becker > eva p2map

bookmarks (hide)9
display
all
bookmarks only
bookmarks per page
5
10
20
50
100
sort by
added at
title
RSS
BibTeX
XML

1senseBox | Die Kiste mit Sinn
https://sensebox.de/
6 years ago by @becker
show all tags
sensor
sensorbox
air
quality
box
p2map
eva
everyaware
pollution
project
sensorsensorboxairqualityboxp2mapevaeveryawarepollutionproject
(0)
copydelete
- community post
- history of this post
1User Impersonation with X-Pack: Integrating Third Party Auth with Kibana | Elastic
https://www.elastic.co/blog/user-impersonation-with-x-pack-integrating-third-party-auth-with-kibana
6 years ago by @becker
show all tags
kibana
security
p2map
eva
platform
database
permission
permissions
es
elasticsearch
elastic
search
xpack
oauth
oauth2
kibanasecurityp2mapevaplatformdatabasepermissionpermissionseselasticsearchelasticsearchxpackoauthoauth2
(0)
copydelete
- community post
- history of this post
1Using OAuth 2.0 with MQTT | Paul Fremantle's Blog
http://pzf.fremantle.org/2013/11/using-oauth-20-with-mqtt.html
6 years ago by @becker
show all tags
mqtt
oauth2
eva
p2map
everyaware
oauth
mqttoauth2evap2mapeveryawareoauth
(0)
copydelete
- community post
- history of this post
2Feinstaubalarm in Stuttgart? | Live-Messwerte Stuttgart & Region - Stuttgarter Zeitung
https://scicar409635912018.sched.com/event/FmNX
6 years ago by @becker
show all tags
air
data
dataset
eva
everyaware
germany
p2map
quality
set
airdatadatasetevaeveryawaregermanyp2mapqualityset
(0)
copydelete
- community post
- history of this post
1Air Quality Measures on the National Environmental Health Tracking Network - Data.gov
https://catalog.data.gov/dataset/air-quality-measures-on-the-national-environmental-health-tracking-network
6 years ago by @becker
show all tags
air
quality
p2map
data
set
dataset
gov
usa
eva
everyaware
airqualityp2mapdatasetdatasetgovusaevaeveryaware
(0)
copydelete
- community post
- history of this post

⟨⟨
⟨
1
2
⟩
⟩⟩

publications (hide)22
display
all
publications only
publications per page
5
10
20
50
100
sort by
added at
title
author
publication date
entry type
help for advanced sorting...
RSS
BibTeX
RDF
more...

5Air Trails--Urban Air Quality Campaign Exploration Patterns
M. Becker, F. Lautenschlager, and A. Hotho. Proceedings of VGI-ALIVE 2018 Workshop, colocated with AGILE 2018, (2018)
5 years ago by @becker
show all tags
air
bayes
bayesian
comparison
eva
everyaware
hyptrails
mixedtrails
model
myown
p2map
airbayesbayesiancomparisonevaeveryawarehyptrailsmixedtrailsmodelmyownp2map
(0)
copydeleteadd this publication to your clipboard
1From Google Maps to a fine-grained catalog of street trees
S. Branson, J. Wegner, D. Hall, N. Lang, K. Schindler, and P. Perona. ISPRS Journal of Photogrammetry and Remote Sensing, (2018)
6 years ago by @becker
show all tags
street
google
maps
map
tree
p2map
eva
visual
image
citedby:scholar:count:4
citedby:scholar:timestamp:2018-12-15
streetgooglemapsmaptreep2mapevavisualimagecitedby:scholar:count:4citedby:scholar:timestamp:2018-12-15
(0)
copydeleteadd this publication to your clipboard
4SCAN: Multi-Hop Calibration for Mobile Sensor Arrays
B. Maag, Z. Zhou, O. Saukh, and L. Thiele. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 1 (2): 19:1--19:21 (June 2017)
6 years ago by @becker
show all tags
array
box
calibration
eva
everyaware
hop
multi
no2
p2map
sensor
arrayboxcalibrationevaeveryawarehopmultino2p2mapsensor
(0)
copydeleteadd this publication to your clipboard
3W-Air: Enabling Personal Air Pollution Monitoring on Wearables
B. Maag, Z. Zhou, and L. Thiele. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2 (1): 24 (2018)
6 years ago by @becker
show all tags
p2map
air
quality
eva
everyaware
airprobe
airprobe2
calibration
nn
neural
network
p2mapairqualityevaeveryawareairprobeairprobe2calibrationnnneuralnetwork
(0)
copydeleteadd this publication to your clipboard
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
show all tags
2.5
air
bc
black
carbon
eva
map
mapping
model
p2map
pm
pm2.5
pm25
quality
school
2.5airbcblackcarbonevamapmappingmodelp2mappmpm2.5pm25qualityschool
(0)
copydeleteadd this publication to your clipboard
3A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations
W. Cheng, Y. Shen, Y. Zhu, and L. Huang. AAAI, (2018)
6 years ago by @becker
show all tags
air
attention
eva
everyaware
model
network
neural
nn
p2map
quality
airattentionevaeveryawaremodelnetworkneuralnnp2mapquality
(0)
copydeleteadd this publication to your clipboard
1Post-processing method to reduce noise while preserving high time resolution in aethalometer real-time black carbon data
G. Hagler, T. Yelverton, R. Vedantham, A. Hansen, and J. Turner. Aerosol and Air Quality Resarch, 11 (5): 539--546 (2011)
6 years ago by @becker
show all tags
p2map
eva
everyaware
ona
bc
black
carbon
ae51
aethalometer
calibration
smoothing
citedby:scholar:count:88
citedby:scholar:timestamp:2018-4-26
p2mapevaeveryawareonabcblackcarbonae51aethalometercalibrationsmoothingcitedby:scholar:count:88citedby:scholar:timestamp:2018-4-26
(0)
copydeleteadd this publication to your clipboard
2Self-Adaptive Revised Land Use Regression Models for Estimating PM2. 5 Concentrations in Beijing, China
L. Hu, J. Liu, and Z. He. Sustainability, 8 (8): 786 (2016)
6 years ago by @becker
show all tags
p2map
eva
osm
lur
land
use
regression
open
street
map
air
quality
pollution
prediction
linear
citedby:scholar:count:4
citedby:scholar:timestamp:2018-2-21
p2mapevaosmlurlanduseregressionopenstreetmapairqualitypollutionpredictionlinearcitedby:scholar:count:4citedby:scholar:timestamp:2018-2-21
(0)
copydeleteadd this publication to your clipboard
2Land use regression models for ultrafine particles in six European areas
E. van Nunen, R. Vermeulen, M. Tsai, N. Probst-Hensch, A. Ineichen, M. Davey, M. Imboden, R. Ducret-Stich, A. Naccarati, D. Raffaele and 1 other author(s). Environmental science & technology, 51 (6): 3336--3345 (2017)
6 years ago by @becker
show all tags
air
citedby:scholar:count:7
citedby:scholar:timestamp:2018-2-21
eva
features
land
lur
map
open
osm
p2map
pollution
quality
regression
street
use
aircitedby:scholar:count:7citedby:scholar:timestamp:2018-2-21evafeatureslandlurmapopenosmp2mappollutionqualityregressionstreetuse
(0)
copydeleteadd this publication to your clipboard
6Exploring the modeling of spatiotemporal variations in ambient air pollution within the land use regression framework: Estimation of PM10 concentrations on a daily basis
M. Alam, and A. McNabola. Journal of the Air & Waste Management Association, 65 (5): 628-640 (2015)PMID: 25947321.
6 years ago by @becker
show all tags
air
eva
features
land
lur
map
open
osm
p2map
pollution
prediction
quality
regression
roads
street
use
airevafeatureslandlurmapopenosmp2mappollutionpredictionqualityregressionroadsstreetuse
(0)
copydeleteadd this publication to your clipboard
3ADVANCING THE USE OF MOBILE MONITORING DATA FOR AIR POLLUTION MODELLING
M. Adams. (2015)
6 years ago by @becker
show all tags
lur
land
use
regression
air
quality
pollution
neural
networks
nn
prediction
p2map
eva
lurlanduseregressionairqualitypollutionneuralnetworksnnpredictionp2mapeva
(0)
copydeleteadd this publication to your clipboard
6Exploring the modeling of spatiotemporal variations in ambient air pollution within the land use regression framework: Estimation of PM10 concentrations on a daily basis
M. Alam, and A. McNabola. Journal of the Air & Waste Management Association, 65 (5): 628--640 (2015)
6 years ago by @becker
show all tags
lur
eva
p2map
nn
pm10
neural
network
land
use
regression
air
pollution
quality
non
parametric
citedby:scholar:count:7
citedby:scholar:timestamp:2018-2-21
lurevap2mapnnpm10neuralnetworklanduseregressionairpollutionqualitynonparametriccitedby:scholar:count:7citedby:scholar:timestamp:2018-2-21
(0)
copydeleteadd this publication to your clipboard
2Mapping real-time air pollution health risk for environmental management: combining mobile and stationary air pollution monitoring with neural network models
M. Adams, and P. Kanaroglou. Journal of environmental management, (2016)
6 years ago by @becker
show all tags
lur
land
use
regression
air
pollution
quality
eva
p2map
neural
network
nn
mobile
stationary
prediction
citedby:scholar:count:31
citedby:scholar:timestamp:2018-2-21
lurlanduseregressionairpollutionqualityevap2mapneuralnetworknnmobilestationarypredictioncitedby:scholar:count:31citedby:scholar:timestamp:2018-2-21
(0)
copydeleteadd this publication to your clipboard
3A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN
J. Fan, Q. Li, J. Hou, X. Feng, H. Karimian, and S. Lin. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (2017)
6 years ago by @becker
show all tags
air
deep
eva
land
lur
network
neural
nn
p2map
pollution
quality
regression
temporal
use
airdeepevalandlurnetworkneuralnnp2mappollutionqualityregressiontemporaluse
(0)
copydeleteadd this publication to your clipboard
1Land Use Random Forests for Estimation of Exposure to Elemental Components of Particulate Matter
R. Brokamp. University of Cincinnati, (2016)
6 years ago by @becker
show all tags
air
dissertation
eva
forest
land
learning
lur
lurf
machine
p2map
pm
pollution
quality
random
regression
use
variance
airdissertationevaforestlandlearninglurlurfmachinep2mappmpollutionqualityrandomregressionusevariance
(0)
copydeleteadd this publication to your clipboard
3Exposure assessment models for elemental components of particulate matter in an urban environment: A comparison of regression and random forest approaches
C. Brokamp, R. Jandarov, M. Rao, G. LeMasters, and P. Ryan. Atmospheric Environment, (2017)
6 years ago by @becker
show all tags
air
citedby:scholar:count:11
citedby:scholar:timestamp:2018-2-21
comparison
eva
forest
land
learning
linear
lur
machine
ml
p2map
pollution
quality
random
regression
use
aircitedby:scholar:count:11citedby:scholar:timestamp:2018-2-21comparisonevaforestlandlearninglinearlurmachinemlp2mappollutionqualityrandomregressionuse
(0)
copydeleteadd this publication to your clipboard
4Air pollution mapping using nonlinear land use regression models
A. Champendal, M. Kanevski, and P. Huguenot. International Conference on Computational Science and Its Applications, page 682--690. Springer, (2014)
6 years ago by @becker
show all tags
citedby:scholar:count:6
citedby:scholar:timestamp:2018-2-21
eva
forest
land
lur
network
neural
p2map
random
regression
use
citedby:scholar:count:6citedby:scholar:timestamp:2018-2-21evaforestlandlurnetworkneuralp2maprandomregressionuse
(0)
copydeleteadd this publication to your clipboard
2SPITFIRE: toward a semantic web of things
D. Pfisterer, K. Romer, D. Bimschas, O. Kleine, R. Mietz, C. Truong, H. Hasemann, A. Kröller, M. Pagel, M. Hauswirth and 1 other author(s). IEEE Communications Magazine, 49 (11): 40--48 (2011)
6 years ago by @becker
show all tags
semantic
p2map
eva
everyaware
sensors
sensor
iot
web
internet
of
things
semantics
citedby:scholar:count:251
citedby:scholar:timestamp:2018-2-5
semanticp2mapevaeveryawaresensorssensoriotwebinternetofthingssemanticscitedby:scholar:count:251citedby:scholar:timestamp:2018-2-5
(0)
copydeleteadd this publication to your clipboard
4Multiple Images of the City: Unveiling Group-Specific Urban Perceptions through a Crowdsourcing Game
D. Candeia, F. Figueiredo, N. Andrade, and D. Quercia. Proceedings of the 28th ACM Conference on Hypertext and Social Media, page 135--144. ACM, (2017)
7 years ago by @becker
show all tags
crowdsourcing
data
eva
everyaware
human
image
images
p2map
perception
photos
subjective
toread
urban
crowdsourcingdataevaeveryawarehumanimageimagesp2mapperceptionphotossubjectivetoreadurban
(0)
copydeleteadd this publication to your clipboard
2Extending Participatory Sensing to Personal Exposure Using Microscopic Land Use Regression Models
L. Dekoninck, D. Botteldooren, and L. Int Panis. International Journal of Environmental Research and Public Health, 14 (6): 586 (2017)
7 years ago by @becker
show all tags
p2map
land
use
regression
lur
participatory
sensing
ps
everyaware
eva
p2maplanduseregressionlurparticipatorysensingpseveryawareeva
(0)
copydeleteadd this publication to your clipboard

⟨⟨
⟨
1
2
⟩
⟩⟩

BibSonomy

bookmarks (hide)9
display
all
bookmarks only
bookmarks per page
5
10
20
50
100
sort by
added at
title
RSS
BibTeX
XML

1senseBox | Die Kiste mit Sinn

1User Impersonation with X-Pack: Integrating Third Party Auth with Kibana | Elastic

1Using OAuth 2.0 with MQTT | Paul Fremantle's Blog

2Feinstaubalarm in Stuttgart? | Live-Messwerte Stuttgart & Region - Stuttgarter Zeitung

1Air Quality Measures on the National Environmental Health Tracking Network - Data.gov

publications (hide)22
display
all
publications only
publications per page
5
10
20
50
100
sort by
added at
title
author
publication date
entry type
help for advanced sorting...
RSS
BibTeX
RDF
more...

5Air Trails--Urban Air Quality Campaign Exploration Patterns

1From Google Maps to a fine-grained catalog of street trees

4SCAN: Multi-Hop Calibration for Mobile Sensor Arrays

3W-Air: Enabling Personal Air Pollution Monitoring on Wearables

2Variability in and Agreement between Modeled and Personal Continuously Measured Black Carbon Levels Using Novel Smartphone and Sensor Technologies

3A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations

1Post-processing method to reduce noise while preserving high time resolution in aethalometer real-time black carbon data

2Self-Adaptive Revised Land Use Regression Models for Estimating PM2. 5 Concentrations in Beijing, China

2Land use regression models for ultrafine particles in six European areas

6Exploring the modeling of spatiotemporal variations in ambient air pollution within the land use regression framework: Estimation of PM10 concentrations on a daily basis

3ADVANCING THE USE OF MOBILE MONITORING DATA FOR AIR POLLUTION MODELLING

6Exploring the modeling of spatiotemporal variations in ambient air pollution within the land use regression framework: Estimation of PM10 concentrations on a daily basis

2Mapping real-time air pollution health risk for environmental management: combining mobile and stationary air pollution monitoring with neural network models

3A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN

1Land Use Random Forests for Estimation of Exposure to Elemental Components of Particulate Matter

3Exposure assessment models for elemental components of particulate matter in an urban environment: A comparison of regression and random forest approaches

4Air pollution mapping using nonlinear land use regression models

2SPITFIRE: toward a semantic web of things

4Multiple Images of the City: Unveiling Group-Specific Urban Perceptions through a Crowdsourcing Game

2Extending Participatory Sensing to Personal Exposure Using Microscopic Land Use Regression Models

browse

related tags

concepts

tags

bookmarks (hide)9 displayallbookmarks onlybookmarks per page5102050100 sort byadded attitle RSSBibTeXXML

publications (hide)22 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

browse

related tags

tags

bookmarks (hide)9
display
all
bookmarks only
bookmarks per page
5
10
20
50
100
sort by
added at
title
RSS
BibTeX
XML

publications (hide)22
display
all
publications only
publications per page
5
10
20
50
100
sort by
added at
title
author
publication date
entry type
help for advanced sorting...
RSS
BibTeX
RDF
more...