AIMC Topic: COVID-19

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Cash stock strategies during regular and COVID-19 periods for bank branches by deep learning.

PloS one Jun 7, 2022
Determining the optimal amount of cash stock reserved in each bank branch is a strategic decision. A certain level of cash stock must be kept and ready for cash withdrawal needs at a branch. However, holding too much cash not only forfeits opportunit...
Deep Learning Financial Statements COVID-19 Research Humans Neural Networks, Computer
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A Novel Approach on Deep Learning-Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs' Effect over COVID-19 Pandemic.

International journal of environmental research and public health Jun 1, 2022
Following the outbreak of the COVID-19 pandemic, the continued emergence of major variant viruses has caused enormous damage worldwide by generating social and economic ripple effects, and the importance of PHSMs (Public Health and Social Measures) i...
Humans Disease Outbreaks Deep Learning Pandemics COVID-19
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COVID-19 Isolation Control Proposal UAV and UGV for Crowded Indoor Environments: Assistive Robots in the Shopping Malls.

Frontiers in public health May 31, 2022
Artificial intelligence researchers conducted different studies to reduce the spread of COVID-19. Unlike other studies, this paper isn't for early infection diagnosis, but for preventing the transmission of COVID-19 in social environments. Among the ...
Male Robotics COVID-19 Female Humans Artificial Intelligence
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ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction.

Nature methods May 30, 2022
Predicting the functional sites of a protein from its structure, such as the binding sites of small molecules, other proteins or antibodies, sheds light on its function in vivo. Currently, two classes of methods prevail: machine learning models built...
Humans COVID-19 Proteins Binding Sites Protein Binding Spike Glycoprotein, Coronavirus SARS-CoV-2 Deep Learning
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Dual Mode HRI-HRI Control System with a Hybrid Admittance-Force Controller for Ultrasound Imaging.

Sensors (Basel, Switzerland) May 26, 2022
The COVID-19 pandemic has brought unprecedented extreme pressure on the medical system due to the physical distance policy, especially for procedures such as ultrasound (US) imaging, which are usually carried out in person. Tele-operation systems are...
Robotics Pandemics COVID-19 Feedback Ultrasonography Humans
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An Analysis of New Feature Extraction Methods Based on Machine Learning Methods for Classification Radiological Images.

Computational intelligence and neuroscience May 25, 2022
The lungs are COVID-19's most important focus, as it induces inflammatory changes in the lungs that can lead to respiratory insufficiency. Reducing the supply of oxygen to human cells negatively impacts humans, and multiorgan failure with a high mort...
COVID-19 Bayes Theorem Artificial Intelligence Machine Learning Humans Neural Networks, Computer
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In the Seeking of Association between Air Pollutant and COVID-19 Confirmed Cases Using Deep Learning.

International journal of environmental research and public health May 24, 2022
The COVID-19 pandemic raises awareness of how the fatal spreading of infectious disease impacts economic, political, and cultural sectors, which causes social implications. Across the world, strategies aimed at quickly recognizing risk factors have a...
Deep Learning Air Pollutants Air Pollution Particulate Matter Pandemics COVID-19 Humans
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A Deep Learning Model for Accurate Diagnosis of Infection Using Antibody Repertoires.

Journal of immunology (Baltimore, Md. : 1950) May 23, 2022
The adaptive immune receptor repertoire consists of the entire set of an individual's BCRs and TCRs and is believed to contain a record of prior immune responses and the potential for future immunity. Analyses of TCR repertoires via deep learning (DL...
Amino Acid Sequence Deep Learning Receptors, Antigen, T-Cell Humans COVID-19
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AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID-19.

Computers in biology and medicine May 22, 2022
Alzheimer's disease (AD) is the leading cause of dementia globally, with a growing morbidity burden that may exceed diagnosis and management capabilities. The situation worsens when AD patient fatalities are exposed to COVID-19. Because of difference...
COVID-19 Risk Factors Humans Neural Networks, Computer Deep Learning Alzheimer Disease
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Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.

Computers in biology and medicine May 21, 2022
BACKGROUND: COVLIAS 1.0: an automated lung segmentation was designed for COVID-19 diagnosis. It has issues related to storage space and speed. This study shows that COVLIAS 2.0 uses pruned AI (PAI) networks for improving both storage and speed, wilie...
COVID-19 Tomography, X-Ray Computed Reproducibility of Results Lung Humans Neural Networks, Computer COVID-19 Testing Deep Learning Image Processing, Computer-Assisted
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