Combat COVID-19 infodemic using explainable natural language processing models
Misinformation of COVID-19 is prevalent on social media as the pandemic unfolds, and the
associated risks are extremely high. Thus, it is critical to detect and combat such …
associated risks are extremely high. Thus, it is critical to detect and combat such …
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets
The Coronavirus pandemic caused by the novel SARS-CoV-2 has significantly impacted
human health and the economy, especially in countries struggling with financial resources …
human health and the economy, especially in countries struggling with financial resources …
Multiwave covid-19 prediction from social awareness using web search and mobility data
Recurring outbreaks of COVID-19 have posed enduring effects on global society, which
calls for a predictor of pandemic waves using various data with early availability. Existing …
calls for a predictor of pandemic waves using various data with early availability. Existing …
An Autonomous Driving System-Dedicated Vehicle for People with ASD and their Caregivers
G Padmanaban, NP Jachim, H Shandi… - … on Automotive User …, 2021 - dl.acm.org
Automated driving system-dedicated vehicles (ADS-DVs), specially designed for people with
various disabilities, can be beneficial to improve their mobility. However, research related to …
various disabilities, can be beneficial to improve their mobility. However, research related to …
Logistic regression based on bat-inspired algorithm with Gaussian initialization
K Zhou, W Nai, S Zhu, S Zhang, Y Xing… - 2021 IEEE 5th …, 2021 - ieeexplore.ieee.org
Logistic regression is a supervised statistical learning method in the field of statistics and
machine learning nowadays. The core idea of traditional logistic regression algorithm is to …
machine learning nowadays. The core idea of traditional logistic regression algorithm is to …
Analysis of the main factors affecting the number of COVID-19 deaths
A Liu, OY Lau, Y Wu - 2nd International Conference on …, 2022 - spiedigitallibrary.org
This paper focuses on the main factors affecting the number of COVID-19 deaths. By
correlation analysis, the number of people vaccinated and the number of infection cases are …
correlation analysis, the number of people vaccinated and the number of infection cases are …
Multiwave COVID-19 Prediction via Social Awareness-Based Graph Neural Networks using Mobility and Web Search Data
Recurring outbreaks of COVID-19 have posed enduring effects on global society, which
calls for a predictor of pandemic waves using various data with early availability. Existing …
calls for a predictor of pandemic waves using various data with early availability. Existing …
Analysis of Symptoms and Demographic Characteristics in Diagnosis of COVID-19 by Logistic Regression Model
C Tanış - Selçuk Üniversitesi Fen Fakültesi Fen Dergisi, 2023 - dergipark.org.tr
The new coronavirus COVID-19 is an infectious disease that started spreading globally in
December 2019. Some symptoms are known to give clues as to whether the COVID-19 virus …
December 2019. Some symptoms are known to give clues as to whether the COVID-19 virus …
[PDF][PDF] CLASSIFICATION OF COVID-19 MISINFORMATION: A Novel Transfer Learning Framework for the Detection of
S Wallgren, JAA Nilsson - 2022 - research.cbs.dk
As governments around the world struggled to mitigate the spread of COVID-19, their efforts
were undermined by the online propagation of virus misinformation, or false facts. Social …
were undermined by the online propagation of virus misinformation, or false facts. Social …
[HTML][HTML] State capacity and public health cooperation networks in controlling the COVID-19 pandemic
If before COVID-19 the state's capacity to provide access and care to public services was
already questionable in terms of effectiveness, with the rapidity of spread, contagion, and …
already questionable in terms of effectiveness, with the rapidity of spread, contagion, and …