Search results
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Title
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Functional dynamics of substrate recognition in tem beta-lactamase
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Author
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Jacobs, Donald J., Avery, Chris, Baker, Lonnie
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Date Created
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2022
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Subjects--Topical
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Machine learning, Molecular dynamics
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Description
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The beta-lactamase enzyme provides effective resistance to beta-lactam antibiotics due to substrate recognition controlled by point mutations. Recently, extended-spectrum and inhibitor-resistant mutants have become a global health problem. Here, t...
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Title
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Machine learning on the COVID-19 pandemic, human mobility and air quality : a review
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Author
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Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
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Date Created
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2021
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Subjects--Topical
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Machine learning, COVID-19 (Disease)
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Description
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The ongoing COVID-19 global pandemic is touching every facet of human lives (e.g., public health, education, economy, transportation, and the environment). This novel pandemic and non-pharmaceutical interventions of lockdown and confinement implem...
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Title
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Machine learning of spatial data
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Author
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Thill, Jean-Claude, Nikparvar, Behnam
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Date Created
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2021
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Subjects--Topical
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Machine learning, Geospatial data
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Description
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Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application. At the same time, resources that would identify these properties and investigate their influence and methods to...
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Title
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A novel machine learning framework for comparison of viral COVID-19–related Sina Weibo and Twitter posts : workflow development and content analysis
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Author
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Chen, Shi, Zhou, Lina, Song, Yunya, Xu, Qian, Wang, Ping, Wang, Kanlun, Ge, Yaorong, Janies, Daniel
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Date Created
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2021
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Subjects--Topical
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COVID-19 (Disease), Twitter (Firm), Social media, Machine learning
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Description
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Background: Social media plays a critical role in health communications, especially during global health emergencies such as the current COVID-19 pandemic. However, there is a lack of a universal analytical framework to extract, quantify, and comp...
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Title
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In search of a predictive model for aflatoxin insurance claims based on temperature data
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Author
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German-Jimenez, Fausto, Terejanu, Gabriel
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Date Created
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2022
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Subjects--Topical
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Computer science, Machine learning, Statistics, Agriculture
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Description
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Aflatoxin is a carcinogenic product of mold that affects thousands of corn-producing farms in the United States every year, so being able to predict when a county will have compromising aflatoxin levels could be beneficial for insurance companies....
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Title
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Predicting lightning-related outages in power distribution systems : a statistical approach
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Author
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Chowdhury, Badrul, Doostan, Milad
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Subjects--Topical
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Machine learning, Electric power distribution--Communication systems, Lightning
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Description
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This paper presents a novel data-driven approach for predicting lightning-related outages that occur in power distribution systems on a daily basis. In order to develop an approach that is able to successfully fulfill this objective, there are two...
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Title
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Improving measurement and prediction in personnel selection through the application of machine learning
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Author
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Tonidandel, Scott, Albritton, Betsy, Speer, Andrew, Guo, Feng
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Date Created
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2023
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Subjects--Topical
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Machine learning, Artificial intelligence
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Description
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Machine learning (ML) is being widely adopted by organizations to assist in selecting personnel, commonly by scoring narrative information or by eliminating the inefficiencies of human scoring. This combined article presents six such efforts from ...
