Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review
S Lalmuanawma, J Hussain, L Chhakchhuak - Chaos, Solitons & Fractals, 2020 - Elsevier
Background and objective During the recent global urgency, scientists, clinicians, and
healthcare experts around the globe keep on searching for a new technology to support in …
healthcare experts around the globe keep on searching for a new technology to support in …
COVID-19 in the age of artificial intelligence: a comprehensive review
The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China,
has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 …
has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 …
[HTML][HTML] Comparative study of machine learning methods for COVID-19 transmission forecasting
Within the recent pandemic, scientists and clinicians are engaged in seeking new
technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning …
technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning …
Ladybug Beetle Optimization algorithm: application for real-world problems
S Safiri, A Nikoofard - The Journal of Supercomputing, 2023 - Springer
In this paper, a novel optimization algorithm is proposed, called the Ladybug Beetle
Optimization (LBO) algorithm, which is inspired by the behavior of ladybugs in nature when …
Optimization (LBO) algorithm, which is inspired by the behavior of ladybugs in nature when …
Determining causal relationships in leadership research using Machine Learning: The powerful synergy of experiments and data science
Abstract Machine Learning (ML) techniques offer exciting new avenues for leadership
research. In this paper we discuss how ML techniques can be used to inform predictive and …
research. In this paper we discuss how ML techniques can be used to inform predictive and …
Leveraging brain modularity prior for interpretable representation learning of fMRI
Resting-state functional magnetic resonance imaging (rs-fMRI) can reflect spontaneous
neural activities in the brain and is widely used for brain disorder analysis. Previous studies …
neural activities in the brain and is widely used for brain disorder analysis. Previous studies …
Classification of schizophrenia from functional MRI using large-scale extended Granger causality
A Wismüller, MA Vosoughi - Medical Imaging 2021: Computer …, 2021 - spiedigitallibrary.org
The literature manifests that schizophrenia is associated with alterations in brain network
connectivity. We investigate whether large-scale Extended Granger Causality (lsXGC) can …
connectivity. We investigate whether large-scale Extended Granger Causality (lsXGC) can …
Large-scale kernelized granger causality (lskgc) for inferring topology of directed graphs in brain networks
MA Vosoughi, A Wismüller - Medical Imaging 2022 …, 2022 - spiedigitallibrary.org
Graph topology inference in networks with co-evolving and interacting time-series is crucial
for network studies. Vector autoregressive models (VAR) are popular approaches for …
for network studies. Vector autoregressive models (VAR) are popular approaches for …
Deep learning-based drug screening for covid-19 and case studies
Abstract Coronavirus infectious disease (COVID-19), caused by deadly severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), has been declared as a pandemic by …
respiratory syndrome coronavirus 2 (SARS-CoV-2), has been declared as a pandemic by …
Large-scale extended granger causality for classification of marijuana users from functional mri
MA Vosoughi, A Wismüller - Medical Imaging 2021 …, 2021 - spiedigitallibrary.org
It has been shown in the literature that marijuana use is associated with changes in brain
network connectivity. We investigate whether large-scale Extended Granger Causality …
network connectivity. We investigate whether large-scale Extended Granger Causality …