Journal ID (nlm-ta): PLoS One
Journal ID (iso-abbrev): PLoS ONE
Journal ID (publisher-id): plos
Journal ID (pmc): plosone
Title:
PLoS ONE
Publisher:
Public Library of Science
(San Francisco, CA USA
)
ISSN
(Electronic):
1932-6203
Publication date Collection: 2017
Publication date
(Electronic):
28
November
2017
Volume: 12
Issue: 11
Electronic Location Identifier: e0188808
Affiliations
[1
]
Civil & Environmental Engineering, University of California, Berkeley, California,
United States of America
[2
]
Biostatistics, University of California, Berkeley, California, United States of America
[3
]
Mechanical Engineering, Portland State University, Portland, Oregon, United States
of America
[4
]
SweetSense Inc., Portland, Oregon, United States of America
Author notes
Competing Interests: DW, JC and ET are employees of SweetSense Inc., and ET is co-owner. This does not
alter our adherence to PLOS ONE policies on sharing data and materials.
Author information
Article
Publisher ID:
PONE-D-17-28950
DOI: 10.1371/journal.pone.0188808
PMC ID: 5705089
PubMed ID: 29182673
SO-VID: 1ec2a212-1943-44b0-9beb-13be944be2d7
Copyright © © 2017 Wilson et al
License:
This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
Funded by: Small Business Innovation Research (US)
Award ID: 1621444
Award Recipient
:
Evan A. Thomas
This work was funded by the National Science Foundation’s Small Business Innovative
Research program, under award number 1621444 (
https://nsf.gov/awardsearch/) to SweetSense Inc. The NSF as funder provided support in the form of salaries through
SweetSense Inc. for authors DW, JC, ET, but did not have any additional role in the
study design, data collection and analysis, decision to publish, or preparation of
the manuscript. The authors are also affiliated with the universities listed. The
authors were not compensated for this work by their universities. The specific roles
of these authors are articulated in the author contributions section.
Subject:
Research Article
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Engineering and Technology
Subject:
Environmental Engineering
Subject:
Water Management
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Applied Mathematics
Subject:
Algorithms
Subject:
Machine Learning Algorithms
Subject:
Research and Analysis Methods
Subject:
Simulation and Modeling
Subject:
Algorithms
Subject:
Machine Learning Algorithms
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Machine Learning Algorithms
Subject:
Biology and Life Sciences
Subject:
Neuroscience
Subject:
Cognitive Science
Subject:
Cognitive Psychology
Subject:
Learning
Subject:
Human Learning
Subject:
Biology and Life Sciences
Subject:
Psychology
Subject:
Cognitive Psychology
Subject:
Learning
Subject:
Human Learning
Subject:
Social Sciences
Subject:
Psychology
Subject:
Cognitive Psychology
Subject:
Learning
Subject:
Human Learning
Subject:
Biology and Life Sciences
Subject:
Neuroscience
Subject:
Learning and Memory
Subject:
Learning
Subject:
Human Learning
Subject:
Research and Analysis Methods
Subject:
Mathematical and Statistical Techniques
Subject:
Statistical Methods
Subject:
Forecasting
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Statistics (Mathematics)
Subject:
Statistical Methods
Subject:
Forecasting
Subject:
Ecology and Environmental Sciences
Subject:
Natural Resources
Subject:
Water Resources
Subject:
Engineering and Technology
Subject:
Transportation
Subject:
Ambulances
Subject:
People and Places
Subject:
Geographical Locations
Subject:
Africa
Subject:
Kenya