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Ognjen Radovic,Srdan Marinkovic,Jelena Radojicic
Credit scoring attracts special attention of financial institutions. In recent years, deep learning methods have been particularly interesting. In this paper, we compare the performance of ensemble deep learning methods based on decision trees with the b...
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Aden Iftin Janjane,Jackson Ndolo Muthini
Pág. 105 - 112
The logistics service industry has evolved quickly to deliver a variety of services including frequently outsourced warehousing, logistics, and freight forwarding, as well as value-added services which include; order management and fulfillment as well as...
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Haoran Liu, Kehui Xu, Bin Li, Ya Han and Guandong Li
Machine learning classifiers have been rarely used for the identification of seafloor sediment types in the rapidly changing dredge pits for coastal restoration. Our study uses multiple machine learning classifiers to identify the sediment types of the C...
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Ade Maya Saraswati
Pág. 151 - 161
Abstract: This research aims to analyse the effect of tax and tunnelling incentive to transfer pricing with good corporate governance as a moderating variable. This research focuses on all mining companies listed on the Indonesian Stock Exchange in the p...
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Mukhtar Zhassuzak, Marat Akhmet, Yedilkhan Amirgaliyev and Zholdas Buribayev
Unpredictable strings are sequences of data with complex and erratic behavior, which makes them an object of interest in various scientific fields. Unpredictable strings related to chaos theory was investigated using a genetic algorithm. This paper prese...
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Stefano Alderighi, Paolo Landa, Elena Tànfani and Angela Testi
Molecular genetic techniques allow for the diagnosing of hereditary diseases and congenital abnormalities prenatally. A high variability of treatments exists, engendering an inappropriate clinical response, an inefficient use of resources, and the violat...
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Yuecheng Li, Liangjie Xu, Xi Huang and Hao Xiao
To enhance cycling comfort, a critical investigation of vibration effects in non-motorized bicycle riding is essential, focusing on road characteristics and traffic features. The analysis of how these elements influence cycling vibrations identified 13 k...
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Mamoon Riaz, Hammad Dilpazir, Sundus Naseer, Hasan Mahmood, Asim Anwar, Junaid Khan, Ian B. Benitez and Tanveer Ahmad
In the past few decades, the transmission of data over an unsecure channel has resulted in an increased rate of hacking. The requirement to make multimedia data more secure is increasing day by day. Numerous algorithms have been developed to improve effi...
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Stanislav Letkovský, Sylvia Jencová and Petra Va?anicová
Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial in...
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Dhiaa Musleh, Ali Alkhwaja, Ibrahim Alkhwaja, Mohammed Alghamdi, Hussam Abahussain, Mohammed Albugami, Faisal Alfawaz, Said El-Ashker and Mohammed Al-Hariri
Obesity is increasingly becoming a prevalent health concern among adolescents, leading to significant risks like cardiometabolic diseases (CMDs). The early discovery and diagnosis of CMD is essential for better outcomes. This study aims to build a reliab...
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