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2Mumble
https://www.mumble.info/
4 years ago by @nosebrain
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app
high
low
voice
latency
chat
source
free
open
quality
apphighlowvoicelatencychatsourcefreeopenquality
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1senseBox | Die Kiste mit Sinn
https://sensebox.de/
6 years ago by @becker
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sensorbox
everyaware
project
air
sensor
p2map
box
eva
quality
pollution
sensorboxeveryawareprojectairsensorp2mapboxevaqualitypollution
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2Feinstaubalarm in Stuttgart? | Live-Messwerte Stuttgart & Region - Stuttgarter Zeitung
https://scicar409635912018.sched.com/event/FmNX
6 years ago by @becker
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set
dataset
germany
data
everyaware
air
p2map
eva
quality
setdatasetgermanydataeveryawareairp2mapevaquality
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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
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set
dataset
usa
data
everyaware
air
p2map
gov
eva
quality
setdatasetusadataeveryawareairp2mapgovevaquality
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1London Air Quality Network » Annual Pollution Maps
https://www.londonair.org.uk/london/asp/annualmaps.asp
6 years ago by @becker
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dataset
data
air
map
p2map
model
london
quality
datasetdataairmapp2mapmodellondonquality
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1Luftverschmutzung in Stadtring Süd, Würzburg: Echtzeit-Karte des Luftqualitätsindex
http://aqicn.org/map/germany/bayern/wurzburg/stadtring-sud/de/
6 years ago by @becker
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everyaware
air
aqi
index
p2map
eva
quality
everyawareairaqiindexp2mapevaquality
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1Airnet: a Machine Learning Dataset for Air Quality Forecasting - Semantic Scholar
https://www.semanticscholar.org/paper/Airnet%3A-a-Machine-Learning-Dataset-for-Air-Quality-XTRACTION/57e9c34b0c0ca1f5510f2be161888730ac67e02e
6 years ago by @becker
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dataset
neural
air
lur
p2map
network
eva
quality
nn
pollution
datasetneuralairlurp2mapnetworkevaqualitynnpollution
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3luftdaten.info – Feinstaub selber messen – Open Data und Citizen Science aus Stuttgart
http://luftdaten.info/
7 years ago by @becker
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code
everyaware
air
codefor
arduino
p2map
scicar
eva
quality
platform
codeeveryawareaircodeforarduinop2mapscicarevaqualityplatform
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1Daten | Umweltbundesamt
Contact: Neuberger * Are the raw data available? * Are the models available (as shown on maps)?
7 years ago by @becker
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environment
earth
data
air
scicar
quality
environmentearthdataairscicarquality
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1stefanw/gba_qualitaetsberichte
https://github.com/stefanw/gba_qualitaetsberichte
7 years ago by @becker
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library
code
gba
lib
data
xml
scicar
quality
report
hospital
librarycodegbalibdataxmlscicarqualityreporthospital
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1Air Quality Sensor Makes a Fashion Statement : TreeHugger
http://www.treehugger.com/clean-technology/air-quality-sensor-makes-a-fashion-statement.html
7 years ago by @becker
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sensorbox
air
sensor
quality
pollution
sensorboxairsensorqualitypollution
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2Worldwide Air Pollution Map and live air quality levels
Follow air quality in your city in real-time, and protect yourself from pollution thanks to our personalized advice and hourly forecasts.
9 years ago by @hotho
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everyaware
air
quality
pollution
everyawareairqualitypollution
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1Common Sense — Mobile sensing for community action
http://www.communitysensing.org/index.php
9 years ago by @becker
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sensing
eva21
everyaware
air
collective
eva
quality
participatory
sensingeva21everyawareaircollectiveevaqualityparticipatory
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2Public/Publications – OpenSense
http://www.opensense.ethz.ch/trac/wiki/Public/Publications
9 years ago by @becker
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eva21
air
opensense
airprobe
quality
eva21airopensenseairprobequality
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1Air Quality Modeling
http://www.aqbook.org/read/?page=248
9 years ago by @becker
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modeling
book
air
model
eva
quality
modelingbookairmodelevaquality
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1Göttingen, Germany Air Pollution: Real-time PM2.5 Air Quality Index (AQI)
http://aqicn.org/city/germany/niedersachsen/gottingen/#map
9 years ago by @hotho
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visualization
data
everyaware
air
quality
visualizationdataeveryawareairquality
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1Indoor air quality monitoring & health...
https://forum.quantifiedself.com/thread-indoor-air-quality-monitoring-health
10 years ago by @becker
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co2
2014
indoor
project
air
eva
quality
co22014indoorprojectairevaquality
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1A Goofy Wearable That Tracks the Air Quality Around You | WIRED
http://www.wired.com/2014/11/goofy-wearable-tracks-air-quality-around/
10 years ago by @becker
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air
sensor
box
aircasting
airprobe
quality
airsensorboxaircastingairprobequality
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2Public/Publications – OpenSense
http://www.opensense.ethz.ch/trac/wiki/Public/Publications
10 years ago by @hotho
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urban
airpollution
everyaware
project
air
opensense
quality
urbanairpollutioneveryawareprojectairopensensequality
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1AirPi Air Quality & Weather Project
http://airpi.es/
11 years ago by @nosebrain
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raspberry
AirPi
pi
air
quality
weather
raspberryAirPipiairqualityweather
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publications (hide)54
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2Sensing the air we breathe—the OpenSense Zurich dataset
J. Li, B. Faltings, O. Saukh, D. Hasenfratz, and J. Beutel. Twenty-Sixth AAAI Conference on Artificial Intelligence, (2012)
2 years ago by @msteininger
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dataset
zurich
air
opensense
quality
pollution
datasetzurichairopensensequalitypollution
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1Deep-AIR: A hybrid CNN-LSTM framework for Fine-grained air pollution forecast
Q. Zhang, J. Lam, V. Li, and Y. Han. arXiv preprint arXiv:2001.11957, (2020)
2 years ago by @msteininger
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cnn
air
forecast
lstm
quality
pollution
cnnairforecastlstmqualitypollution
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1Prediction of air quality based on KNN-LSTM
Z. Qin, C. Cen, and X. Guo. Journal of Physics: Conference Series, 1237, page 042030. IOP Publishing, (2019)
2 years ago by @msteininger
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air
forecast
knn
lstm
quality
airforecastknnlstmquality
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1A novel method for identifying hotspots and forecasting air quality through an adaptive utilization of spatio-temporal information of multiple factors
G. Shi, Y. Leung, J. Zhang, T. Fung, F. Du, and Y. Zhou. Science of The Total Environment, (2021)
2 years ago by @msteininger
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air
attention
forecast
lstm
quality
spatio-temporal
airattentionforecastlstmqualityspatio-temporal
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13OpenLUR: 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 @becker
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automl
project:bmbf
myown
use
everyaware
air
lur
quality
eva
optimization
bayes
regression
land
open
automlproject:bmbfmyownuseeveryawareairlurqualityevaoptimizationbayesregressionlandopen
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12MapLUR: 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)
4 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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1Towards the Semantic Enrichment of Free-Text Annotation of Image Quality Assessment for UK Biobank Cardiac Cine MRI Scans
V. Carapella, E. Jiménez-Ruiz, E. Lukaschuk, N. Aung, K. Fung, J. Paiva, M. Sanghvi, S. Neubauer, S. Petersen, I. Horrocks and 1 other author(s). Deep Learning and Data Labeling for Medical Applications, page 238--248. Cham, Springer International Publishing, (2016)
5 years ago by @nosebrain
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image
annotation
uk
text
biobank
proposal:dzhi
free
quality
imageannotationuktextbiobankproposal:dzhifreequality
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1Analysing the performance of low-cost air quality sensors, their drivers, relative benefits and calibration in cities---a case study in Sheffield
S. Munir, M. Mayfield, D. Coca, S. Jubb, and O. Osammor. Environmental Monitoring and Assessment, 191 (2): 94 (Jan 22, 2019)
5 years ago by @becker
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sensors
emote
evaluation
test
air
review
sensor
plolution
eva
quality
sensorsemoteevaluationtestairreviewsensorplolutionevaquality
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2Feature Analysis for Assessing the Quality of Wikipedia Articles through Supervised Classification
E. Bassani, and M. Viviani. arXiv preprint arXiv:1812.02655, (2018)
5 years ago by @thoni
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wikipedia
article
quality
classification
wikipediaarticlequalityclassification
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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
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airprobe2
neural
everyaware
air
p2map
network
airprobe
eva
calibration
quality
nn
airprobe2neuraleveryawareairp2mapnetworkairprobeevacalibrationqualitynn
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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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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
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neural
everyaware
air
attention
p2map
model
network
eva
quality
nn
neuraleveryawareairattentionp2mapmodelnetworkevaqualitynn
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3Big-Data Helps SDN to Improve Application Specific Quality of Service
S. Schwarzmann, A. Blenk, O. Dobrijevic, M. Jarschel, A. Hotho, T. Zinner, and F. Wamser. Big Data and Software Defined Networks, IET, (2018)
6 years ago by @hotho
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myown
2018
data
service
network
sdn
big
quality
myown2018dataservicenetworksdnbigquality
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3Machine learning and air quality modeling
C. Keller, M. Evans, J. Kutz, and S. Pawson. Big Data (Big Data), 2017 IEEE International Conference on, page 4570--4576. IEEE, (2017)
6 years ago by @becker
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random
forest
machine
air
learning
p2map
quality
pollution
randomforestmachineairlearningp2mapqualitypollution
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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
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linear
use
air
osm
lur
quality
eva
pollution
citedby:scholar:count:4
regression
street
land
prediction
citedby:scholar:timestamp:2018-2-21
map
p2map
open
linearuseairosmlurqualityevapollutioncitedby:scholar:count:4regressionstreetlandpredictioncitedby:scholar:timestamp:2018-2-21mapp2mapopen
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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
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use
air
lur
osm
citedby:scholar:count:7
quality
eva
pollution
features
regression
street
land
citedby:scholar:timestamp:2018-2-21
map
p2map
open
useairlurosmcitedby:scholar:count:7qualityevapollutionfeaturesregressionstreetlandcitedby:scholar:timestamp:2018-2-21mapp2mapopen
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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
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use
roads
air
lur
osm
quality
eva
pollution
features
regression
street
land
prediction
map
p2map
open
useroadsairlurosmqualityevapollutionfeaturesregressionstreetlandpredictionmapp2mapopen
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3ADVANCING THE USE OF MOBILE MONITORING DATA FOR AIR POLLUTION MODELLING
M. Adams. (2015)
6 years ago by @becker
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neural
use
air
lur
networks
quality
eva
pollution
regression
land
prediction
p2map
nn
neuraluseairlurnetworksqualityevapollutionregressionlandpredictionp2mapnn
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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
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neural
use
air
lur
citedby:scholar:count:7
network
non
quality
eva
pm10
pollution
regression
parametric
land
citedby:scholar:timestamp:2018-2-21
p2map
nn
neuraluseairlurcitedby:scholar:count:7networknonqualityevapm10pollutionregressionparametriclandcitedby:scholar:timestamp:2018-2-21p2mapnn
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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
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citedby:scholar:count:31
neural
use
air
lur
mobile
network
quality
eva
pollution
stationary
regression
land
prediction
citedby:scholar:timestamp:2018-2-21
p2map
nn
citedby:scholar:count:31neuraluseairlurmobilenetworkqualityevapollutionstationaryregressionlandpredictioncitedby:scholar:timestamp:2018-2-21p2mapnn
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