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Thi Hanh Tien Nguyen, Gert Everaert, Pieter Boets, Marie Anne Eurie Forio, Elina Bennetsen, Martin Volk, Thu Huong Thi Hoang and Peter L. M. Goethals
We critically analyzed a set of ecological models that are used to assess the impact of hydropower dams on water quality and habitat suitability for biological communities. After a literature search, we developed an integrated conceptual model that illus...
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Yiji Ma, Yuzhe Zhao, Jiahao Yu, Jingmiao Zhou and Haibo Kuang
Shipping companies and maritime organizations want to improve the energy efficiency of ships and reduce fuel costs through optimization measures; however, the accurate fuel consumption prediction of fuel consumption is a prerequisite for conducting optim...
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K.S. Sivhugwana, E. Ranganai
The unsteady and intermittent feature (mainly due to atmospheric mechanisms and diurnal cycles) of solar energy resource is often a stumbling block, due to its unpredictable nature, to receiving high-intensity levels of solar radiation at ground lev...
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Arnauld Nzegha Fountsop, Jean Louis Ebongue Kedieng Fendji and Marcellin Atemkeng
Deep learning has been successfully showing promising results in plant disease detection, fruit counting, yield estimation, and gaining an increasing interest in agriculture. Deep learning models are generally based on several millions of parameters that...
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Marcel Van Oijen, Gianni Bellocchi and Mats Höglind
There is increasing evidence that the impact of climate change on the productivity of grasslands will at least partly depend on their biodiversity. A high level of biodiversity may confer stability to grassland ecosystems against environmental change, bu...
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Luis Fontes,Jean-Daniel Bontemps,Harald Bugmann,Marcel Van Oijen,Carlos Gracia,Koen Kramer,Marcus Lindner,Thomas Rötzer,Jens Peter Skovsgaard
Pág. 8 - 29
Forests are experiencing an environment that changes much faster than in at least the past several hundred years. In addition, the abiotic factors determining forest dynamics vary depending on its location. Forest modeling thus faces the new challenge of...
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Luis Fontes,Jean-Daniel Bontemps,Harald Bugmann,Marcel Van Oijen,Carlos Gracia,Koen Kramer,Marcus Lindner,Thomas Rötzer,Jens Peter Skovsgaard
Pág. 8 - 29
Forests are experiencing an environment that changes much faster than in at least the past several hundred years. In addition, the abiotic factors determining forest dynamics vary depending on its location. Forest modeling thus faces the new challenge of...
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S. MONTECINOS
The goal of this article is to show simple, analytical solutions of the general dispersion equation for an homogeneous plane source, parallel to the surface of the earth. At a first step, we construct a one-dimensional model, where a perfe...
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Mir-Amal M. Asadulagi, Ivan M. Pershin and Valentina V. Tsapleva
The article considers a mathematical model of the hydrolithospheric process taking into account the skin effect. A methodology for using the results of groundwater inflow testing to determine the parameters of approximating models that take into account ...
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Nguyen Trung Tuan, Philip Moore, Dat Ha Vu Thanh and Hai Van Pham
ChatGPT plays significant roles in the third decade of the 21st Century. Smart cities applications can be integrated with ChatGPT in various fields. This research proposes an approach for developing large language models using generative artificial intel...
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Madhav Mukherjee, Ngoc Thuy Le, Yang-Wai Chow and Willy Susilo
As the demand for cybersecurity experts in the industry grows, we face a widening shortage of skilled professionals. This pressing concern has spurred extensive research within academia and national bodies, who are striving to bridge this skills gap thro...
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Cynthia Andraos
The expected change in rainfall patterns and the increase in evapotranspiration due to climate change leads to earlier droughts, which aggravate water shortages. To ensure the sustainable management of water resources in these conditions, it is necessary...
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Satbir Guram and Rashid Bashir
To counter the impacts of climate change and urbanization, engineers have developed ingenious solutions to reduce flooding and capture stormwater contaminants through the use of Low Impact Developments (LIDs). The soil is generally considered to be compl...
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Carmelo Scribano, Danilo Pezzi, Giorgia Franchini and Marco Prato
With the recent advancements in the field of diffusion generative models, it has been shown that defining the generative process in the latent space of a powerful pretrained autoencoder can offer substantial advantages. This approach, by abstracting away...
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Parisa Mahya and Johannes Fürnkranz
Recently, some effort went into explaining intransparent and black-box models, such as deep neural networks or random forests. So-called model-agnostic methods typically approximate the prediction of the intransparent black-box model with an interpretabl...
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Eduardo Cibrián, Jose María Álvarez-Rodríguez, Roy Mendieta and Juan Llorens
The use of different techniques and tools is a common practice to cover all stages in the development life-cycle of systems generating a significant number of work products. These artefacts are frequently encoded using diverse formats, and often require ...
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Natalí Carbo-Bustinza, Hasnain Iftikhar, Marisol Belmonte, Rita Jaqueline Cabello-Torres, Alex Rubén Huamán De La Cruz and Javier Linkolk López-Gonzales
In the modern era, air pollution is one of the most harmful environmental issues on the local, regional, and global stages. Its negative impacts go far beyond ecosystems and the economy, harming human health and environmental sustainability. Given these ...
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Johane H. Bracamonte, Sarah K. Saunders, John S. Wilson, Uyen T. Truong and Joao S. Soares
Inverse modeling approaches in cardiovascular medicine are a collection of methodologies that can provide non-invasive patient-specific estimations of tissue properties, mechanical loads, and other mechanics-based risk factors using medical imaging as in...
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Joseph Isabona, Agbotiname Lucky Imoize, Stephen Ojo, Olukayode Karunwi, Yongsung Kim, Cheng-Chi Lee and Chun-Ta Li
Modern cellular communication networks are already being perturbed by large and steadily increasing mobile subscribers in high demand for better service quality. To constantly and reliably deploy and optimally manage such mobile cellular networks, the ra...
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Monika Kuffer, Maxwell Owusu, Lorraine Oliveira, Richard Sliuzas and Frank van Rijn
Gridded population datasets model the population at a relatively high spatial and temporal granularity by reallocating official population data from irregular administrative units to regular grids (e.g., 1 km grid cells). Such population data are vital f...
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