Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm

G Krishnan, S Singh, M Pathania, S Gosavi… - Frontiers in artificial …, 2023 - frontiersin.org
As the demand for quality healthcare increases, healthcare systems worldwide are
grappling with time constraints and excessive workloads, which can compromise the quality …

Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review

C Comito, C Pizzuti - Artificial intelligence in medicine, 2022 - Elsevier
The outbreak of novel corona virus 2019 (COVID-19) has been treated as a public health
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …

Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study

S Shastri, K Singh, S Kumar, P Kour… - Chaos, Solitons & Fractals, 2020 - Elsevier
Covid-19 is a highly contagious virus which almost freezes the world along with its economy.
Its ability of human-to-human and surface-to-human transmission turns the world into …

Machine learning-based prediction and augmentation of dish solar distiller performance using an innovative convex stepped absorber and phase change material …

A Bamasag, FA Essa, ZM Omara, E Bahgat… - Process Safety and …, 2022 - Elsevier
As well known, the solar distiller is one of the introduced solutions to the freshwater shortage
problem, but it is demerited by the low freshwater output. In this paper, a design modification …

Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

Deep learning-based multistep ahead wind speed and power generation forecasting using direct method

M Yaghoubirad, N Azizi, M Farajollahi… - Energy Conversion and …, 2023 - Elsevier
Long-term effective and accurate wind power potential prediction, especially for wind farms,
facilitates planning for the sustainable development of renewable energy. Accurate wind …

Utilization of LSTM neural network for water production forecasting of a stepped solar still with a corrugated absorber plate

AH Elsheikh, VP Katekar, OL Muskens… - Process Safety and …, 2021 - Elsevier
This study introduces a long short-term memory (LSTM) neural network model to forecast the
freshwater yield of a stepped solar still and a conventional one. The stepped solar still was …

Deep learning via LSTM models for COVID-19 infection forecasting in India

R Chandra, A Jain, D Singh Chauhan - PloS one, 2022 - journals.plos.org
The COVID-19 pandemic continues to have major impact to health and medical
infrastructure, economy, and agriculture. Prominent computational and mathematical models …

[HTML][HTML] The effectiveness of Russian government policy to support smes in the COVID-19 pandemic

E Razumovskaia, L Yuzvovich, E Kniazeva… - Journal of Open …, 2020 - Elsevier
This study was aimed at develo** a cognitive—econometric model for assessing the
effectiveness of the current governmental policies to support enterprises in Russia in the …

Boosting COVID-19 image classification using MobileNetV3 and aquila optimizer algorithm

M Abd Elaziz, A Dahou, NA Alsaleh, AH Elsheikh… - Entropy, 2021 - mdpi.com
Currently, the world is still facing a COVID-19 (coronavirus disease 2019) classified as a
highly infectious disease due to its rapid spreading. The shortage of X-ray machines may …