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Jae Young Seo and Sang-Il Lee
Drought is a complex phenomenon caused by lack of precipitation that affects water resources and human society. Groundwater drought is difficult to assess due to its complexity and the lack of spatio-temporal groundwater observations. In this study, we p...
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Carlo Ciaponi, Enrico Creaco, Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Dino Musmarra and Giovanni Francesco Santonastaso
This paper proposes a combined management strategy for monitoring water distribution networks (WDNs). This strategy is based on the application of water network partitioning (WNP) for the creation of district metered areas (DMAs) and on the installation ...
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Tao Tang, Shuhan Guo, Lu Tan, Tao Li, Ryan M. Burrows and Qinghua Cai
Although most lotic ecosystems are groundwater dependent, our knowledge on the relatively long-term ecological effects of groundwater discharge on downstream reaches remains limited. We surveyed four connected reaches of a Chinese karst stream network fo...
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S. Rahma, R. A. E. Putra
Pág. 76 - 83
The main role of a transportation network is providing optimum services for transportation network. Over the time, the population is increasing and the needs of reliable transportation network also increased. Transportation network consists of node and c...
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Dragan Pamucar, Nikola Kne?evic, Dragana Macura, Boban Ðorovic
Research Question: The paper explores the problem of defining the number of required employees and their skills, as well as optimizing the work time. Motivation: Motivation for this paper arises from the fact that an organizational structure of business ...
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Maryke A. Mihai
Pág. 10 bladsye
The purpose of this study was to describe the management challenges and the type of management approach that developed during the implementation of an ICT network between six schools, transmitting Maths and Science lessons for grade 12 learners. In ...
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Chenglin Yang, Dongliang Xu and Xiao Ma
Due to the increasing severity of network security issues, training corresponding detection models requires large datasets. In this work, we propose a novel method based on generative adversarial networks to synthesize network data traffic. We introduced...
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Dibo Dong, Shangwei Wang, Qiaoying Guo, Yiting Ding, Xing Li and Zicheng You
Predicting wind speed over the ocean is difficult due to the unequal distribution of buoy stations and the occasional fluctuations in the wind field. This study proposes a dynamic graph embedding-based graph neural network?long short-term memory joint fr...
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Lei Yang, Mengxue Xu and Yunan He
Convolutional Neural Networks (CNNs) have become essential in deep learning applications, especially in computer vision, yet their complex internal mechanisms pose significant challenges to interpretability, crucial for ethical applications. Addressing t...
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Íñigo Manuel Iglesias-Sanfeliz Cubero, Andrés Meana-Fernández, Juan Carlos Ríos-Fernández, Thomas Ackermann and Antonio José Gutiérrez-Trashorras
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