COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach

Identification of COVID-19 Can be Quicker through Artificial Intelligence framework using a Mobile Phone-Based Survey in the Populations when Cities/Towns Are Under Quarantine

(2020) Arni S.R. Srinivasa Rao et al.   INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY

A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster

(2020) Jasper Fuk-Woo Chan et al.   LANCET

The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2

(2020)   Nature Microbiology

Critical Care Utilization for the COVID-19 Outbreak in Lombardy, Italy

(2020) Giacomo Grasselli et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data

(2020) K. C. Santosh   JOURNAL OF MEDICAL SYSTEMS

COVID-19 and Italy: what next?

(2020) Andrea Remuzzi et al.   LANCET

Artificial intelligence and machine learning to fight COVID-19

(2020) Ahmad Alimadadi et al.   PHYSIOLOGICAL GENOMICS

Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study

(2020) Gurjit S. Randhawa et al.   PLoS One

Forecasting shear stress parameters in rectangular channels using new soft computing methods

(2020) Zohreh Sheikh Khozani et al.   PLoS One

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

(2020) Dmitry Ivanov   TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW

Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions

(2020) Zifeng Yang et al.   Journal of Thoracic Disease

Real-Time Forecasting of Hand-Foot-and-Mouth Disease Outbreaks using the Integrating Compartment Model and Assimilation Filtering

(2019) Zhicheng Zhan et al.   Scientific Reports

On the predictability of infectious disease outbreaks

(2019) Samuel V. Scarpino et al.   Nature Communications

Prediction of dengue outbreaks based on disease surveillance, meteorological and socio-economic data

(2019) Raghvendra Jain et al.   BMC INFECTIOUS DISEASES

An imperialist competitive algorithm with memory for distributed unrelated parallel machines scheduling

(2019) Deming Lei et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Inter-outbreak stability reflects the size of the susceptible pool and forecasts magnitudes of seasonal epidemics

(2019) Martin Rypdal et al.   Nature Communications

Real-time prediction of influenza outbreaks in Belgium

(2019) Gisele H.B. Miranda et al.   Epidemics

Simple framework for real-time forecast in a data-limited situation: the Zika virus (ZIKV) outbreaks in Brazil from 2015 to 2016 as an example

(2019) Shi Zhao et al.   Parasites & Vectors

Real-time predictions of the 2018–2019 Ebola virus disease outbreak in the Democratic Republic of the Congo using Hawkes point process models

(2019) J. Daniel Kelly et al.   Epidemics

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

Short-term forecasting of bark beetle outbreaks on two economically important conifer tree species

(2019) Maarten de Groot et al.   FOREST ECOLOGY AND MANAGEMENT

Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning

(2019) Sumiko Anno et al.   Geospatial Health

The forecasting of dynamical Ross River virus outbreaks: Victoria, Australia

(2019) Iain S. Koolhof et al.   Epidemics

Testing predictability of disease outbreaks with a simple model of pathogen biogeography

(2019) Tad A. Dallas et al.   Royal Society Open Science

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

Forecasting respiratory infectious outbreaks using ED-based syndromic surveillance for febrile ED visits in a Metropolitan City

(2018) Tae Han Kim et al.   AMERICAN JOURNAL OF EMERGENCY MEDICINE

Calibration of a SEIR–SEI epidemic model to describe the Zika virus outbreak in Brazil

(2018) Eber Dantas et al.   APPLIED MATHEMATICS AND COMPUTATION

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

Development of genetic programming-based model for predicting oyster norovirus outbreak risks

(2018) Shima Shamkhali Chenar et al.   WATER RESEARCH

Superensemble forecast of respiratory syncytial virus outbreaks at national, regional, and state levels in the United States

(2018) Julia Reis et al.   Epidemics

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

Flood Prediction Using Machine Learning Models: Literature Review

(2018) Amir Mosavi et al.   Water

An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines

(2018) Bahram Choubin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Application of ANFIS-based subtractive clustering algorithm in soil Cation Exchange Capacity estimation using soil and remotely sensed data

(2017) Ali Keshavarzi et al.   MEASUREMENT

Modeling the effects of ultrasound power and reactor dimension on the biodiesel production yield: Comparison of prediction abilities between response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS)

(2016) Mostafa Mostafaei et al.   ENERGY

Fitting the SEIR model of seasonal influenza outbreak to the incidence data for Russian cities

(2016) Vasiliy N. Leonenko et al.   RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING

Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir

(2012) Mohammad Ali Ahmadi et al.   APPLIED SOFT COMPUTING

A Note on the Derivation of Epidemic Final Sizes

(2012) Joel C. Miller   BULLETIN OF MATHEMATICAL BIOLOGY

Online genetic-ANFIS temperature control for advanced microwave biodiesel reactor

(2012) W.A. Wali et al.   JOURNAL OF PROCESS CONTROL

Application of ANFIS to predict crop yield based on different energy inputs

(2012) Leila Naderloo et al.   MEASUREMENT

Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)

(2011) M. Mohandes et al.   APPLIED ENERGY

Prediction of building energy needs in early stage of design by using ANFIS

(2010) Betul Bektas Ekici et al.   EXPERT SYSTEMS WITH APPLICATIONS

Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation

(2010) Ali A. Najah et al.   NEURAL COMPUTING & APPLICATIONS

The effectiveness of fallowing strategies in disease control in salmon aquaculture assessed with an SIS model

(2010) M. Werkman et al.   PREVENTIVE VETERINARY MEDICINE

Imperialist competitive algorithm for minimum bit error rate beamforming

(2009) Arash Khabbazi et al.   International Journal of Bio-Inspired Computation

Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models

(2008) Işık Yilmaz et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES