Real-time data of COVID-19 detection with IoT sensor tracking using artificial neural network
The coronavirus pandemic has affected people all over the world and posed a great
challenge to international health systems. To aid early detection of coronavirus disease …
challenge to international health systems. To aid early detection of coronavirus disease …
Decision trees for early prediction of inadequate immune response to coronavirus infections: a pilot study on COVID-19
F Pisano, B Cannas, A Fanni, M Pasella… - Frontiers in …, 2023 - frontiersin.org
Introduction Few artificial intelligence models exist to predict severe forms of COVID-19.
Most rely on post-infection laboratory data, hindering early treatment for high-risk …
Most rely on post-infection laboratory data, hindering early treatment for high-risk …
[PDF][PDF] A novel hybrid metaheuristic optimization search technique: Modern metaheuristic algorithm for function minimization
S Suwannarongsri - … Journal of Innovative Computing, Information and …, 2023 - ijicic.org
This paper proposes a novel hybrid metaheuristic optimization search technique named the
modern metaheuristic algorithm (MoMA) as one of the most powerful hybrid metaheuristic …
modern metaheuristic algorithm (MoMA) as one of the most powerful hybrid metaheuristic …
EEI-IoT: Edge-enabled intelligent IoT framework for early detection of COVID-19 threats
Coronavirus disease 2019 (COVID-19) has caused severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) across the globe, impacting effective diagnosis and treatment …
coronavirus 2 (SARS-CoV-2) across the globe, impacting effective diagnosis and treatment …
Optimal time-dependent SUC model for COVID-19 pandemic in India
In this paper, we propose a numerical algorithm to obtain the optimal epidemic parameters
for a time-dependent Susceptible-Unidentified infected-Confirmed (tSUC) model. The tSUC …
for a time-dependent Susceptible-Unidentified infected-Confirmed (tSUC) model. The tSUC …
Classified COVID-19 by densenet121-based deep transfer learning from CT-scan images
The COVID-19 disease, which has recently emerged and has been considered a worldwide
pandemic, has had a significant impact on the lives of millions of people and has forced a …
pandemic, has had a significant impact on the lives of millions of people and has forced a …
[ΒΙΒΛΙΟ][B] Application of Advanced Optimization Techniques for Healthcare Analytics
M Abdel-Basset, RK Chakrabortty, R Mohamed - 2023 - taylorfrancis.com
Application of Advanced Optimization Techniques for Healthcare Analytics, 1st Edition, is an
excellent compilation of current and advanced optimization techniques which can readily be …
excellent compilation of current and advanced optimization techniques which can readily be …
CLASSIFIED COVID-19 BY DENSENET121-BASED DEEP TRANSFER LEARNING FROM CTSCAN IMAGES.
The COVID-19 disease, which has recently emerged and has been considered a worldwide
pandemic, has had a significant impact on the lives of millions of people and has forced a …
pandemic, has had a significant impact on the lives of millions of people and has forced a …
Metaheuristics and Neutrosophic Sets for COVID-19 Detection: A review study.
The fast spread of COVID-19 has been a problem for several nations since February 2020.
Computeraided diagnostic technologies that are both effective and affordable are urgently …
Computeraided diagnostic technologies that are both effective and affordable are urgently …