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Khrystyna Zub, Pavlo Zhezhnych and Christine Strauss
In this paper, we investigate the methods used to evaluate the admission chances of higher education institutions? (HEI) entrants as a crucial factor that directly influences the admission efficiency, quality of education results, and future students? li...
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Haoxiang Xu, Tongyao Ren, Zhuangda Mo and Xiaohui Yang
Since the classification methods mentioned in previous studies are currently unable to meet the accuracy requirements for fault diagnosis in large-scale chemical industries, these methods are gradually being eliminated and rarely used. This research offe...
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Muhammad Intasya Falie Rizqi, Ruhul Firdaus
Pág. 274 - 284
A 3D seismic acquisition has been carried out for oil and gas exploration in F3 field block of North Sea sector of the Netherland formed between the Jurassic and Cretaceous periods. The presence of hydrocarbons is indicated by the phenomenon of bright sp...
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Bei Liu, Xian Zhang, Xiao Zou, Jing Cao and Ziqi Peng
Biological tissue damage monitoring is an indispensable part of high-intensity focused ultrasound (HIFU) treatment. As a nonlinear method, multi-scale permutation entropy (MPE) is widely used in the monitoring of biological tissue. However, the tradition...
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Taha Mohammed Hasan,Sahab Dheyaa Mohammed,Jumana Waleed
Pág. 6 - 13
Breast cancer is one of the most common kinds of cancers that infect females in the whole world. It has happened when the cells in breast tissues start to grow in an uncontrollable way. Because it leads to death, early detection and diagnosis is a very i...
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Muhammad Azfar Firdaus Azlah, Lee Suan Chua, Fakhrul Razan Rahmad, Farah Izana Abdullah and Sharifah Rafidah Wan Alwi
Plant systematics can be classified and recognized based on their reproductive system (flowers) and leaf morphology. Neural networks is one of the most popular machine learning algorithms for plant leaf classification. The commonly used neutral networks ...
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Shiue-Der Lu, Hong-Wei Sian, Meng-Hui Wang and Rui-Min Liao
The development of renewable energy and the increase of intermittent fluctuating loads have affected the power quality of power systems, and in the long run, damage the power equipment. In order to effectively analyze the quality of power signals, this p...
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Dimas Okky Anggriawan, Aidin Amsyar, Eka Prasetyono, Endro Wahjono, Indhana Sudiharto, Anang Tjahjono
Pág. 71 - 82
Due to increase power quality which are caused by harmonic distortion it could be affected malfunction electrical equipment. Therefore, identification of harmonic loads become important attention in the power system. According to those problems, t...
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Hydropower is one of the most important renewable energy sources. However, the safe construction of hydropower stations is seriously affected by disasters like rockburst, which, in turn, restricts the sustainable development of hydropower energy. In this...
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Jie-Sheng Wang, Jiang-Di Song and Jie Gao
In order to realize the fault diagnosis of the polyvinyl chloride (PVC) polymerization kettle reactor, a rough set (RS)?probabilistic neural networks (PNN) fault diagnosis strategy is proposed. Firstly, through analysing the technique of the PVC polymeri...
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