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Published in 2018 at "Theoretical and Applied Climatology"
DOI: 10.1007/s00704-018-2433-5
Abstract: Ensemble forecasts from dynamic seasonal prediction systems (SPSs) have the potential to improve decision-making for crop management to help cope with interannual weather variability. Because the reliability of crop yield predictions based on seasonal weather…
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Keywords:
cfsv2;
seasonal prediction;
nepal terai;
systems spss ... See more keywords
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Published in 2018 at "Renewable and Sustainable Energy Reviews"
DOI: 10.1016/j.rser.2018.04.008
Abstract: Abstract This paper focuses on feature selection problems that arise in renewable energy applications. Feature selection is an important problem in machine learning, both in classification and regression problems. In renewable energy systems, feature selection…
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Keywords:
renewable energy;
selection;
feature selection;
prediction systems ... See more keywords
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Published in 2021 at "Weather and Forecasting"
DOI: 10.1175/waf-d-20-0177.1
Abstract: The skill of precipitation forecasts from global prediction systems has a strong regional and seasonal dependence. Quantifying the skill of models for different regions and timescales is important, not only to improve forecast skill, but…
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Keywords:
prediction systems;
prediction;
greater horn;
global prediction ... See more keywords
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Published in 2018 at "Oncology Letters"
DOI: 10.3892/ol.2018.9330
Abstract: The present study established systems to predict the chemo-sensitivity of muscle invasive bladder cancer (MIBC) for neoadjuvant chemotherapy (NAC) with methotrexate, vinblastine, doxorubicin plus cisplatin (M-VAC) and carboplatin plus gemcitabine (CaG) by analyzing microarray data.…
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Keywords:
response;
group;
study;
muscle invasive ... See more keywords