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Károly Héberger
Background: The development and application of machine learning (ML) methods have become so fast that almost nobody can follow their developments in every detail. It is no wonder that numerous errors and inconsistencies in their usage have also spread wi...
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Nik?a Jajac and Ana Bo?njak
This paper presents a systematic and sustainable approach to nonurban road network maintenance management based on the integration of multicriteria decision-making methods and methods of monitoring and control in the service of planning, implementation a...
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Zheng Li, Weizhang Liang and Guoyan Zhao
Rockburst is a major disaster in deep mining engineering, which can cause serious injury, death and economic losses. This study aims to solve rockburst hazard evaluation problems and determine the hazard levels of mines under uncertain circumstances. To ...
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Nicole Di Santo, Leidy Guante Henriquez, Giovanni Dotelli and Marco Imperadori
Due to our increasing dependence on resources and energy, climate change is among the most tangible issues we are facing today. The construction industry has been identified as a key sector to intervene in, but mitigation strategies must focus on more th...
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Belén Onecha, Còssima Cornadó, Jordi Morros and Oriol Pons
This research paper has defined and applied a new approach to develop and optimize augmented reality-based metaverse environments for learning construction and rehabilitation in architectural studies. This research paper is part of a broader project that...
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Mustapha Ikirri, Said Boutaleb, Ismael M. Ibraheem, Mohamed Abioui, Fatima Zahra Echogdali, Kamal Abdelrahman, Mouna Id-Belqas, Tamer Abu-Alam, Hasna El Ayady, Sara Essoussi and Farid Faik
An assessment of potential groundwater areas in the Ifni basin, located in the western Anti-Atlas range of Morocco, was conducted based on a multicriteria analytical approach that integrated a set of geomorphological and hydroclimatic factors influencing...
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Sergey Sakulin and Alexander Alfimtsev
The modern tourist industry is characterized by an abundance of applied multicriteria decision-making tasks. Several researchers have demonstrated that such tasks can be effectively resolved using aggregation operators based on fuzzy integrals and fuzzy ...
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Arghadyuti Banerjee, Leo Creedon, Noelle Jones, Laurence Gill and Salem Gharbia
Assuring the quantity and quality of groundwater resources is essential for the well-being of human and ecological health, society, and the economy. For the last few decades, groundwater vulnerability modeling techniques have become essential for groundw...
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Igor Pinheiro de Araújo Costa, Adilson Vilarinho Terra, Miguel Ângelo Lellis Moreira, Maria Teresa Pereira, Luiz Paulo Lopes Fávero, Marcos dos Santos and Carlos Francisco Simões Gomes
Personnel selection is increasingly proving to be an essential factor for the success of organizations. These issues almost universally involve multiple conflicting objectives, uncertainties, costs, and benefits in decision-making. In this context, perso...
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Gilson Adamczuk Oliveira, Gisele Taís Piovesan, Dalmarino Setti, Shoji Takechi, Kim Hua Tan and Guilherme Luz Tortorella
Facing the new challenges in production processes, companies should adopt lean and green practices in product development. In SMEs, the application of these practices is more complex. This work explores the maturity of lean?green methodologies in the pro...
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