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Jose M. Bernal-de-Lázaro
Pág. 74 - 81
This article summarizes the main contributions of the PhD thesis titled: "Application of learning techniques based on kernel methods for the fault diagnosis in Industrial processes". This thesis focuses on the analysis and design of fault diagnosis syste...
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Long Li, Yiming Peng, Yifeng Wang, Xiaohui Wei and Hong Nie
Arresting gear systems play a vital role in carrier-based aircraft landing. In order to accurately understand the process of arresting hook and cable, this study introduces a parameter inversion method to model the arresting cable and applies it to the t...
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Andrea Emma Pravitasari, Galuh Syahbana Indraprahasta, Ernan Rustiadi, Vely Brian Rosandi, Yuri Ardhya Stanny, Siti Wulandari, Rista Ardy Priatama and Alfin Murtadho
This paper is situated within the discussion of mega-urbanization, a particular urbanization process that entails a large-scale agglomeration. In this paper, our focus is on urbanization in Java, Indonesia?s most dynamic region. We add to the literature ...
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Jordi Renau Martínez, Víctor García Peñas, Manuel Ibáñez Arnal, Alberto Giménez Sancho, Eduardo López González, Adelaida García Magariño, Félix Terroba Ramírez, Francisco Javier Moreno Ayerbe and Fernando Sánchez López
This article presents the design and manufacturing of a hydrogen-powered unmanned aquatic surface vehicle (USV) hull. The design process comprised three stages: (1) defining the requirements for a preliminary geometry, (2) verifying the hydrodynamic hull...
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Tanja Gavric and Ivana Nacinovic Braje
This study aims to investigate the occurrence of conflicts in family businesses, particularly focusing on their impact on founder behavior and organizational culture. Conducted in Bosnia and Herzegovina, the research employs a qualitative methodology to ...
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Hanyu Liu, Jianjian Liu, Zhenjiao Zhang, Weichao Liu, Qi Zhang, Xing Wang, Chengjie Ren, Gaihe Yang and Xinhui Han
In the agroforestry system, the organic matter in the farmland and natural ecosystem enters the farmland soil in a mixed form to improve soil fertility and carbon pool quality. However, it is unclear how soil microbial carbon-degrading enzyme activity re...
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Jih-Jeng Huang and Chin-Yi Chen
Cooperative alternatives need complex multi-criteria decision-making (MCDM) consideration, especially in resource allocation, where the alternatives exhibit interdependent relationships. Traditional MCDM methods like the Analytic Hierarchy Process (AHP) ...
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Valentina Vendittoli, Wilma Polini, Michael S. J. Walter and Stefan Geißelsöder
Additive manufacturing has transformed the production process by enabling the construction of components in a layer-by-layer approach. This study integrates Artificial Neural Networks to explore the nuanced relationship between process parameters and mec...
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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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Raymundo Peña-García, Rodolfo Daniel Velázquez-Sánchez, Cristian Gómez-Daza-Argumedo, Jonathan Omega Escobedo-Alva, Ricardo Tapia-Herrera and Jesús Alberto Meda-Campaña
This research introduces a physics-based identification technique utilizing genetic algorithms. The primary objective is to derive a parametric matrix, denoted as A, describing the time-invariant linear model governing the longitudinal dynamics of an air...
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