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Shiu-Shin Lin, Jheng-Hua Song, Kai-Yang Zhu, Yi-Chuan Liu and Hsien-Cheng Chang
Typhoon intensity forecast is an important issue. The objective of this study is to construct a 5-day 12-hourly typhoon intensity forecast model based on the adaptive neuro-fuzzy inference systems (ANFIS) to improve the typhoon intensity forecast in the ...
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Hai Van Pham, Cu Kim Long, Phan Hung Khanh and Ha Quoc Trung
Problems of preeclampsia sign diagnosis are mostly based on symptom data with the characteristics of data collected periodically in uncertain, ambiguous, and obstetrician opinions. To reduce the effects of preeclampsia, many studies have investigated the...
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M. A. Inayathullaah, N. Sivakumar, Ananthakrishnan Balasundaram, R. Arul and S. Angalaeswari
This paper presents a modeling and performance evaluation of a five-phase PMBLDC motor with different controllers to analyze its transients and dynamic response with time domain specifications. Four different types of speed controllers, namely an Adaptiv...
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Rui Zhang, Shiyuan Li, Yang Liu, Guowei Li, Xin Jiang and Xiuwen Fan
In this work, to scientifically predict the color of damaged Korla fragrant pears during the storage period with lower economic loss and improved added value of the fragrant pears, eight pericarp color prediction models of damaged Korla fragrant pears du...
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Shuo Wang, Liaojun Zhang and Guojiang Yin
Research on the vibration response prediction and safety early warning is of great significance to the operation and management of pumping station engineering. In the current research, a hybrid prediction method was proposed to predict vibration response...
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