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Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML.
In Soft computing
Han Tao, Gois Francisco Nauber Bernardo, Oliveira Ramsés, Prates Luan Rocha, Porto Magda Moura de Almeida
2021-Jan-05
AutoML, COVID-19, Forecast, Kalman Filter

COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images.
In Frontiers in medicine
Gunraj Hayden, Wang Linda, Wong Alexander
2020
COVID-19, SARS-CoV-2, computed tomography, deep learning, image classification, pneumonia

The Use of Accurate Pore Pressure Monitoring for Risk Reduction in Tailings Dams.
In Mine water and the environment
Morton Kym Lesley
2021-Jan-06
Artificial intelligence, Equipotentials, Piezometers, Robotics, Satellite tracking, TSF

Predicting the European stock market during COVID-19: A machine learning approach.
In MethodsX
Khattak Mudeer Ahmed, Ali Mohsin, Rizvi Syed Aun R
2021
Coronavirus, Europe, Least Absolute Shrinkage and Selection Operator (LASSO), Stock markets
Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method.
In Neural computing & applications
** :
Supplementary Information :
Li Simin, Lin Yulan, Zhu Tong, Fan Mengjie, Xu Shicheng, Qiu Weihao, Chen Can, Li Linfeng, Wang Yao, Yan Jun, Wong Justin, Naing Lin, Xu Shabei
2021-Jan-05
COVID-19, China, Machine learning, Mortality, Prediction

SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2.
In Sustainable cities and society
Nagrath Preeti, Jain Rachna, Madan Agam, Arora Rohan, Kataria Piyush, Hemanth Jude
2021-Mar
Bottleneck, Convolutional Neural Network, Data augmentation, Fine tuning, MobileNetV2
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