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OPERANDUM Training Materials: Nature-based Solutions for Hydro-Meteorological Hazards
, 2022 The OPERANDUM training materials aim to emphasize the knowledge generated through the EU-funded OPERANDUM project and promote the uptake of Nature-based Solutions for hydro-meteorological hazards in Europe and beyond. Embedded in a series of training units, the materials address common knowledge gaps and highlight lessons learned from the NBS co ...
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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 +2 more
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Overview of NASA's programs [PDF]
, 1985 An overview of some of NASA's aviation related programs is presented. The areas discussed include: (1) severe storms; (2) clear air turbulence; (3) icing; (4) fog; and (5) landing ...
Tobiason, A. R.
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Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture
Advanced Science, EarlyView.This article reviews the current system architectures for smart agriculture and proposes a blockchain‐empowered hierarchical cyber‐physical system (H‐CPS) framework. It discusses the challenges and outlines future research directions, including the use of semantic blockchain to handle complex data and models.
Xiaoding Wang +8 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.
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Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning
Advanced Energy and Sustainability Research, EarlyView.Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio +2 more
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Digital Technologies: Description, Classification, and Links to Circular Economy
Business Strategy and the Environment, EarlyView.ABSTRACT Digital technologies (DTs) and circular economy (CE) are currently two topics that are expected to contribute significantly to sustainable development, and digitization is generally considered a key enabler of CE. However, most studies only cover the most known Industry 4.0 technologies, and very limited research detailing how DTs can support ...
Laura Piedra‐Muñoz +3 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 ...
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Weather instruments all at sea: meteorology and the Royal Navy in the nineteenth century [PDF]
, 2015 No abstract ...
Naylor, Simon
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, 2006 In the present research, possibility of predicting average summer-monsoon rainfall over India has been analyzed through Artificial Neural Network models.
A.J. Matthews +40 more
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