COVID-19 prediction based on genome similarity of human SARS-CoV-2 and bat SARS-CoV-like coronavirus

H Arslan - Computers & Industrial Engineering, 2021 - Elsevier
This paper proposes an efficient and accurate method to predict coronavirus disease 19
(COVID-19) based on the genome similarity of the severe acute respiratory syndrome …

Deep multi-view feature learning for detecting COVID-19 based on chest X-ray images

H Hosseinzadeh - Biomedical Signal Processing and Control, 2022 - Elsevier
Aim COVID-19 is a pandemic infectious disease which has influenced the life and health of
many communities since December 2019. Due to the rapid worldwide spread of this highly …

Performance review of ensemble learning method use in COVID-19 case detection

VF Fadli, I Soesanti, HA Nugroho - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
COVID-19 cases attract most computer science researchers. There are two popular learning
approaches: Machine Learning (ML) and Deep Learning (DL). The approach was applied …

Automatic segmentation of COVID-19 from computed tomography images using modified U-Net model-based majority voting approach

M Uçar - Neural Computing and Applications, 2022 - Springer
Abstract The coronavirus disease (COVID-19) is an important public health problem that has
spread rapidly around the world and has caused the death of millions of people. Therefore …

Identification of soybean mutant lines based on dual-branch CNN model fusion framework utilizing images from different organs

G Wu, L Fei, L Deng, H Yang, M Han, Z Han, L Zhao - Plants, 2023 - mdpi.com
The accurate identification and classification of soybean mutant lines is essential for
developing new plant varieties through mutation breeding. However, most existing studies …

DNN based approach to classify Covid'19 using convolutional neural network and transfer learning

B Joshi, AK Sharma, NS Yadav… - International Journal of …, 2022 - Taylor & Francis
The Coronavirus pandemic has taken the world by surprise in its ability to change the way
everything functions today. It has severely impacted the health, both mental as well as …

A deep learning-based COVID-19 classification from chest X-ray image: case study

G Appasami, S Nickolas - The European Physical Journal Special Topics, 2022 - Springer
The novel corona virus disease (COVID-19) is a pandemic disease that is currently affecting
over 200 countries around the world and more than 6 millions of people died in last 2 years …

A rapid review on ensemble algorithms for covid-19 classification using image-based exams

EP Portela, OAC Cortes, JC da Silva - International Conference on …, 2022 - Springer
The world recently has faced the COVID-19 pandemic, a disease caused by the severe
acute respiratory syndrome. The main features of this disease are the rapid spread and high …

YoDenBi-NET: YOLO+ DenseNet+ Bi-LSTM-based hybrid deep learning model for brain tumor classification

A Karacı, K Akyol - Neural Computing and Applications, 2023 - Springer
Brain tumor, which is the deadliest disease in adults, grows rapidly and disrupts the
functioning of organs. Brain tumors can be of different types, depending on their shape …

RED-CNN: the multi-classification network for pulmonary diseases

SL Yi, SL Qin, FR She, TW Wang - Electronics, 2022 - mdpi.com
Deep learning is a convenient method for doctors to classify pulmonary diseases such as
COVID-19, viral pneumonia, bacterial pneumonia, and tuberculosis. However, such a task …