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O. M. Pshinko,S. V. Miamlin,V. D. Petrenko,S. V. Tsepak
Pág. 188 - 194
The work proposes dynamical interpretation and extensive analysis of display graphics for computations of railway earth permanent way.
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Marek Chabada, Pavol Durica and Peter Juras
Current building envelope greening systems are not just areas covered with vegetation. Today?s systems can maximise the functional contribution of vegetation to a building?s performance and become part of a sustainable urban renewal strategy. The impact ...
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Koji Kinomura and Tetsuya Ishida
Although applications of low water-to-cement ratio mixtures to practical structures have been increasing to enhance seismic resistance and long-term durability in recent years, it was experimentally observed that such a mixture causes peculiar hydration ...
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Gianni Cristian Iannelli and Fabio Dell?Acqua
In order for a risk assessment to deliver sensible results, exposure in the concerned area must be known or at least estimated in a reliable manner. Exposure estimation, though, may be tricky, especially in urban areas, where large-scale surveying is gen...
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Gianni Cristian Iannelli and Fabio Dell?Acqua
In order for a risk assessment to deliver sensible results, exposure in the concerned area must be known or at least estimated in a reliable manner. Exposure estimation, though, may be tricky, especially in urban areas, where large-scale surveying is gen...
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Haya M. Alogayell, Eman Mohamed M. EL-Bana and Mohamed Abdelfattah
The present work focuses on a comprehensive hydrochemical assessment of groundwater within a shallow aquifer located in the central region of Saudi Arabia. This aquifer serves as the principal source of groundwater supply for agricultural irrigation purp...
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Alina Haller
Agriculture and related activities generate a significant amount of greenhouse gas emissions with environmental and biodiversity implications. Based on the European objectives proposed by the Green Pact, this paper assesses the carbon footprint of agricu...
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George Westergaard, Utku Erden, Omar Abdallah Mateo, Sullaiman Musah Lampo, Tahir Cetin Akinci and Oguzhan Topsakal
Automated Machine Learning (AutoML) tools are revolutionizing the field of machine learning by significantly reducing the need for deep computer science expertise. Designed to make ML more accessible, they enable users to build high-performing models wit...
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Stergios Roumeliotis, Kyriakos Lampropoulos, Ekaterini Delegou, Elisavet Tsilimantou, Vasileios Keramidas, Asterios Bakolas and Antonia Moropoulou
The restoration of historic buildings and structures involves a wide range of scientific and technical fields. The grouting process is among an array of rehabilitation and preservation interventions and aims to homogenize the structure after the implemen...
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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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?tefan Bila?co and Titus-Cristian Man
On a global scale, traffic incidents are a leading cause of mortality and material damage. Romania exhibits the highest rate of road traffic fatalities both in the European Union and worldwide, requiring a comprehensive examination of its overall influen...
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Vladislav T. Todorov, Dmitry Rakov and Andreas Bardenhagen
The search for a rational design subspace of aircraft configurations can be addressed by using the advanced morphological approach (AMA). It allows the decomposition of design problems into functional and/or characteristic attributes and their technologi...
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Mohammadreza Mohammadi, Araliya Mosleh, Mehran S. Razzaghi, Pedro Alves Costa and Rui Calçada
The purpose of this research is to study the seismic performance of railway embankments through a probabilistic approach. Nonlinear response history analyses were conducted utilizing PLAXIS software. Three categories of railway embankments were selected ...
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Ge Yang, Xindong Zhao, Yu Tian and Lingjie Li
Structural analysis is crucial for airfield pavement evaluation and plays a critical role in ensuring airfield operation safety and efficiency. Traditionally, the evaluation has relied on the Heavy Weight Deflectometer (HWD) test. This method encounters ...
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Jorge Alexander Mora Forero, Alvelayis Nieto Mejia and Ana León-Gómez
The main objective of this bibliometric review is to analyse and synthesise the evolution of the field of black tourism through an extensive analysis of the scientific literature. To this end, the article carries out a bibliometric analysis and systemati...
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Claudio Mercurio, Laura Paola Calderón-Cucunuba, Abel Alexei Argueta-Platero, Grazia Azzara, Chiara Cappadonia, Chiara Martinello, Edoardo Rotigliano and Christian Conoscenti
In January and February 2001, El Salvador was hit by two strong earthquakes that triggered thousands of landslides, causing 1259 fatalities and extensive damage. The analysis of aerial and SPOT-4 satellite images allowed us to map 6491 coseismic landslid...
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Alessandro Rasulo, Sofia Nardoianni, Azzurra Evangelisti and Mauro D?Apuzzo
Transportation networks are one of the most vulnerable civil infrastructures during an earthquake and an estimation of traffic impacts in the post-earthquake scenario is a crucial aspect in the context of risk assessment and evaluation of remedial measur...
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Oleksandr Melnyk, Jacqueline Raab and Frank Lulei
This paper explores how the ÖNORM B 2203-1 model can complement the FIDIC Emerald Book contracts in conventional tunnel construction projects, specifically focusing on cooperation, project management, reimbursement, and dispute resolution. The complex te...
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Li-Na Wang, Guoqiang Zhong, Yaxin Shi and Mohamed Cheriet
Most of the dimensionality reduction algorithms assume that data are independent and identically distributed (i.i.d.). In real-world applications, however, sometimes there exist relationships between data. Some relational learning methods have been propo...
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Yinghui Wang, Wenjun Wang, Minglai Shao and Yueheng Sun
Network alignment (NA) offers a comprehensive way to build associations between different networks by identifying shared nodes. While the majority of current NA methods rely on the topological consistency assumption, which posits that shared nodes across...
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