Browsing by Subject "Predictive models"
Now showing items 1-4 of 4
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Atlantes: Automated Health Related & COVID-19 Data Management for Use in Predictive Models
(2022)The scientific community, having turned its interest, almost entirely, to the treatment and understanding of COVID-19, is constantly striving to collect and use data from the countless available sources. That data, however, ... -
A Baselined Gated Attention Recurrent Network for Request Prediction in Ridesharing
(2022)Ridesharing has received global popularity due to its convenience and cost efficiency for both drivers and passengers and its strong potential to contribute to the implementation of the UN Sustainable Development Goals. ... -
Developing THMs' predictive models in two water supply systems in Greece
(2020)Disinfection is a very significant water treatment process for drinking water safety, as it inactivates pathogens from drinking water. However, disinfection-by-products (DBPs) are formed which are accused of contributing ... -
Wasserstein Generative Adversarial Network to Address the Imbalanced Data Problem in Real-Time Crash Risk Prediction
(2022)Real-time crash risk prediction models aim to identify pre-crash conditions as part of active traffic safety management. However, traditional models which were mainly developed through matched case-control sampling have ...