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Krystyna Niziol
Pág. 37 - 45
The paper aims to analyse selected legal and economic issues connected with control of concentration in the banking sector in Poland. The antitrust law aims to counteract the monopolisation of the market. Undertakings, including banks, can take actions w...
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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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Damny Magdaleno Guevara, Yadriel Miranda, Ivett Fuentes, María Garc ía
Pág. 69 - 80
A huge amount of information is represented in XML format. Several tools have been developed to store, and query XML data. It becomes inevitable to develop high performance techniques for efficiently analysing extremely large collections of XML data. O...
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Puti Yan, Zhen Cao, Jiangbo Peng, Chaobo Yang, Xin Yu, Penghua Qiu, Shanchun Zhang, Minghong Han, Wenbei Liu and Zuo Jiang
A flame?s structural feature is a crucial parameter required to comprehensively understand the interaction between turbulence and flames. The generation and evolution processes of the structure feature have rarely been investigated in lean blowout (LBO) ...
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Krzysztof Drachal and Michal Pawlowski
This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities? prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed. The conventional approa...
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Wenfeng Li, Jiao Pan, Wenyi Peng, Yingzhi Li and Chao Li
Garlic (Allium sativum) is an important economic crop in China. In terms of using remote sensing technology to identify it, there is still room for improvement, and the high-precision classification of garlic has become an important issue. However, to th...
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Cunxiang Bian, Jinqiang Bai, Guanghe Cheng, Fengqi Hao and Xiyuan Zhao
Field-road mode classification (FRMC) that identifies ?in-field? and ?on-road? categories for Global Navigation Satellite System (GNSS) trajectory points of agricultural machinery containing geographic information is essential for effective crop improvem...
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Che-Hao Chang, Jason Lin, Jia-Wei Chang, Yu-Shun Huang, Ming-Hsin Lai and Yen-Jen Chang
Recently, data-driven approaches have become the dominant solution for prediction problems in agricultural industries. Several deep learning models have been applied to crop yield prediction in smart farming. In this paper, we proposed an efficient hybri...
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Younes Zekeik, Maria J. OrtizBevia, Francisco J. Alvarez-Garcia, Ali Haddi, Youness El Mourabit and Antonio RuizdeElvira
Offshore wind energy is a promising resource for renewable energy development. Reanalysed wind data are unmatched by other wind data sources in providing a long-term assessment of wind power potential. In this study, 10 of the selected offshore locations...
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Ali Uzunlar and Muhammet Omer Dis
The hydrological cycle should be scrutinized and investigated under recent climate change scenarios to ensure global water management and to increase its utilization. Although the FAO proposed the use of the Penman?Monteith (PM) equation worldwide to pre...
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