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Fan Zhou, Jing Liu, Hang Zhu, Xiaodong Yang and Yunli Fan
The lack of techniques for monitoring ship emissions all day and in all weather conditions to obtain real-time emission factor values is the main problem in understanding the characteristics of ship emissions, and there is still no perfect solution. In t...
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Francisco Andree Ramírez Casas, Laxmi Sushama and Bernardo Teufel
The development of a computationally efficient machine learning-based framework to understand the underlying causes for biases in climate model simulated fields is presented in this study. The framework consists of a two-step approach, with the first ste...
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Wooyeon Sunwoo, Minha Choi
Pág. 1 - 20
Runoff prediction in limited-data areas is vital for hydrological applications, such as the design of infrastructure and flood defenses, runoff forecasting, and water management. Rainfall?runoff models may be useful for simulation of runoff generation, p...
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Jhon Zartha Sossa, Juan Montes Hincapié, Elva Vargas Martínez, Oscar Arias Londoño, José Hoyos Concha
Pág. 17
The article presents an application of the soft systems methodology- SSM on a problem related to the Delphi Method and its alignment with an innovation strategy in the framework of a management model innovation, in order to generate an improved problem. ...
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Luciana de Deus Chagas,Sely Maria de Souza Costa
O estudo reporta resultados de pesquisa que aborda o tema da efetividade do processo de comunicação organizacional do qual fazem parte o sítio web da Unidade Técnica de Sistemas e Serviços de Saúde da Organização Pan-Americana da Saúde (HSD/OPAS), com pa...
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