[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 …

Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey

S Zaman, K Alhazmi, MA Aseeri, MR Ahmed… - Ieee …, 2021 - ieeexplore.ieee.org
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 …

Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays

A Paul, A Basu, M Mahmud, MS Kaiser… - Neural Computing and …, 2023 - Springer
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 …

ACCU3RATE: A mobile health application rating scale based on user reviews

M Biswas, MH Tania, MS Kaiser, R Kabir, M Mahmud… - PloS one, 2021 - journals.plos.org
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 …

[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 …

COVID-19 infection detection from chest X-ray images using hybrid social group optimization and support vector classifier

AK Singh, A Kumar, M Mahmud, MS Kaiser… - Cognitive …, 2021 - Springer
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 …

[HTML][HTML] Diagnosis of COVID-19 from X-rays using combined CNN-RNN architecture with transfer learning

MM Islam, MZ Islam, A Asraf, MS Al-Rakhami… - BenchCouncil …, 2022 - Elsevier
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 …

Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmap

S Kumar, R Viral, V Deep, P Sharma, M Kumar… - Personal and Ubiquitous …, 2023 - Springer
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 …

Attention-based bi-directional long-short term memory network for earthquake prediction

MH Al Banna, T Ghosh, MJ Al Nahian, KA Taher… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Application of mathematical modeling in prediction of COVID-19 transmission dynamics

A AlArjani, MT Nasseef, SM Kamal, BVS Rao… - Arabian Journal for …, 2022 - Springer
The entire world has been affected by the outbreak of COVID-19 since early 2020. Human
carriers are largely the spreaders of this new disease, and it spreads much faster compared …