Self-feedback LSTM regression model for real-time particle source apportionment

2022 ◽  
Author(s):  
Wei Wang ◽  
Weiman Xu ◽  
Shuai Deng ◽  
Yimeng Chai ◽  
Ruoyu Ma ◽  
...  
Keyword(s):  
Regression Model ◽  
Real Time ◽  
Source Apportionment ◽  
Particle Source

Towards a Real-time System based on Regression Model to Evaluate Driver's Attention

2021 ◽  
Author(s):  
Thiago K. Lago ◽  
Ernesto Rodriguez Gonzalez ◽  
Miguel Elias M. Campista
Keyword(s):  
Regression Model ◽  
Real Time ◽  
Time System ◽  
Real Time System

Ambient Particle Source Apportionment and Daily Hospital Admissions among Children and Elderly in Copenhagen

Epidemiology ◽  
2006 ◽  
Vol 17 (Suppl) ◽  
pp. S200-S201 ◽  
Author(s):  
Z Jovanovic Andersen ◽  
P Wahlin ◽  
O Raaschou-Nielsen ◽  
T Scheike ◽  
Sloft
Keyword(s):  
Source Apportionment ◽  
Hospital Admissions ◽  
Particle Source ◽  
Ambient Particle

Receptor Modeling for Contaminant Particle Source Apportionment in Clean Rooms

1990 ◽  
Vol 12 (4) ◽  
pp. 805-812 ◽  
Author(s):  
Yi Tian ◽  
Pratim Biswas ◽  
Sotiris E. Pratsinis ◽  
Jin Jwang Wu
Keyword(s):  
Source Apportionment ◽  
Receptor Modeling ◽  
Particle Source ◽  
Contaminant Particle

scholarly journals Hybrid regression model for near real-time urban water demand forecasting

2017 ◽  
Vol 309 ◽  
pp. 532-541 ◽  
Author(s):  
Bruno M. Brentan ◽  
Edevar Luvizotto Jr. ◽  
Manuel Herrera ◽  
Joaquín Izquierdo ◽  
Rafael Pérez-García
Keyword(s):  
Regression Model ◽  
Real Time ◽  
Water Demand ◽  
Demand Forecasting ◽  
Urban Water ◽  
Water Demand Forecasting ◽  
Urban Water Demand

scholarly journals Real-time measurement and source apportionment of elements in Delhi's atmosphere

2020 ◽  
Vol 742 ◽  
pp. 140332 ◽  
Author(s):  
Pragati Rai ◽  
Markus Furger ◽  
Imad El Haddad ◽  
Varun Kumar ◽  
Liwei Wang ◽  
...  
Keyword(s):  
Real Time ◽  
Source Apportionment ◽  
Time Measurement ◽  
Real Time Measurement

scholarly journals The "dual-spot" Aethalometer: an improved measurement of aerosol black carbon with real-time loading compensation

2015 ◽  
Vol 8 (5) ◽  
pp. 1965-1979 ◽  
Author(s):  
L. Drinovec ◽  
G. Močnik ◽  
P. Zotter ◽  
A. S. H. Prévôt ◽  
C. Ruckstuhl ◽  
...  
Keyword(s):  
Real Time ◽  
Black Carbon ◽  
Source Apportionment ◽  
Accurate Determination ◽  
Optical Measurements ◽  
Quality Data ◽  
Loading Effect ◽  
Adverse Health Effects ◽  
Compensation Algorithm

Abstract. Aerosol black carbon is a unique primary tracer for combustion emissions. It affects the optical properties of the atmosphere and is recognized as the second most important anthropogenic forcing agent for climate change. It is the primary tracer for adverse health effects caused by air pollution. For the accurate determination of mass equivalent black carbon concentrations in the air and for source apportionment of the concentrations, optical measurements by filter-based absorption photometers must take into account the "filter loading effect". We present a new real-time loading effect compensation algorithm based on a two parallel spot measurement of optical absorption. This algorithm has been incorporated into the new Aethalometer model AE33. Intercomparison studies show excellent reproducibility of the AE33 measurements and very good agreement with post-processed data obtained using earlier Aethalometer models and other filter-based absorption photometers. The real-time loading effect compensation algorithm provides the high-quality data necessary for real-time source apportionment and for determination of the temporal variation of the compensation parameter k.

Real-time quantification and source apportionment of fine particulate matter including organics and elements in Delhi during summertime

2021 ◽  
pp. 118598
Author(s):  
Ashutosh K. Shukla ◽  
Vipul Lalchandani ◽  
Deepika Bhattu ◽  
Jay S. Dave ◽  
Pragati Rai ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Real Time ◽  
Source Apportionment ◽  
Fine Particulate Matter ◽  
Fine Particulate
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