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Panagiotis Filippakis, Stefanos Ougiaroglou and Georgios Evangelidis
Reducing the size of the training set, which involves replacing it with a condensed set, is a widely adopted practice to enhance the efficiency of instance-based classifiers while trying to maintain high classification accuracy. This objective can be ach...
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Wenjing Yang, Liejun Wang, Shuli Cheng, Yongming Li and Anyu Du
Recently, deep learning to hash has extensively been applied to image retrieval, due to its low storage cost and fast query speed. However, there is a defect of insufficiency and imbalance when existing hashing methods utilize the convolutional neural ne...
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David Urbano Pulido (Universidad Autónoma de Barcelona),Elisabeth Ferri Jiménez (Universidad Autónoma de Barcelona),María Noguera i Noguera (Universidad Autónoma de Barcelona)
ABSTRACTIn this article we analyse the socio-cultural factors that influence the likelihood of women becoming social entrepreneurs, using institutional economics. Binary logistic regression has been applied as the statistical method to test the hypothese...
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Abdul Rasheed, Muhammad Khalid Sohail, Shahab-Ud Din and Muhammad Ijaz
This study investigates that how investment banks select alternative valuation models to price Initial Public Offerings (IPOs) and examine the value-relevance of each valuation model using the data of 88 IPOs listed on the Pakistan Stock Exchange (PSX) d...
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Lingqi Kong and Shengquau Liu
With the development of the Internet, vast amounts of text information are being generated constantly. Methods for extracting the valuable parts from this information have become an important research field. Relation extraction aims to identify entities ...
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Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi and Roohallah Alizadehsani
This paper proposes a new method for epileptic seizure detection in electroencephalography (EEG) signals using nonlinear features based on fractal dimension (FD) and a deep learning (DL) model. Firstly, Bonn and Freiburg datasets were used to perform exp...
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Mark Nekhamin,Ihor Beztsennyi,Natalia Dunayevska,Volodimir Vyfatnuik
Pág. 48 - 53
The use of binary mixtures in TPP steam generators as fuels is caused by various reasons, such as improvement of ignition conditions and the possible environmental benefits of burning binary mixtures. Since the existing boilers of TPP were calculated for...
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Fausto Pedro García Márquez, Isaac Segovia Ramírez, Behnam Mohammadi-Ivatloo and Alberto Pliego Marugán
New wind turbines are becoming more complex and reliability analysis of them rising in complexity. The systems are composed of many components. Fault tree is used as an useful tool to analyze these interrelations and provide a scheme of the wind turbine,...
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