Author
Qiusheng Li
Other affiliations: Chinese Ministry of Education, Guangzhou University, Monash University ...read more
Bio: Qiusheng Li is an academic researcher from City University of Hong Kong. The author has contributed to research in topics: Wind speed & Wind tunnel. The author has an hindex of 47, co-authored 429 publications receiving 8830 citations. Previous affiliations of Qiusheng Li include Chinese Ministry of Education & Guangzhou University.
Topics: Wind speed, Wind tunnel, Wind direction, Wind engineering, Vibration
Papers published on a yearly basis
Papers
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TL;DR: In this article, Wang et al. presented field measurement results of boundary layer wind characteristics over typical open country and urban terrains and wind-induced responses of two super-tall buildings during the passages of windstorms.
63 citations
TL;DR: In this article, an exact approach for free longitudinal vibrations of one-step non-uniform rods with classical and non-classical boundary conditions is presented, and the fundamental solutions that satisfy the normalization conditions are derived and used to establish the frequency equations for 1-step rods.
61 citations
TL;DR: In this article, a comparative evaluation of the onshore and offshore wind characteristics and their wind energy potentials in the southeast coastal region of China is presented, where the Weibull distribution function is verified to be a reliable model for both on-shore and off-shore wind speed predictions.
61 citations
TL;DR: In this paper, the results from a combined wind tunnel and full-scale study of the wind effects on a super-tall building with a height of 420 meters in Hong Kong were analyzed.
60 citations
TL;DR: In this paper, the effect of local geometric imperfections on the buckling and postbuckling of shear deformable laminated cylindrical shells subjected to combined axial compression and uniform temperature loading is investigated.
60 citations
Cited by
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TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.
Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …
33,785 citations
11 Dec 2012
1,704 citations
1,604 citations
01 Mar 1995
TL;DR: This thesis applies neural network feature selection techniques to multivariate time series data to improve prediction of a target time series and results indicate that the Stochastics and RSI indicators result in better prediction results than the moving averages.
Abstract: : This thesis applies neural network feature selection techniques to multivariate time series data to improve prediction of a target time series. Two approaches to feature selection are used. First, a subset enumeration method is used to determine which financial indicators are most useful for aiding in prediction of the S&P 500 futures daily price. The candidate indicators evaluated include RSI, Stochastics and several moving averages. Results indicate that the Stochastics and RSI indicators result in better prediction results than the moving averages. The second approach to feature selection is calculation of individual saliency metrics. A new decision boundary-based individual saliency metric, and a classifier independent saliency metric are developed and tested. Ruck's saliency metric, the decision boundary based saliency metric, and the classifier independent saliency metric are compared for a data set consisting of the RSI and Stochastics indicators as well as delayed closing price values. The decision based metric and the Ruck metric results are similar, but the classifier independent metric agrees with neither of the other metrics. The nine most salient features, determined by the decision boundary based metric, are used to train a neural network and the results are presented and compared to other published results. (AN)
1,545 citations