Comparative study of machine learning methods for COVID-19 transmission forecasting

The Role of Augmented Intelligence (AI) in Detecting and Preventing the Spread of Novel Coronavirus

(2020) Justin B. Long et al.   JOURNAL OF MEDICAL SYSTEMS

Deep learning system to screen coronavirus disease 2019 pneumonia

(2020) Charmaine Butt et al.   APPLIED INTELLIGENCE

Coronavirus Disease 2019 (COVID‐19): What we know?

(2020) Feng He et al.   JOURNAL OF MEDICAL VIROLOGY

A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19

(2020) Youssoufa Mohamadou et al.   APPLIED INTELLIGENCE

Time series forecasting of COVID-19 transmission in Canada using LSTM networks

(2020) Vinay Kumar Reddy Chimmula et al.   CHAOS SOLITONS & FRACTALS

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

(2020) Matheus Henrique Dal Molin Ribeiro et al.   CHAOS SOLITONS & FRACTALS

Short-term forecasts of the COVID-19 pandemic: study case of Cameroon

(2020) C. Hameni Nkwayep et al.   CHAOS SOLITONS & FRACTALS

COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches

(2020) Mesut Toğaçar et al.   COMPUTERS IN BIOLOGY AND MEDICINE

COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images

(2020) Ferhat Ucar et al.   MEDICAL HYPOTHESES

OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19

(2020) Tripti Goel et al.   APPLIED INTELLIGENCE

Forecasting emergency department overcrowding: A deep learning framework

(2020) Fouzi Harrou et al.   CHAOS SOLITONS & FRACTALS

An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data

(2020) Yaohao Peng et al.   CHAOS SOLITONS & FRACTALS

Optimal Control Design of Impulsive SQEIAR Epidemic Models with Application to COVID-19

(2020) Zohreh Abbasi et al.   CHAOS SOLITONS & FRACTALS

Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review

(2020) Samuel Lalmuanawma et al.   CHAOS SOLITONS & FRACTALS

Partial derivative Nonlinear Global Pandemic Machine Learning prediction of COVID 19

(2020) Durga Prasad Kavadi et al.   CHAOS SOLITONS & FRACTALS

Modeling and forecasting the COVID-19 pandemic in India

(2020) Kankan Sarkar et al.   CHAOS SOLITONS & FRACTALS

Malicious attacks detection in crowded areas using deep learning-based approach

(2020) Fouzi Harrou et al.   IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE

Abnormal events detection using deep neural networks: application to extreme sea surface temperature detection in the Red Sea

(2019) Mohamad Mazen Hittawe et al.   JOURNAL OF ELECTRONIC IMAGING

Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI

(2019) Udaysankar Chockanathan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Diabetic Retinopathy Detection through Novel Tetragonal Local Octa Patterns and Extreme Learning Machines

(2019) Tahira Nazir et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

An adaptive machine learning approach to improve automatic iceberg detection from SAR images

(2019) Mauro M. Barbat et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep learning approach for sustainable WWTP operation: A case study on data-driven influent conditions monitoring

(2019) Abdelkader Dairi et al.   Sustainable Cities and Society

Artificial plant optimization algorithm to detect heart rate & presence of heart disease using machine learning

(2019) Prerna Sharma et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

A Smart Dental Health-IoT Platform Based on Intelligent Hardware, Deep Learning, and Mobile Terminal

(2019) Lizheng Liu et al.   IEEE Journal of Biomedical and Health Informatics

Obstacle Detection for Intelligent Transportation Systems Using Deep Stacked Autoencoder and $k$ -Nearest Neighbor Scheme

(2018) Abdelkader Dairi et al.   IEEE SENSORS JOURNAL

Detecting abnormal ozone measurements with a deep learning-based strategy

(2018) Fouzi Harrou et al.   IEEE SENSORS JOURNAL

Statistical monitoring of a wastewater treatment plant: A case study

(2018) Fouzi Harrou et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Anticipating the international spread of Zika virus from Brazil

(2016) Isaac I Bogoch et al.   LANCET

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance

(2013) Gonzalo Nápoles et al.   EXPERT SYSTEMS WITH APPLICATIONS

Tunnel Surrounding Rock Displacement Prediction Using Support Vector Machine

(2013) Bao-Zhen Yao et al.   International Journal of Computational Intelligence Systems

Accurate Multisteps Traffic Flow Prediction Based on SVM

(2013) Zhang Mingheng et al.   MATHEMATICAL PROBLEMS IN ENGINEERING