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Found 7 papers, 0 papers with code
PlumeCityNet: Multi-Resolution Air Quality Forecasting
Then, the engine is based on a U-Net architecture built with several of those blocks, giving it the ability to process inputs and to output predictions at different resolutions.
High-Resolution Air Quality Prediction Using Low-Cost Sensors
An other strong conclusion is that in some areas with a high density of low-cost sensors, the engine performs better when fed with low-cost sensors' measurements only than when fed with official monitoring stations' measurements only: this suggests that an air quality monitoring network composed of low-cost sensors is effective in monitoring air quality.
PlumeNet: Large-Scale Air Quality Forecasting Using A Convolutional LSTM Network
This paper presents an engine able to forecast jointly the concentrations of the main pollutants harming people's health: nitrogen dioxyde (NO2), ozone (O3) and particulate matter (PM2. 5 and PM10, which are respectively the particles whose diameters are below 2. 5 um and 10 um respectively).
Real-Time Optimization Of Web Publisher RTB Revenues
The real-world challenges we had to tackle consist mainly of tracking the dependencies on both the user and placement in an highly non-stationary environment and of dealing with censored bid observations.
Optimal Allocation of Real-Time-Bidding and Direct Campaigns
The optimal strategy gives a formula to determine the publisher bid as well as a way to choose the direct campaign being delivered if the publisher bidder wins the auction, depending on the impression characteristics.
DeepPlume: Very High Resolution Real-Time Air Quality Mapping
Plume Labs has deployed a similar prediction engine to build several products aiming at providing air quality data to individuals and businesses.
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling
The SSP acts as an intermediary between an advertiser wanting to buy ad spaces and a web publisher wanting to sell its ad spaces, and needs to define a bidding strategy to be able to deliver to the advertisers as many ads as possible while spending as little as possible.
