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Yao Ding, Yin Wang, Shuming Yang, Xiaolong Zhao, Lili Ouyang and Chengyue Lai
The current standards used for nitrogen pollution evaluation are lacking, and scientific classification methods are needed for nitrogen pollution to improve water quality management capabilities. This study addresses the important issue of assessing surf...
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Lingzhi Yin and Yafei Wang
Delving into the spatiotemporal evolution of the railway network in different periods can provide guidance and reference for the planning and layout of the railway network. However, most of the existing studies tended to model the railway data separately...
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Marko Jevtic, Sa?a Mladenovic and Andrina Granic
Due to the everchanging and evergrowing nature of programming technologies, the gap between the programming industry?s needs and the educational capabilities of both formal and informal educational environments has never been wider. However, the need to ...
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Loris Alif Syahputra, Maman Hermana and Iftikhar Satti
This article demonstrates the use of a type of unsupervised learning named self-organizing maps to delineate hydrocarbons.
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Marina Cabidoche, Yves Vanbrabant, Serge Brouyère, Vinciane Stenmans, Bruno Meyvis, Thomas Goovaerts, Estelle Petitclerc and Christian Burlet
Spring water geochemistry is applied here to evaluate the geothermal potential in Rhenohercynian fold and thrust belt around the deepest borehole in Belgium (Havelange borehole: 5648 m MD). Fifty springs and (few) wells around Havelange borehole were cho...
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Adam Dlugosz, Pawel Jarosz and Tomasz Schlieter
The paper presents the application of the IMGAMO (immune game theory multiobective algorithm) in the optimal design of electrothermal microactuators. Several numerical tests on the mathematical benchmark test functions were performed, showing the superio...
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Evandro Bona, Rui Sérgio dos Santos Ferreira da Silva, Dionísio Borsato, Denisley Gentil Bassoli
Pág. 111 - 119
The electronic nose (EN) is an instrument very used for food flavor analysis. However, it is also necessary to integrate the equipment with a multivariable pattern recognition system, and to this end the principal component analysis (PCA) is the first ch...
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Hiroomi Hikawa, Yuta Ichikawa, Hidetaka Ito and Yutaka Maeda
Human?computer interface.
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Dhan Lord B. Fortela, Matthew Crawford, Alyssa DeLattre, Spencer Kowalski, Mary Lissard, Ashton Fremin, Wayne Sharp, Emmanuel Revellame, Rafael Hernandez and Mark Zappi
This study focused on demonstrating the use of a self-organizing map (SOM) algorithm to elucidate patterns among variables in simulated syngas combustion. The work was implemented in two stages: (1) modelling and simulation of syngas combustion under var...
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Menglu Li, Rasha Kashef and Ahmed Ibrahim
Outlier detection is critical in many business applications, as it recognizes unusual behaviours to prevent losses and optimize revenue. For example, illegitimate online transactions can be detected based on its pattern with outlier detection. The perfor...
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Jerome R. Mayaud, Sam Anderson, Martino Tran and Valentina Radic
As urban populations grow worldwide, it becomes increasingly important to critically analyse accessibility?the ease with which residents can reach key places or opportunities. The combination of ?big data? and advances in computational techniques such as...
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As urban populations grow worldwide, it becomes increasingly important to critically analyse accessibility—the ease with which residents can reach key places or opportunities. The combination of ‘big data’ and advances in computational ...
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Hirokazu Madokoro, Kazuhito Sato and Nobuhiro Shimoi
This paper presents a vision-based indoor scene recognition method from aerial time-series images obtained using a micro air vehicle (MAV). The proposed method comprises two procedures: a codebook feature description procedure, and a recognition procedur...
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Yingwei Yan, Yingbin Deng, Ji Yang, Yong Li, Xinyue Ye, Jianhui Xu and Yuyao Ye
Sustainability is one of the major challenges in the 21st century for humanity. Spatial zoning of ecosystem services is proposed in this study as a solution to meet the demands for the sustainable use of ecosystem services. This study presented a workflo...
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Julian Chenin and Heather Bedle
An effective method of identifying and discriminating undersaturated gas accumulations remains unresolved, resulting in uncertainty in hydrocarbon exploration. To address this problem, an unsupervised machine learning multi-attribute analysis is performe...
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Marian B. Gorzalczany and Filip Rudzinski
In this paper, we briefly present several modifications and generalizations of the concept of self-organizing neural networks?usually referred to as self-organizing maps (SOMs)?to illustrate their advantages in applications that range from high-dimension...
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Sina Keller, Raoul Gabriel and Johanna Guth
Average speed information, which is essential for routing applications, is often missing in the freely available OpenStreetMap (OSM) road network. In this contribution, we propose an estimation framework, including different machine learning (ML) models ...
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Vita Santa Barletta, Danilo Caivano, Antonella Nannavecchia and Michele Scalera
The diffusion of embedded and portable communication devices on modern vehicles entails new security risks since in-vehicle communication protocols are still insecure and vulnerable to attacks. Increasing interest is being given to the implementation of ...
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D. Criado-Ramón, L. G. B. Ruiz and M. C. Pegalajar
Pattern sequence-based models are a type of forecasting algorithm that utilizes clustering and other techniques to produce easily interpretable predictions faster than traditional machine learning models. This research focuses on their application in ene...
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Ekaterini Hadjisolomou, Konstantinos Stefanidis, George Papatheodorou and Evanthia Papastergiadou
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