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1Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach
T. Zheng, M. Bergin, S. Hu, J. Miller, and D. Carlson. Atmospheric Environment, (2020)
2 years ago by @msteininger
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cnn
air
lur
satellite
pollution
cnnairlursatellitepollution
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2Spatiotemporal Land Use Regression Models of Fine, Ultrafine, and Black Carbon Particulate Matter in New Delhi, India
A. Saraswat, J. Apte, M. Kandlikar, M. Brauer, S. Henderson, and J. Marshall. Environmental Science & Technology, 47 (22): 12903-12911 (2013)PMID: 24087939.
3 years ago by @msteininger
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lursurvey
regression
air
lur
pollution
lursurveyregressionairlurpollution
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12OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning
F. Lautenschlager, M. Becker, K. Kobs, M. Steininger, P. Davidson, A. Krause, and A. Hotho. Atmospheric Environment, (2020)
4 years ago by @hotho
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myown
air
lur
2020
cv1
pollution
myownairlur2020cv1pollution
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11MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images
M. Steininger, K. Kobs, A. Zehe, F. Lautenschlager, M. Becker, and A. Hotho. ACM Trans. Spatial Algorithms Syst., (April 2020)
4 years ago by @hotho
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myown
deep
Land-use
regression
air
learning
2020
cv1
pollution
myowndeepLand-useregressionairlearning2020cv1pollution
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12OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning
F. Lautenschlager, M. Becker, K. Kobs, M. Steininger, P. Davidson, A. Krause, and A. Hotho. Atmospheric Environment, (2020)
5 years ago by @becker
show all tags
automl
project:bmbf
myown
use
everyaware
air
lur
quality
eva
optimization
bayes
regression
land
open
automlproject:bmbfmyownuseeveryawareairlurqualityevaoptimizationbayesregressionlandopen
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11MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images
M. Steininger, K. Kobs, A. Zehe, F. Lautenschlager, M. Becker, and A. Hotho. ACM Transactions on Spatial Algorithms and Systems (TSAS), 6 (3): 1--24 (2020)
5 years ago by @becker
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image
project:bmbf
mapping
myown
cnn
neural
air
network
networks
quality
p21
street
prediction
map
open
imageproject:bmbfmappingmyowncnnneuralairnetworknetworksqualityp21streetpredictionmapopen
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11MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images
M. Steininger, K. Kobs, A. Zehe, F. Lautenschlager, M. Becker, and A. Hotho. ACM Trans. Spatial Algorithms Syst., (April 2020)
5 years ago by @dmir
show all tags
app_eco
environmental
myown
Land-use
regression
air
deep_learning
project:p2map
author:zehe
from:msteininger
pollution
app_ecoenvironmentalmyownLand-useregressionairdeep_learningproject:p2mapauthor:zehefrom:msteiningerpollution
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11MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images
M. Steininger, K. Kobs, A. Zehe, F. Lautenschlager, M. Becker, and A. Hotho. ACM Trans. Spatial Algorithms Syst., (April 2020)
5 years ago by @albinzehe
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myown
deep
Land-use
regression
air
learning
author:zehe
pollution
myowndeepLand-useregressionairlearningauthor:zehepollution
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11MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images
M. Steininger, K. Kobs, A. Zehe, F. Lautenschlager, M. Becker, and A. Hotho. ACM Trans. Spatial Algorithms Syst., (April 2020)
5 years ago by @msteininger
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environmental
myown
deep
Land-use
regression
accepted
air
learning
project:p2map
pollution
environmentalmyowndeepLand-useregressionacceptedairlearningproject:p2mappollution
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2Variability in and Agreement between Modeled and Personal Continuously Measured Black Carbon Levels Using Novel Smartphone and Sensor Technologies
M. Nieuwenhuijsen, D. Donaire-Gonzalez, I. Rivas, M. de Castro, M. Cirach, G. Hoek, E. Seto, M. Jerrett, and J. Sunyer. Environmental Science & Technology, 49 (5): 2977--2982 (February 2015)
6 years ago by @becker
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bc
mapping
pm2.5
air
black
pm25
quality
eva
school
carbon
2.5
map
p2map
model
pm
bcmappingpm2.5airblackpm25qualityevaschoolcarbon2.5mapp2mapmodelpm
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2Spatiotemporal Land Use Regression Models of Fine, Ultrafine, and Black Carbon Particulate Matter in New Delhi, India
A. Saraswat, J. Apte, M. Kandlikar, M. Brauer, S. Henderson, and J. Marshall. Environmental Science & Technology, 47 (22): 12903-12911 (2013)PMID: 24087939.
7 years ago by @lautenschlager
show all tags
lursurvey
regression
air
lur
pollution
lursurveyregressionairlurpollution
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1Establishing an air pollution monitoring network for intra-urban population exposure assessment: A location-allocation approach
P. Kanaroglou, M. Jerrett, J. Morrison, B. Beckerman, M. Arain, N. Gilbert, and J. Brook. Atmospheric Environment, 39 (13): 2399 - 2409 (2005)12th International Symposium, Transport and Air Pollution.
7 years ago by @lautenschlager
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lursurvey
effects
Monitoring
assessment
models
Health
Traffic
Air
emissions
Location-allocation
networks
pollution
lursurveyeffectsMonitoringassessmentmodelsHealthTrafficAiremissionsLocation-allocationnetworkspollution
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1Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe – The ESCAPE project
R. Beelen, G. Hoek, D. Vienneau, M. Eeftens, K. Dimakopoulou, X. Pedeli, M. Tsai, N. Künzli, T. Schikowski, A. Marcon and 39 other author(s). Atmospheric Environment, (2013)
8 years ago by @lautenschlager
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thema:LUR
regression
thema
use
land
air
pollution
thema:LURregressionthemauselandairpollution
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1A review and evaluation of intraurban air pollution exposure models
M. Jerrett, A. Arain, P. Kanaroglou, B. Beckerman, D. Potoglou, T. Sahsuvaroglu, J. Morrison, and C. Giovis. Journal of Exposure Science and Environmental Epidemiology, 15 (2): 185--204 (2005)
9 years ago by @becker
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proposal
maps
eva21
air
prediction
model
quality
participatory
proposalmapseva21airpredictionmodelqualityparticipatory
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3Enabling low-cost particulate matter measurement for participatory sensing scenarios
M. Budde, R. El Masri, T. Riedel, and M. Beigl. Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia, page 19. ACM, (2013)
9 years ago by @becker
show all tags
sensing
smartphone
proposal
eva21
air
collective
mobile
quality
participatory
sensingsmartphoneproposaleva21aircollectivemobilequalityparticipatory
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1Within-urban variability in ambient air pollution: comparison of estimation methods
J. Marshall, E. Nethery, and M. Brauer. Atmospheric Environment, 42 (6): 1359--1369 (2008)
10 years ago by @becker
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sitc
modeling
urban
air
model
quality
pollution
sitcmodelingurbanairmodelqualitypollution
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1Entwicklung eines Bedienkonzeptes für Synthetic-Vision Darstellungen in hochagilen Flugzeugen
M. Domhardt. Fakultät für Maschinenbau, Technische Universität Ilmenau, Diplomarbeit, (2008)
12 years ago by @domi
show all tags
hochagil,
Defence
Air-to-Surface,
Eigenschaften,
Panoramic
interface,
human-machine
Aeronautic
Company,
OpenInventor,
Eurofighter,
Ilmenau,
TU
Synthetic
VAPS
Touchscreen,
Display,
OpenGL,
berührungsempfindliche,
Außenansicht,
Navigation,
Biomechatronik,
PanDis,
Military
myown
Space
Bedienkonzept,
Flugphasen,
Air-to-Air,
Security,
HMI,
Air
Vision,
Voreinstellung,
European
XT,
Flugzeuge,
Mechatronik,
Anzeige,
variable,
Maschinenbau,
Großflächendisplay,
Systems,
Mensch-Maschine-Schnittstelle,
EF-2000,
Synthetic-Vision,
EADS,
Defence,
Einstellbereiche,
künstliche
Diplomarbeit,
and
hochagil,DefenceAir-to-Surface,Eigenschaften,Panoramicinterface,human-machineAeronauticCompany,OpenInventor,Eurofighter,Ilmenau,TUSyntheticVAPSTouchscreen,Display,OpenGL,berührungsempfindliche,Außenansicht,Navigation,Biomechatronik,PanDis,MilitarymyownSpaceBedienkonzept,Flugphasen,Air-to-Air,Security,HMI,AirVision,Voreinstellung,EuropeanXT,Flugzeuge,Mechatronik,Anzeige,variable,Maschinenbau,Großflächendisplay,Systems,Mensch-Maschine-Schnittstelle,EF-2000,Synthetic-Vision,EADS,Defence,Einstellbereiche,künstlicheDiplomarbeit,and
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2An Integrated Architecture for Demand Response Communications and Control
M. LeMay, R. Nelli, G. Gross, and C. Gunter. HICSS '08: Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences, page 174. Washington, DC, USA, IEEE Computer Society, (2008)
16 years ago by @cschie
show all tags
energy
communications
usage
conditioning
response
air
control
demand
architecture
integrated
energycommunicationsusageconditioningresponseaircontroldemandarchitectureintegrated
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1Statistical comparisons of methods for interpolating the output of a numerical air quality model
X. Shao, M. Stein, and J. Ching. Journal of Statistical Planning and Inference, 137 (7): 2277--2293 (Jul 1, 2007)
17 years ago by @smicha
show all tags
Air
model
quality
Airmodelquality
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publications (hide)19
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