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Masoud Jafari Shalamzari, Wanchang Zhang, Atefeh Gholami and Zhijie Zhang
Site selection for runoff harvesting at large scales is a very complex task. It requires inclusion and spatial analysis of a multitude of accurately measured parameters in a time-efficient manner. Compared with direct measurements of runoff, which is tim...
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Radoslaw Piotr Katarzyniak, Grzegorz Popek and Marcin Zurawski
This article presents a model of an architecture of an artificial cognitive agent that performs the function of generating autoepistemic membership statements used to communicate beliefs about the belonging of an observed external object to a category wi...
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Chinyang Henry Tseng, Woei-Jiunn Tsaur and Yueh-Mao Shen
In detecting large-scale attacks, deep neural networks (DNNs) are an effective approach based on high-quality training data samples. Feature selection and feature extraction are the primary approaches for data quality enhancement for high-accuracy intrus...
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Maryam Badar and Marco Fisichella
Fairness-aware mining of data streams is a challenging concern in the contemporary domain of machine learning. Many stream learning algorithms are used to replace humans in critical decision-making processes, e.g., hiring staff, assessing credit risk, et...
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Hussein Zolfaghari, Hossein Karimi, Amin Ramezani and Mohammadreza Davoodi
DC microgrids play a crucial role in both industrial and residential applications. This study focuses on minimizing output voltage ripple in a DC microgrid, including power supply resources, a stochastic load, a ballast load, and a stabilizer. The solar ...
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Mohit Kumar, Bernhard A. Moser, Lukas Fischer and Bernhard Freudenthaler
In order to develop machine learning and deep learning models that take into account the guidelines and principles of trustworthy AI, a novel information theoretic approach is introduced in this article. A unified approach to privacy-preserving interpret...
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Athina Daniilidou, Avrilia Konguetsof, Georgios Souliotis and Basil Papadopoulos
In this research paper, a generator of fuzzy methods based on theorems and axioms of fuzzy logic is derived, analyzed and applied. The family presented generates fuzzy implications according to the value of a selected parameter. The obtained fuzzy implic...
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Hidaya Al Lawati and Zakeya Sanad
This study presents current evidence on the impact of different corporate ownership types on audit quality in Oman and potentially in other developing countries with similar institutional environments, such as GCC countries. While previous research has p...
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Yang Chen, Xikui Sun, Xiufeng Zhang, Peng Gu, Guoying Li, Shenglong Yang, Deyuan Fan, Chuancheng Liu and Xuesheng Liu
The impact risk evaluation for the strip filling of working faces has always been a research hotspot and a difficulty in the field of rock bursts. In this paper, the concept of the critical filling rate is first proposed, and the criterion for identifyin...
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Clebson Pautz, Alexandre Rosa dos Santos, Jéferson Luiz Ferrari, Plinio Antonio Guerra Filho, Sustanis Horn Kunz, Henrique Machado Dias, Taís Rizzo Moreira, Rita de Cássia Freire Carvalho, Vinícius Duarte Nader Mardeni, Elaine Cordeiro dos Santos and Larissa Marin Scaramussa
Environmental vulnerability refers to the susceptibility of a region to damage when it is subjected to natural or anthropogenic actions. The assessment of environmental vulnerability in lakes is an important tool to assist managers in planning and interv...
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