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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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R. Ikhwanuddin, O. F. T. Maryana, M. Y. Darmawan, S. Anggini, A. Lailani, V. L. Ipmawan
Pág. 126 - 134
Bricks are regarded as important material in building constructions. Basically, brick is processed by mixing clay and water then burnt under high temperature for a certain duration. Previous study in Indonesia shows that mixing local clay with additional...
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Pablo de Llano, Carlos Piñeiro, Manuel Rodríguez
Pág. pp. 163 - 198
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: univariate, linear, discriminate and logit regression; recursive partitioning, rough sets, artificial neural networks, and DEA. Our goals are: clarify the...
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Okponmwense Moses,Queen Omone Asekhame
Pág. 165 - 174
Soil contamination with heavy metals is a global environmental matter of interest due to its thinkable dangers to humans, environmental health and ecosystem preceding shortfalls in agricultural produce and dangerous health outcomes as they penetrate the ...
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Chunyu Song, Teer Guo, Jianghua Sui and Xianku Zhang
In order to solve the problem of the dynamic positioning control of large ships in rough sea and to meet the need for fixed-point operations, this paper proposes a dynamic positioning controller that can effectively achieve large ships? fixed-point contr...
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Maarten Glibert, Carine Matthys, Aurélie Van Lancker, Amber Segers and Hugo De Bruyn
The influence of implant surface roughness on implant treatment outcome is still under debate. A rougher implant surface improves osseointegration but yields greater plaque accumulation and biofilm formation. Hybrid implants have a minimally rough compon...
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Artur Chudzik and Andrzej W. Przybyszewski
Neurodegenerative diseases (NDs), including Parkinson?s and Alzheimer?s disease, pose a significant challenge to global health, and early detection tools are crucial for effective intervention. The adaptation of online screening forms and machine learnin...
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Mohamed Shenify, Fokrul Alom Mazarbhuiya and A. S. Wungreiphi
There are many applications of anomaly detection in the Internet of Things domain. IoT technology consists of a large number of interconnecting digital devices not only generating huge data continuously but also making real-time computations. Since IoT d...
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Xianshan Liu, Xiaolei Luo, Shaowei Liu, Pugang Zhang, Man Li and Yuhua Pan
The study of the seepage and heat transfer law of three-dimensional rough fractures is of great significance in improving the heat extraction efficiency of underground thermal reservoirs. However, the phase transition effects of fluids during the thermal...
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Abeer S. Aloufi, Bahja Al Riyami, Mustafa A. Fawzy, Hatim M. Al-Yasi, Mostafa Koutb and Sedky H. A. Hassan
The release of heavy metals into the environment as a result of industrial and agricultural activities represents one of the century?s most significant issues. Cobalt is a hazardous metal that is employed in a variety of industries. In this study, respon...
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