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
United States Of America Geological Survey, Reston, VA, United States Of America
Department of Geological Sciences, University of Vermont, 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 actually the possibility to greatly expand our power to observe and monitor the characteristics of big water systems. 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 defectively incorporated into inland water sciences, to some extent as a result of too little publicly available training information and a notion that remote quotes are unreliable. Remote sensing types of water quality could be enhanced by training and validation 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 gathered within В±1 time of each and every other. To construct AquaSat, we developed source that is open in R and Python and used them to current general general general general public information sets within the contiguous united states of america, such as the Water Quality Portal, LAGOS‐NE, as well as the Landsat archive. Along with posting the information set, we’re additionally posting our code that is full architecture facilitate expanding and increasing AquaSat. We anticipate that this work may help make remote sensing of inland water accessible to more hydrologists, ecologists, and limnologists while assisting data‐driven that is novel to monitoring and understanding critical water resources most importantly spatiotemporal scales.
Amount 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, assessing spatiotemporal variation
in water chemistry associated with top Colorado River making use of longitudinal profiling, Hydrological procedures.
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Arikui – a User that is dubious Detection for online dating sites in Japan
Research production : Chapter in Book/Report/Conference proceeding › Conference Contribution (seminar Proceeding)
Abstract
Online dating sites comprises one away from countless popular solutions that could be accessed through the Web nowadays. This paper introduces a novel detection system for pinpointing questionable users, in other words. users whom start using A japanese online dating sites solution for purposes besides dating. Types of such purposes consist of product product product sales and multi-level advertising, and others. More especially, the proposed detection is described as simultaneously analyzing: (i) user profile information; (ii) individual actions over their very very very very first hours that are few and (iii) data retrieved from Facebook to find the reality 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 care group in Eureka Inc, where it’s been implemented.
Publication series
Seminar
Keywords
- big information
- information system
- device learning
- spam detection
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Accepted writer manuscript, 222 KB Licence: Other
- Advertising Engineering & Components Science
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IEEE International 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 wide variety services that are popular could be accessed through the online nowadays. This paper introduces a novel detection system for pinpointing questionable users, i.e. users whom start using an online that is japanese solution for purposes besides dating. Types of such purposes consist of product product sales and multi-level advertising, and others. More particularly, the proposed detection is seen as an simultaneously analyzing: (i) user profile information; (ii) individual actions over their very very first hours that are few and (iii) data retrieved from Facebook to find the chance that an individual is just a spammer. The ensuing system effectively detects lots of spammers each day, therefore becoming a very important device for the customer care group in Eureka Inc, where it’s been implemented.
AB – internet dating comprises one away from wide variety services that are popular may be accessed through the Web nowadays. This paper introduces a novel detection system for distinguishing questionable users, in other words. users whom start using an online that is japanese solution for purposes besides dating. Samples of such purposes consist of product product product product sales and multi-level advertising, and others. More especially, the proposed detection is seen as a simultaneously analyzing: (i) user profile information; (ii) individual actions over their very very very first hours that are few and (iii) data retrieved from Facebook to find the reality that the consumer is just a spammer. The system that is resulting detects lots of spammers each day, therefore becoming a very important device when it comes to customer care group in Eureka Inc, where it is often 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