Analysis and prediction of novel coronavirus pneumonia epidemic using hybrid response surface method with time-series and random forest
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Analysis and prediction of novel coronavirus pneumonia epidemic using hybrid response surface method with time-series and random forest
Authors
Keywords
-
Journal
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Volume -, Issue -, Pages 1-20
Publisher
IOS Press
Online
2023-11-04
DOI
10.3233/jifs-231588
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Benchmarking of Machine Learning classifiers on plasma proteomic for COVID-19 severity prediction through interpretable artificial intelligence
- (2023) Stella Dimitsaki et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Automatic COVID-19 prediction using explainable machine learning techniques
- (2023) Sanzida Solayman et al. International Journal of Cognitive Computing in Engineering
- RF conditioning to suppress multipactor discharge for helicon wave current drive in KSTAR
- (2023) H.Y. Lee et al. FUSION ENGINEERING AND DESIGN
- A random forest model for forecasting regional COVID-19 cases utilizing reproduction number estimates and demographic data
- (2022) Joseph Galasso et al. CHAOS SOLITONS & FRACTALS
- Robust State of Health estimation of lithium-ion batteries using convolutional neural network and random forest
- (2022) Niankai Yang et al. Journal of Energy Storage
- Study on betel nut fiber enhancing water stability of asphalt mixture based on response surface method
- (2022) Zhijie Tang et al. Case Studies in Construction Materials
- The Intermittent Fault Diagnosis of Analog Circuits Based on EEMD-DBN
- (2021) Ting Zhong et al. NEUROCOMPUTING
- Random forest regression analysis on combined role of meteorological indicators in disease dissemination in an Indian city: A case study of New Delhi
- (2021) Ramya Hariharan Urban Climate
- Energy efficiency state identification of milling processing based on EEMD-PCA-ICA
- (2021) Jianjian Yuan et al. MEASUREMENT
- COVID-19 Prevalence Forecasting using Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN): Case of Turkey
- (2021) Gülhan Toğa et al. Journal of Infection and Public Health
- Short-term wind power prediction based on EEMD–LASSO–QRNN model
- (2021) Yaoyao He et al. APPLIED SOFT COMPUTING
- A fractional-order differential equation model of COVID-19 infection of epithelial cells
- (2021) Amar Nath Chatterjee et al. CHAOS SOLITONS & FRACTALS
- A network traffic forecasting method based on SA optimized ARIMA–BP neural network
- (2021) Hanyu Yang et al. Computer Networks
- An improved SIR model describing the epidemic dynamics of the COVID-19 in China
- (2021) Wen-jing Zhu et al. Results in Physics
- Predicting load capacity of shear walls using SVR–RSM model
- (2021) Behrooz Keshtegar et al. APPLIED SOFT COMPUTING
- Nonlinear growth and mathematical modelling of COVID-19 in some African countries with the Atangana–Baleanu fractional derivative
- (2021) O.T. Kolebaje et al. Communications in Nonlinear Science and Numerical Simulation
- Integro-differential approach for modeling the COVID-19 dynamics - Impact of confinement measures in Italy
- (2021) Francesco Salvadore et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A hybrid RSM-ANN-GA approach on optimisation of extraction conditions for bioactive component-rich laver (Porphyra dentata) extract
- (2021) Thinzar Aung et al. FOOD CHEMISTRY
- Research on test bench bearing fault diagnosis of improved EEMD based on improved adaptive resonance technology
- (2021) Hua Li et al. MEASUREMENT
- Discovering optimal strategies for mitigating COVID-19 spread using machine learning: Experience from Asia
- (2021) Yue Pan et al. Sustainable Cities and Society
- Application of machine learning in the prediction of COVID-19 daily new cases: A scoping review
- (2021) Soudeh Ghafouri-Fard et al. Heliyon
- Multiscale financial risk contagion between international stock markets: Evidence from EMD-Copula-CoVaR analysis
- (2021) Changqing Luo et al. North American Journal of Economics and Finance
- Statistical modeling and optimization of itaconic acid reactive extraction using response surface methodology (RSM) and artificial neural network (ANN)
- (2021) Suchith Chellapan et al. Chemical Data Collections
- Time series analysis and predicting COVID-19 affected patients by ARIMA model using machine learning
- (2021) Fuad Ahmed Chyon et al. JOURNAL OF VIROLOGICAL METHODS
- Disagreement-based class incremental random forest for sensor-based activity recognition
- (2021) Chunyu Hu et al. KNOWLEDGE-BASED SYSTEMS
- Convergent movement of COVID-19 outbreak in Japan based on SIR model
- (2021) Hiroaki Masuhara et al. Economic Analysis and Policy
- Well production forecasting based on ARIMA-LSTM model considering manual operations
- (2020) Dongyan Fan et al. ENERGY
- Multidimensional KNN algorithm based on EEMD and complexity measures in financial time series forecasting
- (2020) Guancen Lin et al. EXPERT SYSTEMS WITH APPLICATIONS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started