Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces

M Irfan, M Ikram, M Ahmad, H Wu, Y Hao - Environmental Science and …, 2021 - Springer
The outbreak of novel coronavirus (COVID-19) has become a global concern that is
deteriorating environmental quality and damaging human health. Though some researchers …

Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study

N Melek Manshouri - Cognitive neurodynamics, 2022 - Springer
Sound signals from the respiratory system are largely taken as tokens of human health.
Early diagnosis of respiratory tract diseases is of great importance because, if delayed, it …

Reviewing methods of deep learning for intelligent healthcare systems in genomics and biomedicine

I Zafar, S Anwar, W Yousaf, FU Nisa, T Kausar… - … Signal Processing and …, 2023 - Elsevier
The advancements in genomics and biomedical technologies have generated vast amounts
of biological and physiological data, which present opportunities for understanding human …

Intelligent system for COVID-19 prognosis: A state-of-the-art survey

J Nayak, B Naik, P Dinesh, K Vakula, BK Rao… - Applied …, 2021 - Springer
This 21st century is notable for experiencing so many disturbances at economic, social,
cultural, and political levels in the entire world. The outbreak of novel corona virus 2019 …

[HTML][HTML] Creating and applying SIR modified compartmental model for calculation of COVID-19 lockdown efficiency

KS Sharov - Chaos, Solitons & Fractals, 2020 - Elsevier
Abstract We propose a Susceptible–Infected–Recovered (SIR) modified model for
Coronavirus disease–2019 (COVID-19) spread to estimate the efficacy of lockdown …

Supervised learning models for the preliminary detection of COVID-19 in patients using demographic and epidemiological parameters

A Pradhan, S Prabhu, K Chadaga, S Sengupta, G Nath - Information, 2022 - mdpi.com
The World Health Organization labelled the new COVID-19 breakout a public health crisis of
worldwide concern on 30 January 2020, and it was named the new global pandemic in …

CovFrameNet: An enhanced deep learning framework for COVID-19 detection

ON Oyelade, AES Ezugwu, H Chiroma - Ieee Access, 2021 - ieeexplore.ieee.org
The novel coronavirus, also known as COVID-19, is a pandemic that has weighed heavily
on the socio-economic affairs of the world. Research into the production of relevant vaccines …

Sensitivity Analysis by the PROMETHEE-GAIA method: Algorithms evaluation for COVID-19 prediction

MÂL Moreira, CFS Gomes, M Dos Santos… - Procedia Computer …, 2022 - Elsevier
With the expansion of coronavirus in the World, the search for technology solutions based
on the analysis and prospecting of diseases has become constant. The paper addresses a …

Trends, technologies, and key challenges in smart and connected healthcare

AN Navaz, MA Serhani, HT El Kassabi, N Al-Qirim… - Ieee …, 2021 - ieeexplore.ieee.org
Cardio Vascular Diseases (CVD) is the leading cause of death globally and is increasing at
an alarming rate, according to the American Heart Association's Heart Attack and Stroke …

[HTML][HTML] Stock price predictive analysis: An application of hybrid barnacles mating optimizer with artificial neural network

Z Mustaffa, MH Sulaiman - International Journal of Cognitive Computing in …, 2023 - Elsevier
Abstract Artificial Neural Network (ANN) is an effective machine learning technique for
addressing regression tasks. Nonetheless, the performance of ANN is highly dependent on …