Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, United States Of America
Communication to: M. R. V. Ross,
Department of Geological Sciences, University of New York, Chapel Hill, NC, United States Of America
United States Of America Geological Survey, Reston, VA, United States Of America
Department of Geological Sciences, University of New York, Chapel Hill, NC, United States Of America
College of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States Of America
College of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States Of America
NASA Jet Propulsion Laboratory, Pasadena, CA, United States Of America
Department of Geological Sciences, University of New York, Chapel Hill, NC, United States Of America
Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, United States Of America
Communication to: M. R. V. Ross,
Department of Geological Sciences, University of Vermont, Chapel Hill, NC, United States Of America
Usa Geological Survey, Reston, VA, United States Of America
Department of Geological Sciences, University of New York, Chapel Hill, NC, United States Of America
College of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States Of America
College of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States Of America
NASA Jet Propulsion Laboratory, Pasadena, CA, United States Of America
Department of Geological Sciences, University of New York, Chapel Hill, NC, United States Of America
Abstract
Satellite quotes of inland water quality have the possibility to greatly expand our capacity to observe and monitor the dynamics of big water figures. A, and Secchi disk depth for almost 50 years, we have been able to remotely sense key water quality constituents like total suspended sediment, dissolved organic carbon, chlorophyll. Nevertheless, remote sensing of water quality is badly incorporated into inland water sciences, in component because of too little publicly training that is available and a notion that remote quotes are unreliable. Remote sensing types of water quality could be enhanced by validation and training on bigger information sets of coincident field and satellite findings, right right right right here called matchups. The largest such matchup data set ever assembled to facilitate model development and deeper integration of remote sensing into inland water science, we have built AquaSat. AquaSat contains a lot more than 600,000 matchups, of ground‐based total suspended sediment, dissolved carbon that is organic chlorophyll a, and SDDSecchi disk depth measurements paired with spectral reflectance from Landsat 5, 7, and 8 obtained within ±1 time of every other. To create AquaSat, we developed available supply tools in R and Python and used them to current general general general public information sets within the contiguous usa, such as the Water Quality Portal, LAGOS‐NE, plus the Landsat archive. As well as posting the info set, we have been additionally posting our code that is full architecture facilitate expanding and increasing AquaSat. We anticipate that this work can help make remote sensing of inland water accessible to more hydrologists, ecologists, and limnologists while assisting novel data‐driven approaches to monitoring and understanding critical water resources in particular spatiotemporal scales.
Quantity of times cited based on CrossRef: 8
- Robert T. Hensley, Margaret J. Spangler, Lauren F. DeVito, Paul H. Decker, Matthew J. Cohen, Michael N. Gooseff, evaluating variation that is spatiotemporal water chemistry regarding the top Colorado River making use of longitudinal profiling, Hydrological procedures.
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Arikui – A questionable consumer Detection System for online dating sites in Japan
Research production : Chapter in Book/Report/Conference proceeding › Conference Contribution (meeting Proceeding)
Abstract
Internet dating comprises one away from wide variety services that are popular may be accessed through the online nowadays. This paper introduces a novel detection system for distinguishing questionable users, for example. users whom start using an online that is japanese solution for purposes polish hearts besides dating. Samples of such purposes consist of product product product sales and multi-level advertising, and others. More especially, the proposed detection is seen as an simultaneously analyzing: (i) user profile information; (ii) individual actions over their very very very very very first couple of hours; and (iii) data retrieved from Facebook to find the chance that the consumer is a spammer. The ensuing system effectively detects lots of spammers every single day, thus becoming an invaluable device for the customer support group in Eureka Inc, where it was implemented.
Publication series
Seminar
Keywords
- big information
- information system
- device learning
- spam detection
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This is actually the author that is accepted (AAM). The last posted variation (version of record) can be obtained online via IEEE. Please make reference to any relevant terms of good use associated with publisher.
Accepted writer manuscript, 222 KB Licence: Other
- Advertising Engineering & Components Science
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IEEE Overseas Conference on Systems, Man and Cybernetics (SMC). Institute of electric and Electronics Engineers (IEEE), (IEEE Overseas Conference on Systems, guy and Cybernetics).
Research production : Chapter in Book/Report/Conference proceeding › Conference Contribution (meeting Proceeding)
T1 – Arikui – A questionable consumer Detection System for internet dating in Japan
AU – Palomares, Ivan
N2 – internet dating comprises one away from variety services that are popular may be accessed through the online nowadays. This paper introduces a novel detection system for determining questionable users, in other words. users whom use an online that is japanese solution for purposes besides dating. Types of such purposes consist of product product product product sales and multi-level advertising, and the like. More especially, the proposed detection is seen as a simultaneously analyzing: (i) user profile information; (ii) individual actions over their very very very very very first couple of hours; and (iii) data retrieved from Facebook in order to find the chance that the consumer is really a spammer. The system that is resulting detects lots of spammers each day, therefore becoming a very important device for the customer support group in Eureka Inc, where it’s been implemented.
AB – online dating sites comprises one away from countless popular solutions that could be accessed through the online nowadays. This paper introduces a novel detection system for pinpointing questionable users, in other words. users whom use an online that is japanese solution for purposes besides dating. Samples of such purposes consist of product product product product product sales and multi-level advertising, and the like. More especially, the proposed detection is seen as an simultaneously analyzing: (i) user profile information; (ii) individual actions over their very very very first couple of hours; and (iii) data retrieved from Facebook to find the chance that an individual is really a spammer. The system that is resulting detects lots of spammers every single day, thus becoming an invaluable device for the customer care group in Eureka Inc, where it’s been implemented.
KW – information system
KW – device learning
KW – spam detection
M3 – Seminar Share (Seminar Proceeding)
T3 – IEEE International Conference on Systems, guy and Cybernetics
BT – IEEE International Conference on Systems, Man and Cybernetics (SMC)
PB – Institute of electric and Electronics Engineers (IEEE)
T2 – IEEE International Conference on Systems, guy, and Cybernetics, SMC