A CNN-LSTM-based hybrid deep learning approach for sentiment analysis on Monkeypox tweets
The research on sentiment analysis has shown a great deal of utility in the field of public
health, specifically in the investigation of infectious illnesses. As the world begins to …
health, specifically in the investigation of infectious illnesses. As the world begins to …
Exploring in-context learning capabilities of foundation models for generating knowledge graphs from text
H Khorashadizadeh, N Mihindukulasooriya… - arXiv preprint arXiv …, 2023 - arxiv.org
Knowledge graphs can represent information about the real-world using entities and their
relations in a structured and semantically rich manner and they enable a variety of …
relations in a structured and semantically rich manner and they enable a variety of …
Text mining method to unravel long COVID's clinical condition in hospitalized patients
PT Veras Florentino, VO Araújo, H Zatti, CV Luis… - Cell Death & …, 2024 - nature.com
Long COVID is characterized by persistent that extends symptoms beyond established
timeframes. Its varied presentation across different populations and healthcare systems …
timeframes. Its varied presentation across different populations and healthcare systems …
Social acceptance of artificial intelligence (AI) application for improving medical service diagnostics
The aim of the conducted research was to assess the attitude of the Polish society towards
the use of artificial intelligence in medical diagnostics. In the research process, we sought …
the use of artificial intelligence in medical diagnostics. In the research process, we sought …
[PDF][PDF] Analysis of SEIR-type models used at the beginning of COVID-19 pandemic reported in high-impact journals
The Susceptible-Exposed-Infected-Recovered (SEIR) mathematical-epidemiological model
has been exhaustively used since de beggining of the COVID-19 pandemic. These models …
has been exhaustively used since de beggining of the COVID-19 pandemic. These models …
Short analysis of the impact of covid-19 ontologies
During the COVID-19 pandemic, researchers started to develop technical approaches to
solve the numerous challenges imposed by the new pandemic. One fundamental …
solve the numerous challenges imposed by the new pandemic. One fundamental …
Contributions to the 6th Workshop on Very Large Internet of Things (VLIoT 2022)
S Groppe, S Tiwari, S Yu - Open Journal of Internet Of Things (OJIOT), 2022 - ronpub.com
The concept of the Internet of Things, where small things become available in the Internet
and get connected with each other for the purpose of advanced applications, raises many …
and get connected with each other for the purpose of advanced applications, raises many …
Third International Workshop on Big Data in Emergent Distributed Environments (BiDEDE)
The Third International Workshop on Big Data in Emergent Distributed Environments
(BiDEDE) is centered around addressing scalable data management issues in emerging …
(BiDEDE) is centered around addressing scalable data management issues in emerging …
BiDEDE'22: Second International Workshop on Big Data in Emergent Distributed Environments
The Second International Workshop on Big Data in Emergent Distributed Environments
(BiDEDE) focuses on scalable data management issues in emergent computing …
(BiDEDE) focuses on scalable data management issues in emergent computing …
Renewal of the Major Fields of New-Generation Computing
S Groppe - New Generation Computing, 2023 - Springer
The COVID-19 pandemic was the first pandemic with an enormously dramatic global impact
after the world went digital. Never before we got so much data about a disease in such a …
after the world went digital. Never before we got so much data about a disease in such a …