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Applied Intelligence （APIN） - May 2021, issue 5 论文列表

点击这里查看 Applied Intelligence 的JCR分区、影响因子等信息
卷期号： May 2021, issue 5
发布时间：
卷期年份： 2021
卷期官网： https://link.springer.com/journal/10489/volumes-and-issues/51-5
本期论文列表
Editorial for the COVID special issue

Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks

Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression model

Kalman filter based short term prediction model for COVID-19 spread

A gradient boosting machine learning approach in modeling the impact of temperature and humidity on the transmission rate of COVID-19 in India

A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networks

Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networks

Correction to: Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networks

Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays

Design and analysis of a large-scale COVID-19 tweets dataset

Stacked-autoencoder-based model for COVID-19 diagnosis on CT images

SEIAQRDT model for the spread of novel coronavirus (COVID-19): A case study in India

FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms

Attention-based VGG-16 model for COVID-19 chest X-ray image classification

An automatic approach based on CNN architecture to detect Covid-19 disease from chest X-ray images

“Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images”

Intelligent system for COVID-19 prognosis: a state-of-the-art survey

A method based on Graph Theory and Three Way Decisions to evaluate critical regions in epidemic diffusion:

Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component

A new clustering method for the diagnosis of CoVID19 using medical images

Cropping and attention based approach for masked face recognition

Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detection

Densely connected convolutional networks-based COVID-19 screening model

Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis

The analysis of isolation measures for epidemic control of COVID-19

Using artificial intelligence techniques for COVID-19 genome analysis

Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification