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Overcoming Data Limitations in Sub-Daily Rainfall Simulation

The need for long-term synthetic sub-daily rainfall time series is crucial in various hydrological applications, particularly in flood frequency analysis. Traditional sub-daily rainfall simulation models rely on high time-resolution data, typically spanning only 20–30 years, which is insufficient for generating the long synthetic time series ...
Salvatore Grimaldi   +6 more
openaire   +1 more source

Innovations in research and clinical care using patient‐generated health data

Ca-A Cancer Journal for Clinicians, 2020
H S L Jim   +2 more
exaly  

Learning-Based Robot Control in Data-Limited Environments

Manufacturing plays a key role in the economy, and robotics plays a key role in manufacturing. Developments in both areas are soaring, driven in part by growing caches of data and increasingly intelligent algorithms that capitalize on data. However, there remains a misalignment between the pace of robotic advancement and the ability of industry to ...
openaire   +2 more sources

Worldwide Variations in Colorectal Cancer

Ca-A Cancer Journal for Clinicians, 2009
Ahmedin Jemal
exaly  

Overcoming data limitations for store choice modelling.

Journal of Retailing and Consumer Services, 2002
openaire   +1 more source

Overcoming Data Limitations: Reliable Fisheries Assessment in ‘Data-Limited’ Scenarios

Alfonso Medellin - Ortiz   +2 more
openaire   +1 more source

The burden of rare cancers in the United States

Ca-A Cancer Journal for Clinicians, 2017
Carol E Desantis
exaly  

Clinical highlights from the National Cancer Data Base, 1999

Ca-A Cancer Journal for Clinicians, 1999
exaly  

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