[Retracted] COVID‐19 Detection Based on Lung Ct Scan Using Deep Learning Techniques
SV Kogilavani, J Prabhu, R Sandhiya… - … Methods in Medicine, 2022 - Wiley Online Library
SARS‐CoV‐2 is a novel virus, responsible for causing the COVID‐19 pandemic that has
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …
[PDF][PDF] Adoption of e-learning during lockdown in India
SK Mathivanan, P Jayagopal, S Ahmed… - International Journal of …, 2021 - academia.edu
Education institutions like Schools, colleges, and universities in India are currently based on
traditional learning methods and follow the conventional setting of face-to-face …
traditional learning methods and follow the conventional setting of face-to-face …
Detection and monitoring of the asymptotic COVID-19 patients using IoT devices and sensors
Purpose Many investigations are going on in monitoring, contact tracing, predicting and
diagnosing the COVID-19 disease and many virologists are urgently seeking to create a …
diagnosing the COVID-19 disease and many virologists are urgently seeking to create a …
Perceived stress due to COVID-19 pandemic among employed professional teachers
The unexpected occurrence of the COVID-19 outbreak has undeniably disrupted the
normalcy of life. Stress has become an important concern in education since the COVID-19 …
normalcy of life. Stress has become an important concern in education since the COVID-19 …
Diagnosis of retinal diseases based on Bayesian optimization deep learning network using optical coherence tomography images
M Subramanian, MS Kumar… - Computational …, 2022 - Wiley Online Library
Retinal abnormalities have emerged as a serious public health concern in recent years and
can manifest gradually and without warning. These diseases can affect any part of the retina …
can manifest gradually and without warning. These diseases can affect any part of the retina …
An Empirical Analysis of an Optimized Pretrained Deep Learning Model for COVID‐19 Diagnosis
SKB Sangeetha, MS Kumar, DK… - … Methods in Medicine, 2022 - Wiley Online Library
As a result of the COVID‐19 outbreak, which has put the world in an unprecedented
predicament, thousands of people have died. Data from structured and unstructured sources …
predicament, thousands of people have died. Data from structured and unstructured sources …
Mobile technologies for contact tracing and prevention of COVID-19 positive cases: a cross-sectional study
Purpose The purpose of this paper is to review the techniques for versatile advancements in
contact tracing for the coronavirus disease 2019 (COVID-19) positive cases in this pandemic …
contact tracing for the coronavirus disease 2019 (COVID-19) positive cases in this pandemic …
Forecasting of the SARS-CoV-2 epidemic in India using SIR model, flatten curve and herd immunity
M Venkatasen, SK Mathivanan, P Jayagopal… - Journal of ambient …, 2020 - Springer
In this paper, we are presenting an epidemiological model for exploring the transmission of
outbreaks caused by viral infections. Mathematics and statistics are still at the cutting edge of …
outbreaks caused by viral infections. Mathematics and statistics are still at the cutting edge of …
How optimistic do citizens feel about digital contact tracing?–Perspectives from developing countries
P SV, R Ittamalla, D Subramanian - International Journal of Pervasive …, 2022 - emerald.com
Purpose Despite numerous positive aspects of digital contact tracing, the implied nature of
contact tracing is still viewed with skepticism. Those in favor of contact tracing often …
contact tracing is still viewed with skepticism. Those in favor of contact tracing often …
Prescreening and triage of COVID-19 patients through chest X-ray images using deep learning model
S Rajendran, RK Panneerselvam, PJ Kumar… - Big Data, 2023 - liebertpub.com
Deep learning models deliver a fast diagnosis during triage prescreening for COVID-19
patients, reducing waiting time for hospital admission during health emergency scenarios …
patients, reducing waiting time for hospital admission during health emergency scenarios …