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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 …
grappling with time constraints and excessive workloads, which can compromise the quality …
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
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 …
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
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 …
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 …
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 …
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 …
(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
Long-term effective and accurate wind power potential prediction, especially for wind farms,
facilitates planning for the sustainable development of renewable energy. Accurate wind …
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
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 …
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
The COVID-19 pandemic continues to have major impact to health and medical
infrastructure, economy, and agriculture. Prominent computational and mathematical models …
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 …
effectiveness of the current governmental policies to support enterprises in Russia in the …
Boosting COVID-19 image classification using MobileNetV3 and aquila optimizer algorithm
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 …
highly infectious disease due to its rapid spreading. The shortage of X-ray machines may …