Results 21 to 30 of about 3,353,461 (362)

RDIS: Random Drop Imputation With Self-Training for Incomplete Time Series Data [PDF]

IEEE Access, 2023
Time-series data with missing values are a common occurrence in various fields, including healthcare, meteorology, and robotics. The process of imputation aims to fill in the missing values with valid values.
Tae-Min Choi, Ji-Su Kang, Jong-Hwan Kim
doaj   +2 more sources

Application of intelligent time series prediction method to dew point forecast

Electronic Research Archive, 2023
With the rapid development of meteorology, there requires a great need to better forecast dew point temperatures contributing to mild building surface and rational chemical control, while researches on time series forecasting barely catch the attention ...
Dongbao Jia, Zhongxun Xu, Yichen Wang, Rui Ma, Wenzheng Jiang, Yalong Qian, Qianjin Wang, Weixiang Xu   +7 more
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Exploring Insights of an Evaluation of a Meteorology & Oceanography Program for Training Navy Officers

Business and Economic Research, 2013
The evaluation of training programs to determine effective strategies for improving performance is a priority in business and military environments.  Improved performance is a paramount interest for organizations dependent on training for preparing employees.  This evaluation study consisted of a one-group pre-posttest quantitative research design with
Wayne Aaberg, Carla Thompson, Mark Shaffer   +2 more
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Using the ECMWF OpenIFS model and state-of-the-art training techniques in meteorological education [PDF]

Advances in Science and Research, 2019
Abstract. The OpenIFS programme of the European Centre for Medium-Range Weather Forecasts (ECMWF) maintains a version of the ECMWF forecast model (IFS; Integrated Forecasting System) for use in education and research at universities, national meteorological services and other institutes.
G. Szépszó, G. Szépszó, V. Sinclair, G. Carver   +3 more
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International Meteorological and Hydrological Training and Its Evaluation at WMO RTC Nanjing

Procedia Environmental Sciences, 2012
AbstractThis paper deals with the international meteorological and hydrological training issue and its evaluation approach based on the teaching practice and experience during last twenty years at World Meteorological Organization Regional Training Centre (WMO RTC) in Nanjing.
Wen Chen, Yong Wang, Ling Zhang, Hao Yang, Xiefei Zhi   +4 more
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Training program in meteorology for Latin‐American students

Eos, Transactions American Geophysical Union, 1944
The primary objectives of the Training Program in Meteorology for Latin‐American students were threefold:(1) To accelerate the development of meteorological sciences in the countries south of the Rio Grande, which, in turn, would benefit weather service in the United States.(2) To increase the safety of flying in Latin America, particularly for ...
Charles F. Sarle
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Integration of sentinel surveillance and climate factors to accelerate malaria elimination in a changing climate of Senegal [PDF]

Science in One Health
Background: Senegal is located in a malaria-endemic zone. Malaria is a highly climate-sensitive vector-borne disease, yet its sentinel surveillance shows a weak integration of malaria morbidity data with climatic factors.
Ibrahima Mamby Keita, Mariama Diouf, Medoune Ndiop, Boly Diop, Khaly Gueye, Marianne Kouawo, Ousmane Ndiaye, Doudou Sene, Elhadji Mamadou Ndiaye, Marie Khemesse Ngom Ndiaye   +9 more
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Inter‐American program for training in meteorology

Eos, Transactions American Geophysical Union, 1943
The remarkable advance made in the science of meteorology since World War No. 1 was made possible by the rapid development of aviation. With this development, increasing demands for greater frequency, accuracy, and coverage of weather information have resulted in increased budgets for meteorological work.
R. Hanson Weightman
openaire   +3 more sources

A prediction rigidity formalism for low-cost uncertainties in trained neural networks [PDF]

Machine Learning: Science and Technology
Quantifying the uncertainty of regression models is essential to ensure their reliability, particularly since their application often extends beyond their training domain.
Filippo Bigi, Sanggyu Chong, Michele Ceriotti, Federico Grasselli   +3 more
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Prediction of Sea Surface Temperature by Combining Interdimensional and Self-Attention with Neural Networks

Remote Sensing, 2022
Sea surface temperature (SST) is one of the most important and widely used physical parameters for oceanography and meteorology. To obtain SST, in addition to direct measurement, remote sensing, and numerical models, a variety of data-driven models have ...
Xing Guo, Jianghai He, Biao Wang, Jiaji Wu   +3 more
doaj   +2 more sources