[HTML][HTML] Generative adversarial network: An overview of theory and applications

A Aggarwal, M Mittal, G Battineni - International Journal of Information …, 2021 - Elsevier
In recent times, image segmentation has been involving everywhere including disease
diagnosis to autonomous vehicle driving. In computer vision, this image segmentation is one …

Sentimental analysis of COVID-19 tweets using deep learning models

N Chintalapudi, G Battineni, F Amenta - Infectious disease reports, 2021 - mdpi.com
The novel coronavirus disease (COVID-19) is an ongoing pandemic with large global
attention. However, spreading false news on social media sites like Twitter is creating …

[HTML][HTML] Estimating the prevalence of stress among Indian students during the COVID-19 pandemic: A cross-sectional study from India

B Chhetri, LM Goyal, M Mittal, G Battineni - Journal of Taibah University …, 2021 - Elsevier
Abstract Objective Since December 2019, the COVID-19 pandemic has posed a substantial
threat with its associated high mortality, infection, and risk of psychological stress. A large …

Google trend analysis and paradigm shift of online education platforms during the COVID-19 pandemic

AK Kansal, J Gautam, N Chintalapudi, S Jain… - Infectious Disease …, 2021 - mdpi.com
Objective: The largest pandemic in history, the COVID-19 pandemic, has been declared a
doomsday globally. The second wave spreading worldwide has devastating consequences …

Deep-LSTM ensemble framework to forecast Covid-19: an insight to the global pandemic

S Shastri, K Singh, S Kumar, P Kour… - International Journal of …, 2021 - Springer
Abstract The pandemic of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-
2) is spreading all over the world. Medical health care systems are in urgent need to …

A cross-sectional study of anxiety, stress, perception and mental health towards online learning of school children in India during COVID-19

P Harjule, A Rahman, B Agarwal - Journal of Interdisciplinary …, 2021 - Taylor & Francis
The unprecedented outbreak of coronavirus disease has been spread across the world,
affecting the lifestyle of the people. It has significantly changed the way of global education …

Forecasting of COVID-19 epidemic size in four high hitting nations (USA, Brazil, India and Russia) by Fb-Prophet machine learning model

G Battineni, N Chintalapudi, F Amenta - Applied Computing and …, 2020 - emerald.com
Purpose As of July 30, 2020, more than 17 million novel coronavirus disease 2019 (COVID-
19) cases were registered including 671,500 deaths. Yet, there is no immediate medicine or …

The role of the Internet of Things in Healthcare in supporting clinicians and patients: A narrative review

R Lederman, O Ben-Assuli, TH Vo - Health Policy and Technology, 2021 - Elsevier
Purpose This narrative review surveys the literature on the Internet of Things (IoT) in
healthcare, organising it according to dominant trends to provide instructive examples of …

[HTML][HTML] An investigation of novel features for predicting student happiness in hybrid learning platforms–An exploration using experiments on trace data

C Verma, Z Illés, D Kumar - International Journal of Information …, 2024 - Elsevier
The current study investigated the novel factors influencing informatics students' happiness
and satisfaction using statistical and machine learning algorithms. A statistical t–test proved …

Factors affecting digital education during COVID-19: A statistical modeling approach

M Arora, LM Goyal, N Chintalapudi… - 2020 5th International …, 2020 - ieeexplore.ieee.org
Worldwide governments have decided to temporarily closures of educational institutions in
an attempt to minimize the spread of the COVID-19 Pandemic, which has forged significant …