Articles with "prediction systems" as a keyword



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Evaluating the applicability of using daily forecasts from seasonal prediction systems (SPSs) for agriculture: a case study of Nepal’s Terai with the NCEP CFSv2

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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… read more here.

Keywords: cfsv2; seasonal prediction; nepal terai; systems spss ... See more keywords
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Feature selection in machine learning prediction systems for renewable energy applications

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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… read more here.

Keywords: renewable energy; selection; feature selection; prediction systems ... See more keywords
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Evaluation of the Skill of Monthly Precipitation Forecasts from Global Prediction Systems over the Greater Horn of Africa

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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… read more here.

Keywords: prediction systems; prediction; greater horn; global prediction ... See more keywords
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A prospective study to examine the accuracies and efficacies of prediction systems for response to neoadjuvant chemotherapy for muscle invasive bladder cancer

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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.… read more here.

Keywords: response; group; study; muscle invasive ... See more keywords