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Aden Iftin Janjane,Jackson Ndolo Muthini
Pág. 105 - 112
The logistics service industry has evolved quickly to deliver a variety of services including frequently outsourced warehousing, logistics, and freight forwarding, as well as value-added services which include; order management and fulfillment as well as...
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Marcos Winograd
Pág. Pág. 43 - 48
El autor relata sus impresiones y participación en el Concurso internacional ?Área de remodelación en el centro de Santiago de Chile, U.I.A. 1972? como miembro del jurado.
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Tania Álvarez-Yates, Alba Cuba-Dorado, Mario Iglesias-Caamaño, Virginia Serrano-Gómez, Fábio Yuzo Nakamura and Oscar García-García
The inclusion of women canoe in the Olympic Games reflects the growth and development that women have ahead of them in this modality. Therefore, the aim of this study was to explore sex and performance level differences in muscle contractile properties t...
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Asya Cooley
This exploratory study examined recent innovations in online accountability practices adopted by Ukrainian nonprofits. A quantitative content analysis of Ukrainian nonprofit websites evaluated their adoption of online accountability practices across five...
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Jiale Li, Jiayin Guo, Bo Li and Lingxin Meng
The deep learning method has been widely used in the engineering field. The availability of the training dataset is one of the most important limitations of the deep learning method. Accurate prediction of pavement performance plays a vital role in road ...
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Samiulhaq Wasiq and Amir Golroo
Road networks play a significant role in each country?s economy, especially in countries such as Afghanistan, which is strategically located in the international transit path from Europe to East Asia. In such a country, pavement performance models are fu...
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María Gema Carrasco-García, María Inmaculada Rodríguez-García, Juan Jesús Ruíz-Aguilar, Lipika Deka, David Elizondo and Ignacio José Turias Domínguez
Hyperspectral technology has been playing a leading role in monitoring oil spills in marine environments, which is an issue of international concern. In the case of monitoring oil spills in local areas, hyperspectral technology of small dimensions is the...
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Charalampos Skoulikaris
Large-scale hydrological modeling is an emerging approach in river hydrology, especially in regions with limited available data. This research focuses on evaluating the performance of two well-known large-scale hydrological models, namely E-HYPE and LISF...
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Imane El Bouazzaoui, Oumaima Lamhour, Yassine Ait Brahim, Adam Najmi and Blaïd Bougadir
In most parts of the world, groundwater is the main source of their water supply, particularly during periods of drought when surface water is scarce. As a result, groundwater drought is among the most worrying problems of our time. In order to shed ligh...
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Deepanjal Shrestha, Tan Wenan, Deepmala Shrestha, Neesha Rajkarnikar and Seung-Ryul Jeong
This study introduces a data-driven and machine-learning approach to design a personalized tourist recommendation system for Nepal. It examines key tourist attributes, such as demographics, behaviors, preferences, and satisfaction, to develop four sub-mo...
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