[HTML][HTML] Industry 4.0 in Healthcare: A systematic review
MM Ahsan, Z Siddique - … Journal of Information Management Data Insights, 2022 - Elsevier
Healthcare 4.0 has changed dramatically over the last century. It is evolving daily, with
physicians and researchers alike developing new tools and strategies. This study analyzes …
physicians and researchers alike developing new tools and strategies. This study analyzes …
Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey
The Internet of Things (IoT) has emerged as a technology capable of connecting
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
[HTML][HTML] Automatic COVID-19 prediction using explainable machine learning techniques
S Solayman, SA Aumi, CS Mery, M Mubassir… - International Journal of …, 2023 - Elsevier
The coronavirus is considered this century's most disruptive catastrophe and global concern.
This disease has prompted extreme social, psychological and economic impacts affecting …
This disease has prompted extreme social, psychological and economic impacts affecting …
[HTML][HTML] ACCU3RATE: A mobile health application rating scale based on user reviews
Background Over the last decade, mobile health applications (mHealth App) have evolved
exponentially to assess and support our health and well-being. Objective This paper …
exponentially to assess and support our health and well-being. Objective This paper …
[HTML][HTML] Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays
Novel Coronavirus 2019 disease or COVID-19 is a viral disease caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2). The use of chest X-rays (CXRs) has …
respiratory syndrome coronavirus 2 (SARS-CoV-2). The use of chest X-rays (CXRs) has …
[HTML][HTML] Diagnosis of COVID-19 from X-rays using combined CNN-RNN architecture with transfer learning
Combating the COVID-19 pandemic has emerged as one of the most promising issues in
global healthcare. Accurate and fast diagnosis of COVID-19 cases is required for the right …
global healthcare. Accurate and fast diagnosis of COVID-19 cases is required for the right …
[HTML][HTML] COVID-19 infection detection from chest X-ray images using hybrid social group optimization and support vector classifier
A novel strain of Coronavirus, identified as the Severe Acute Respiratory Syndrome-2
(SARS-CoV-2), outbroke in December 2019 causing the novel Corona Virus Disease …
(SARS-CoV-2), outbroke in December 2019 causing the novel Corona Virus Disease …
[HTML][HTML] Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmap
The pandemic caused by the coronavirus disease 2019 (COVID-19) has produced a global
health calamity that has a profound impact on the way of perceiving the world and everyday …
health calamity that has a profound impact on the way of perceiving the world and everyday …
Artificial intelligence and machine learning for ensuring security in smart cities
The smart city emerged as a model with the rapid growth of robust information and
communication technology and the development of ubiquitous sensing technology. A smart …
communication technology and the development of ubiquitous sensing technology. A smart …
Attention-based bi-directional long-short term memory network for earthquake prediction
An earthquake is a tremor felt on the surface of the earth created by the movement of the
major pieces of its outer shell. Till now, many attempts have been made to forecast …
major pieces of its outer shell. Till now, many attempts have been made to forecast …