Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection
Authors
Keywords
-
Journal
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-09-28
DOI
10.1007/s10489-020-01889-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Pattern of early human-to-human transmission of Wuhan 2019 novel coronavirus (2019-nCoV), December 2019 to January 2020
- (2020) Julien Riou et al. Eurosurveillance
- Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19):A multi-center study in Wenzhou city, Zhejiang, China
- (2020) Wenjie Yang et al. JOURNAL OF INFECTION
- Wuhan seafood market may not be source of novel virus spreading globally
- (2020) Jon Cohen SCIENCE
- Potential Maternal and Infant Outcomes from Coronavirus 2019-nCoV (SARS-CoV-2) Infecting Pregnant Women: Lessons from SARS, MERS, and Other Human Coronavirus Infections
- (2020) David A. Schwartz et al. Viruses-Basel
- Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study
- (2020) Changyu Fan et al. International Journal of Environmental Research and Public Health
- Short-term Forecasts of the COVID-19 Epidemic in Guangdong and Zhejiang, China: February 13–23, 2020
- (2020) Kimberlyn Roosa et al. Journal of Clinical Medicine
- Real-Time Estimation of the Risk of Death from Novel Coronavirus (COVID-19) Infection: Inference Using Exported Cases
- (2020) Sung-mok Jung et al. Journal of Clinical Medicine
- Optimization Method for Forecasting Confirmed Cases of COVID-19 in China
- (2020) Mohammed A. A. Al-qaness et al. Journal of Clinical Medicine
- Risk Assessment of Novel Coronavirus COVID-19 Outbreaks Outside China
- (2020) Péter Boldog et al. Journal of Clinical Medicine
- How to make more from exposure data? An integrated machine learning pipeline to predict pathogen exposure
- (2019) Nicholas M. Fountain‐Jones et al. JOURNAL OF ANIMAL ECOLOGY
- A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis
- (2019) Sabrina Mezzatesta et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning
- (2019) Sumiko Anno et al. Geospatial Health
- Prediction for global African swine fever outbreaks based on a combination of random forest algorithms and meteorological data
- (2019) Ruirui Liang et al. Transboundary and Emerging Diseases
- Development of artificial intelligence approach to forecasting oyster norovirus outbreaks along Gulf of Mexico coast
- (2018) Shima Shamkhali Chenar et al. ENVIRONMENT INTERNATIONAL
- Supervised forecasting of the range expansion of novel non-indigenous organisms: Alien pest organisms and the 2009 H1N1 flu pandemic
- (2018) Fumito Koike et al. GLOBAL ECOLOGY AND BIOGEOGRAPHY
- Remarks on multi-output Gaussian process regression
- (2018) Haitao Liu et al. KNOWLEDGE-BASED SYSTEMS
- Development of genetic programming-based model for predicting oyster norovirus outbreak risks
- (2018) Shima Shamkhali Chenar et al. WATER RESEARCH
- OUP accepted manuscript
- (2018) JOURNAL OF INFECTIOUS DISEASES
- A predictive management tool for blackfly outbreaks on the Orange River, South Africa
- (2018) Nicholas A. Rivers-Moore et al. RIVER RESEARCH AND APPLICATIONS
- Consensus and conflict among ecological forecasts of Zika virus outbreaks in the United States
- (2018) Colin J. Carlson et al. Scientific Reports
- Seasonal difference in temporal transferability of an ecological model: near-term predictions of lemming outbreak abundances
- (2018) Eivind Flittie Kleiven et al. Scientific Reports
- Predicting antigenic variants of H1N1 influenza virus based on epidemics and pandemics using a stacking model
- (2018) Rui Yin et al. PLoS One
- Gaussian process regression for forecasting battery state of health
- (2017) Robert R. Richardson et al. JOURNAL OF POWER SOURCES
- Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis
- (2015) Robert Durichen et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
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 MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now