonia. However, to accurately analyze chest X-ray images, radiologists …
Re-Fake: Fake Account Classification in OSN Using RNN
Online Social Network (OSN) is an application for enabling public communication and sharing information. However, the fake account in the OSN can spread false information froman unknown source. It is a challenging task to detect…
Robust Breast cancer Detection using Faster R-CNN Algorithm
One of the most common screening tools for breast cancer detection is ultrasound. However, the lack of qualified radiologists causes the diagnosis process to become a challenging task. Deep learning's promising achievement in various computer vision…
RobustPrediction Model of Covid-19 using Deep Learningalgorithm
Predicting the Covid-19 outbreak in a large dataset is a difficult task and complex problem. Many communities have put up different approaches to forecast COVID-19-positivecases. Conventional methods continue to have problems predicting the real…
StockTM: Accurate Stock Price Prediction Model Using LSTM
Stock prediction aims to forecast a future stock price trend to assist investors in making strategic investment choices. However, it is hard to predict the price in dynamic conditions, which makesinvestors hard to anticipate equities …