Results 101 to 110 of about 70,613 (293)

Exploring Insights of an Evaluation of a Meteorology & Oceanography Program for Training Navy Officers

open access: yesBusiness 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   +2 more
openaire   +3 more sources

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

open access: yesEnergy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom   +2 more
wiley   +1 more source

Air pollution exposure during training impairs performance in Thoroughbred racehorses

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Ambient air pollution contributes substantially to human morbidity and mortality, and athletes are recognised as a particularly vulnerable group. However, little is known about the impact of air pollution on equine athletes. Objectives To explore the relationship between air pollution exposure during the pre‐competition training ...
Danielle Scott   +4 more
wiley   +1 more source

Adaptability evaluation of the FIRST model in Hobq Desert, northern China

open access: yesFrontiers in Earth Science
Obtaining high temporal and spatial resolution spectral data is the key to revealing the influencing factors, effects, and mechanisms of land-atmosphere interactions in deserts.
Xinqian Zheng   +6 more
doaj   +1 more source

Spartan Daily, October 23, 2006 [PDF]

open access: yes, 2006
Volume 127, Issue 32https://scholarworks.sjsu.edu/spartandaily/10290/thumbnail ...
San Jose State University, School of Journalism and Mass Communications
core   +2 more sources

Research on the Training System Construction of Meteorological Higher Talents for Lifelong Education

open access: yesWorld Journal of Social Science Research, 2022
Meteorological education and training is an important way for the growth of meteorological talents. Exploring and studying how to build a meteorological higher talent education and training system that meets the needs of lifelong education is of great significance to solve the talent guarantee for the sustainable development of meteorological ...
openaire   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das   +2 more
wiley   +1 more source

Spartan Daily, November 7, 1980 [PDF]

open access: yes, 1980
Volume 75, Issue 49https://scholarworks.sjsu.edu/spartandaily/6685/thumbnail ...
San Jose State University, School of Journalism and Mass Communications
core   +3 more sources

Meteorological Input to General Aviation Pilot Training [PDF]

open access: yes
The meteorological education of general aviation pilots is discussed in terms of the definitions and concepts of learning and good educational procedures.
Colomy, J. R.
core   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

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