Year-Independent Prediction of Food Insecurity Using Classical and Neural Network Machine Learning Methods

Autor: Cade Christensen, Torrey J. Wagner, Brent T. Langhals

Publikováno v: AI, Vol 2, Iss 15, Pp 244-260 (2021)
AI
Volume 2
Issue 2
Pages 15-260

Current food crisis predictions are developed by the Famine Early Warning System Network, but they fail to classify the majority of food crisis outbreaks with model metrics of recall (0.23), precision (0.42), and f1 (0.30). In this work, using a Worl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::883a8ebc819bfed98b214a8a09fad10f
https://www.mdpi.com/2673-2688/2/2/15

Meeting Temporary Facility Energy Demand With Climate-Optimized Off-Grid Energy Systems

Autor: Justin D. Delorit, Torrey J. Wagner, Jay Pearson, Steven J. Schuldt

Publikováno v: IEEE Open Access Journal of Power and Energy, Vol 7, Pp 203-211 (2020)

Remote and contingency operations, including military and disaster-relief activities, often require the use of temporary facilities powered by inefficient diesel generators that are expensive to operate and maintain. Site planners can reduce operatin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ae4fd644a43e4c7a5f87a798b4889b9
https://ieeexplore.ieee.org/document/9104683/

Classical and Neural Network Machine Learning to Determine the Risk of Marijuana Use

Autor: Brent T. Langhals, Torrey J. Wagner, Laura Zoboroski

Publikováno v: International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 18, Iss 7466, p 7466 (2021)
Volume 18
Issue 14

Marijuana is the most commonly abused drug for military personnel tested at the Air Force Drug Testing Laboratory. A publicly available dataset of drug use, personality trait scores and demographic data was modeled with logistic regression, decision

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13af211ff3e54eb8fb37bd5db05e314f
http://europepmc.org/articles/PMC8304402

A Multi-Criteria Logistics Analysis of Photovoltaic Modules for Remote Applications

Autor: Andrew J. Hoisington, Torrey J. Wagner, Steven J. Schuldt, Nathan Thomsen, Dimitri Papazoglou

Publikováno v: 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).

Reliable electrical power grids are frequently unavailable or inaccessible in remote locations, including developing nation communities, humanitarian relief camps, isolated construction sites, and military contingency bases. This often requires sites

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::70774f22806a0f26b68dd48bd8f879bf
https://doi.org/10.1109/pvsc45281.2020.9300756

Machine Learning Modeling of Horizontal Photovoltaics Using Weather and Location Data

Autor: Clay Michael Koschnick, Christil Pasion, Jada B. Williams, Steven J. Schuldt, Kevin P. Hallinan, Torrey J. Wagner

Publikováno v: Energies, Vol 13, Iss 2570, p 2570 (2020)
Energies; Volume 13; Issue 10; Pages: 2570

Solar energy is a key renewable energy source; however, its intermittent nature and potential for use in distributed systems make power prediction an important aspect of grid integration. This research analyzed a variety of machine learning technique

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::887ae15e652c4c56d03d2a07184cc537
https://www.mdpi.com/1996-1073/13/10/2570