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Huan Tu, Gesang Duoji, Qijun Zhao and Shuang Wu
Face recognition using a single sample per person is a challenging problem in computer vision. In this scenario, due to the lack of training samples, it is difficult to distinguish between inter-class variations caused by identity and intra-class variati...
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Muhammad Akmal Mohd Zakaria, Raja Izamshah Raja Abdullah, Mohd Shahir Kasim, Mohamad Halim Ibrahim
Pág. 261 - 274
Sustainability plays an important role in manufacturing industries through economically-sound processes that able to minimize negative environmental impacts while having the social benefits. In this present study, the modeling of wire electrical discharg...
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Mohammad Zounemat-Kermani, Youngmin Seo, Sungwon Kim, Mohammad Ali Ghorbani, Saeed Samadianfard, Shabnam Naghshara, Nam Won Kim and Vijay P. Singh
This study evaluates standalone and hybrid soft computing models for predicting dissolved oxygen (DO) concentration by utilizing different water quality parameters. In the first stage, two standalone soft computing models, including multilayer perceptron...
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Nicolás Rodríguez-Jeangros, Amanda S. Hering and John E. McCray
In recent decades, the Rocky Mountains (RM) have undergone significant changes associated with anthropogenic activities and natural disturbances. These changes have the potential to alter primary productivity and biomass carbon storage. In particular, di...
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Tommaso Caloiero, Beniamino Sirangelo, Roberto Coscarelli, Ennio Ferrari
Pág. 1 - 21
Stochastic simulators can effectively generate the intrinsic variability of the rainfall process, which is an important issue in the analysis of the projections uncertainties. In this paper, a procedure for stochastic modeling of precipitation at monthly...
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