Intelligent computing on time-series data analysis and prediction of COVID-19 pandemics
Covid-19 disease caused by novel coronavirus (SARS-CoV-2) is a highly contagious
epidemic that originated in Wuhan, Hubei Province of China in late December 2019. World …
epidemic that originated in Wuhan, Hubei Province of China in late December 2019. World …
BIFM: Big-data driven intelligent forecasting model for COVID-19
Ever since the pandemic of Coronavirus disease (COVID-19) emerged in Wuhan, China, it
has been recognized as a global threat and several studies have been carried out nationally …
has been recognized as a global threat and several studies have been carried out nationally …
Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques
PJ García-Nieto, E Garcia-Gonzalo… - Neural Computing and …, 2021 - Springer
This study builds a predictive model capable of estimating the critical temperature of a
superconductor from experimentally determined physico-chemical properties of the material …
superconductor from experimentally determined physico-chemical properties of the material …
Enhanced evolutionary feature selection and ensemble method for cardiovascular disease prediction
Cardiovascular Disease (CVD) is one among the main factors for the increase in mortality
rate worldwide. The analysis and prediction of this disease is yet a highly formidable task in …
rate worldwide. The analysis and prediction of this disease is yet a highly formidable task in …
Modified sparse regression to solve heterogeneity and hybrid models for increasing the prediction accuracy of seaweed big data with outliers
The linear regression is critical for data modelling, especially for scientists. Nevertheless,
with the plenty of high-dimensional data, there are data with more explanatory variables …
with the plenty of high-dimensional data, there are data with more explanatory variables …
A comparative assessment of six machine learning models for prediction of bending force in hot strip rolling process
X Li, F Luan, Y Wu - Metals, 2020 - mdpi.com
In the hot strip rolling (HSR) process, accurate prediction of bending force can improve the
control accuracy of the strip crown and flatness, and further improve the strip shape quality …
control accuracy of the strip crown and flatness, and further improve the strip shape quality …
Indoor temperature prediction in an IoT scenario
One of the hottest topics being researched in the field of IoT relates to making connected
devices smarter, by locally computing relevant information and integrating data coming from …
devices smarter, by locally computing relevant information and integrating data coming from …
Predicting mechanical properties of self-healing concrete with Trichoderma Reesei Fungus using machine learning
Trichoderma Reesei is a mesophilic and filamentous fungus. It is an anamorph of the fungus
Hypocrea jecorina, in addition, T. reesei can secrete large amounts of cellulolytic enzymes …
Hypocrea jecorina, in addition, T. reesei can secrete large amounts of cellulolytic enzymes …
[PDF][PDF] Big Data Analytics Using Swarm-Based Long Short-Term Memory for Temperature Forecasting.
In the past few decades, climatic changes led by environmental pollution, the emittance of
greenhouse gases, and the emergence of brown energy utilization have led to global …
greenhouse gases, and the emergence of brown energy utilization have led to global …
Elevating thermal comfort with eco-friendly concrete roof tiles crafted from municipal solid waste
M Poyyamozhi, B Murugesan, S Perumal… - Journal of Building …, 2024 - Elsevier
Develo** eco-friendly construction materials is imperative from an energy and
environmental standpoint. This technical study investigates the sustainable utilization of …
environmental standpoint. This technical study investigates the sustainable utilization of …