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George A. Papakostas, John W. Nolan and Athanasios C. Mitropoulos
One of the most challenging problems that are still open in the field of materials science is the 3D reconstruction of porous media using information from a single 2D thin image of the original material. Such a reconstruction is only feasible subject to ...
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Yu Feng, Jianzhong Zhou, Li Mo, Zhe Yuan, Peilun Zhang, Jiang Wu, Chao Wang and Yongqiang Wang
In this paper, the impact of future climate changes on long-term hydropower generation (LTHG) of cascade hydropower stations in the lower reaches of the Jinsha River is discussed. Global climate models (GCM) were used to estimate the impacts of future cl...
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Jeng-Fung Chen, Quang Hung Do, Thi Van Anh Nguyen and Thi Thanh Hang Doan
Electricity load forecasting plays a paramount role in capacity planning, scheduling, and the operation of power systems. Reliable and accurate planning and prediction of electricity load are therefore vital. In this study, a novel approach for forecasti...
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Chen Cao, Shengyuan Song, Jianping Chen, Lianjing Zheng and Yuanyuan Kong
Debris flow is one of the major threats for the sustainability of environmental and social development. The velocity directly determines the impact on the vulnerability. This study focuses on an approach using radial basis function (RBF) neural network a...
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Omar Avalos, Erik Cuevas and Jorge Gálvez
The efficient use of electrical energy is a topic that has attracted attention for its environmental consequences. On the other hand, induction motors represent the main component in most industries. They consume the highest energy percentages in industr...
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Norlina Mohd Sabri, Nor Diyana Md Sin, Mazidah Puteh and Mohamad Rusop Mahmood
This research is focusing on the radio frequency (RF) magnetron sputtering process, a physical vapor deposition technique which is widely used in thin film production. This process requires the optimized combination of deposition parameters in order to o...
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Ali Mulyanto,Romi Satria Wahono
Pág. 43 - 48
Klasterisasi fuzzy merupakan masalah penting yang merupakan subjek penelitian aktif dalam beberapa aplikasi dunia nyata. Algoritma fuzzy c-means (FCM) merupakan salah satu teknik pengelompokan fuzzy yang paling populer karena efisien, dan mudah dii...
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