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Jinho Park, Heegwang Kim and Joonki Paik
In this paper, we present a coarse-to-fine convolutional neural network (CF-CNN) for learning multilabel classes. The basis of the proposed CF-CNN is a disjoint grouping method that first creates a class group with hierarchical association, and then assi...
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Seonyoung Park, Sumin Park, Jungho Im, Jinyoung Rhee, Jinho Shin, Jun Dong Park
Pág. 1 - 23
Soil moisture is a key part of Earth?s climate systems, including agricultural and hydrological cycles. Soil moisture data from satellite and numerical models is typically provided at a global scale with coarse spatial resolution, which is not enough for...
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Jinho Choi, Eduardo Pereyra, Cem Sarica, Changhyup Park and Joe M. Kang
The reliable predictions of liquid holdup and pressure drop are essential for pipeline design in oil and gas industry. In this study, the drift-flux approach is utilized to calculate liquid holdups. This approach has been widely used in formulation of th...
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