Extreme learning machines for feature learning by Liyanaarachchi Lekamalage, Chamara Kasun

“…Hierarchal features consist of multiple levels and the low level features represent edges of an image such as lines and curves while high level features represent parts of the image such as nose, eyes of a face. …”
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Dynamics and stability of evaporating and condensing liquid layers by Wei, Tao

“…Finally, conclusions are drawn, and perspectives of future study based on these works have been proposed, including to model the dynamics of thin evaporating droplets with moving contact lines resulting from the successive touchdown of an evaporating layer and to investigate the relation between short-wave convection and long-wave deformation instabilities in the presence of phase change.…”
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Unsupervised bayesian generative methods by Li, Shaohua

“…This finding bridges the two very different lines of model selection methods. The third task is about Word Embedding, a technique that maps words in a natural language to continuous vectors which encode the semantic/syntactic regularities among the words. …”
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Semantic scene understanding on 3D point clouds by Dong, Shichao

“…Robotic techniques have automated many processes in production lines. However, in flexible production scenarios, certain tasks cannot yet be fully handled by robots and still require human involvement. …”
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Next generation design of floating systems for coastal solar farms by Bi, Cheng

“…Experiments on a novel adaptive barrier-mooring system (ABMS) including perimeter pontoons, submerged barriers, clump weights, mooring lines and anchors were conducted to examine the adaptivity of ABMS to a large tidal range as well as its performance on platform stabilization under wave action. …”
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Antidiabetic activity of Curculigo latifolia extracts in vitro and in vivo studies by Ishak, Nur Akmal

“…In the present study, antidiabetic properties of C. latifolia in cell lines (in vitro) and in diabetic-induced rats were determined. …”
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Computational analysis for infectious diseases surveillance and host-pathogen interactions (in the context of Influenza A viruses) by Beyene, Biruhalem Taye

“…We used host gene expression signatures of cell lines from three species (A549 (human), CEF (chicken), and MDCK (canine) in response to six IAVs (H1N1/WSN, H5N2/F59, H5N2/F118, H5N2/F189, H5N3 and H9N2 viruses). …”
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Tsewang Norbu NGB by Cantwell, C, Mayer, R

“…We give these where they occur: in due course, we intend to expand the entries for the opening formula to give the opening lines, even when a version of the classic formula does not occur. …”