[PDF][PDF] Synergizing AI, IoT, and Blockchain for diagnosing pandemic diseases in Smart Cities: challenges and opportunities

I Alrashdi, A Alqazzaz - Sustainable Machine Intelligence …, 2024 - sciencesforce.com
The advent of smart cities has paved the way for transformative advancements in healthcare,
particularly in the domain of disease diagnosis. In the wake of the COVID-19 pandemic …

COVID-19 Detector Using Deep Learning

MA Shaik, S kumar Koppula… - … on Applied Artificial …, 2022 - ieeexplore.ieee.org
This paper attempt to overcome the existing Covid 19 detection challenge, which aims to
predict whether the tested person is a covid positive or covid negative. This research work …

A robust machine learning predictive model for maternal health risk

L Pawar, J Malhotra, A Sharma… - 2022 3rd international …, 2022 - ieeexplore.ieee.org
Maternal health refers to the physical, mental, and emotional well-being of mothers
throughout all stages of pregnancy, birth, and the postpartum period. Morbidity and death …

Modelling the impact of non-pharmaceutical interventions on the spread of COVID-19 in Saudi Arabia

Y Althobaity, MJ Tildesley - Scientific Reports, 2023 - nature.com
Countries around the world have implemented a series of interventions to contain the
pandemic of coronavirus disease (COVID-19), and significant lessons can be drawn from …

Big data as a service and application for indian banking sector

J Singh, G Singh, M Gahlawat, C Prabha - Procedia Computer Science, 2022 - Elsevier
The financial world, money markets, and the growth of an economy are all powered by
banks. In India's financial sector, where cashless and paperless transactions are expanding …

Arduino based COVID-19 Suspect Detection Device

D Gowda, R Sumodh, D Subramanya… - 2022 6th …, 2022 - ieeexplore.ieee.org
The COVID-19 outbreak has wreaked havoc on civilization and sparked fear across the
globe. COVID-19's apparent deceptiveness may be to blame for the uproar: Transmission …

A promising prediction of diabetes using a deep learning approach

R Shakil, B Akter, F Faisal… - 2022 6th …, 2022 - ieeexplore.ieee.org
Diabetes is a collection of metabolic illnesses caused by a persistently high blood sugar
level. If a reliable estimation is achievable, diabetes risk factors and severity can be reduced …

Systematic analysis of several deep learning approaches for covid-19 detection using x-ray images

R Shakil, B Akter, FMJM Shamrat… - … on Smart Electronics …, 2022 - ieeexplore.ieee.org
COVID-19 is a virus-borne malady. A clinical study of infected COVID-19 patients found that
most COVID-19 patients suffered lung infection after contracting the disease. Consequently …

[HTML][HTML] MAM: Flexible Monte-Carlo Agent based model for modelling COVID-19 spread

H De-Leon, D Aran - Journal of Biomedical Informatics, 2023 - Elsevier
In the three years since SARS-CoV-2 was first detected in China, hundreds of millions of
people have been infected and millions have died. Along with the immediate need for …

Design and Development of Conversational Chatbot for Covid-19 using NLP: an AI application

S Singh, M Kaur, P Tanwar… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Since the discovery of corona virus (nCOV-19), and its subsequent progression into a global
pandemic, an enormous hurdle faced by hospitals and their healthcare staff has been to …