[HTML][HTML] A predictive analytics model for COVID-19 pandemic using artificial neural networks
The COVID-19 pandemic spread rapidly around the world and is currently one of the most
leading causes of death and heath disaster in the world. Turkey, like most of the countries …
leading causes of death and heath disaster in the world. Turkey, like most of the countries …
A bidirectional long short-term memory model algorithm for predicting COVID-19 in gulf countries
THH Aldhyani, H Alkahtani - Life, 2021 - mdpi.com
Accurate prediction models have become the first goal for aiding pandemic-related
decisions. Modeling and predicting the number of new active cases and deaths are …
decisions. Modeling and predicting the number of new active cases and deaths are …
A case study of monkeypox disease in the United States using mathematical modeling with real data
In this article, we propose the mathematical modeling of monkeypox, a viral zoonotic
disease, to study its near outbreaks in the United States. We use integer and fractional …
disease, to study its near outbreaks in the United States. We use integer and fractional …
An integrated deep learning and belief rule-based expert system for visual sentiment analysis under uncertainty
Visual sentiment analysis has become more popular than textual ones in various domains
for decision-making purposes. On account of this, we develop a visual sentiment analysis …
for decision-making purposes. On account of this, we develop a visual sentiment analysis …
[HTML][HTML] Production-sharing of critical resources with dynamic demand under pandemic situation: The COVID-19 pandemic
The COVID-19 virus's high transmissibility has resulted in the virus's rapid spread
throughout the world, which has brought several repercussions, ranging from a lack of …
throughout the world, which has brought several repercussions, ranging from a lack of …
[PDF][PDF] Explainable Text Classification Model for COVID-19 Fake News Detection.
Artificial intelligence has achieved notable advances across many applications, and the field
is recently concerned with developing novel methods to explain machine learning models …
is recently concerned with developing novel methods to explain machine learning models …
[HTML][HTML] Optimized numerical solutions of SIRDVW multiage model controlling SARS-CoV-2 vaccine roll out: An application to the Italian scenario
In the context of SARS-CoV-2 pandemic, mathematical modelling has played a fundamental
role for making forecasts, simulating scenarios and evaluating the impact of preventive …
role for making forecasts, simulating scenarios and evaluating the impact of preventive …
[PDF][PDF] Estimating the time-dependent effective reproduction number and vaccination rate for COVID-19 in the USA and India
S Bugalia, JP Tripathi, H Wang - Math. Biosci. Eng, 2023 - aimspress.com
The effective reproduction number, Rt, is a vital epidemic parameter utilized to judge
whether an epidemic is shrinking, growing, or holding steady. The main goal of this paper is …
whether an epidemic is shrinking, growing, or holding steady. The main goal of this paper is …
[HTML][HTML] A COVID-19 vaccine effectiveness model using the susceptible-exposed-infectious-recovered model
S Saharan, C Tee - Healthcare Analytics, 2023 - Elsevier
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) caused the start
of the COVID-19 outbreak in the world, including Malaysia and Thailand. This study …
of the COVID-19 outbreak in the world, including Malaysia and Thailand. This study …
The practicality of deep learning algorithms in COVID-19 detection: application to chest X-ray images
A Alorf - Algorithms, 2021 - mdpi.com
Since January 2020, the outbreak of severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) has affected the whole world, producing a respiratory disease that can …
(SARS-CoV-2) has affected the whole world, producing a respiratory disease that can …