Πλοήγηση ανά Θέμα "Linear regression"
Αποτελέσματα 1-4 από 4
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Assessing Durum Wheat Yield through Sentinel-2 Imagery: A Machine Learning Approach
(2022)Two modeling approaches for the estimation of durum wheat yield based on Sentinel-2 data are presented for 66 fields across three growing periods. In the first approach, a previously developed multiple linear regression ... -
Estimating downlink throughput from end-user measurements in mobile broadband networks
(2019)In recent years, Downlink (DL)throughput estimation in Mobile Broadband (MBB)networks has gained immense popularity and it is expected to become a vital component of the upcoming fifth generation (5G)systems. Plentiful ... -
A hybrid downscaling approach for the estimation of climate change effects on droughts using a geo-information tool. Case study: Thessaly, Central Greece
(2016)Multiple linear regression is used to downscale large-scale outputs from CGCM2 (second generation CGCM of Canadian centre for climate monitoring and analysis) and ECHAM5 (developed at the Max Planck Institute for Meteorology), ... -
Machine learning approaches for predicting health risk of cyanobacterial blooms in Northern European Lakes
(2020)Cyanobacterial blooms are considered a major threat to global water security with documented impacts on lake ecosystems and public health. Given that cyanobacteria possess highly adaptive traits that favor them to prevail ...