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Dongbock Kim, Sat Byul Seo, Nam Hyun Yoo and Gisu Shin
In many small- and medium-sized enterprises (SMEs), defective products are still manually verified in the manufacturing process. Recently, image classification applying deep learning technology has been successful in classifying images of defective and i...
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Huihui Mao, Jihua Meng, Fujiang Ji, Qiankun Zhang and Huiting Fang
Leaf area index (LAI) is a crucial crop biophysical parameter that has been widely used in a variety of fields. Five state-of-the-art machine learning regression algorithms (MLRAs), namely, artificial neural network (ANN), support vector regression (SVR)...
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Arno Duijster, Arno Volker, Frenk Van den Berg and Carola Celada-Casero
The applicability of laser ultrasonics for the determination of grain size and phase composition in steels under different temperatures was investigated. This was done by obtaining the velocity and attenuation of propagating ultrasonic waves in a simulat...
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Zhao Ma, Lichao Nie, Zhaoyang Deng, Xiaobin Xu, Xin Yin, Junfeng Shen, Kai Wang and Ningbo Li
The induced polarization method has become a popular method for evaluating formation permeability characteristics in recent years because of its sensitivity to water and water-bearing porous media. In particular, the induced polarization relaxation time ...
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Soumaya Bechir Hechmi
Pág. 203 - 208
In this paper, we examine simultaneous relationship between respectively cash flow, dividend yield, debt, firm size and the investment. This research used 51 listed Saudi industrial firms, from 2009-2018. First of all, we have noticed that the CF ha...
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Quanhui Liu, Yuanbo Xue, Dan Ma and Qiang Li
Groundwater inrush hazard has always been a great threat to the construction of vertical shafts in coal mines. Generally, the failure of the water-resisting coal pillar under coupled stress-seepage conditions around the vertical shaft is the main reason ...
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Mohammad Tabasi, Ali Asghar Alesheikh, Mohsen Kalantari, Elnaz Babaie and Abolfazl Mollalo
This study is dedicated to modeling the spatial variation in COVID-19 prevalence using the adaptive neuro-fuzzy inference system (ANFIS) when dealing with nonlinear relationships, especially useful for small areas or small sample size problems. We compil...
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Han Hu, Changming Wang, Zhu Liang, Ruiyuan Gao and Bailong Li
Landslides frequently occur because of natural or human factors. Landslides cause huge losses to the economy as well as human beings every year around the globe. Landslide susceptibility prediction (LSP) plays a key role in the prevention of landslides a...
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Oscar Álvarez, Enrique Muñoz, Nelson Maureira-Carsalade and Ángel Roco-Videla
The most used global sensitivity analysis (GSA) method is based on variance. This is performed using Monte Carlo Sampling (MCS) or Latin Hypercube Sampling (LHS). It requires a large sample to obtain accurate estimates. Density-based methods, such as the...
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Christina Batthyany, Youri Maryn, Ilse Trauwaen, Els Caelenberghe, Joost van Dinther, Andrzej Zarowski and Floris Wuyts
The acoustic voice quality index (AVQI) is a multiparametric tool based on six acoustic measurements to quantify overall voice quality in an objective manner, with the smoothed version of the cepstral peak prominence (CPPS) as its main contributor. In th...
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Derya ÖZTÜRK, Güngör KARAKAS
Pág. 69 - 78
People's clothing preferences are changing with the rapid development of technology. Success of firms requires knowledge of the target audience in global market. It is necessary to determine the factors that affect consumer attitude and behaviour. The pu...
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Andreas Tan,Desmiyawati Benni,Warda Liani
Pág. 11 - 17
This paper aims to examine the effect of firm size, media exposure and industry sensitivity to corporate social responsibility disclosure and its impact on investor reaction. The population of the study is the companies listed on Indonesian Stock Exchang...
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Gloria Biern, Jesús Giraldo, Jan-Paul Zock, Gemma Monyarch, Ana Espinosa, Gema Rodríguez-Trigo, Federico Gómez, Francisco Pozo-Rodríguez, Joan-Albert Barberà and Carme Fuster
Micronuclei, comet and chromosome alterations assays are the most widely used biomarkers for determining the genotoxic damage in a population exposed to genotoxic chemicals. While chromosome alterations are an excellent biomarker to detect short- and lon...
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