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Rohan S. Sharma and Serhat Hosder
The intent of this work was to investigate the feasibility of developing machine learning models for calculating values of airplane configuration design variables when provided time-series, mission-informed performance data. Shallow artificial neural net...
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Gongfa Chen, Xuedi Chen, Linqing Yang, Zejun Han and David Bassir
Based on the spectral element method (SEM) and a convolutional neural network (CNN), an inversion algorithm for the dynamic modulus of concrete pavement structures is proposed in this paper. In order to evaluate the service performance of pavement struct...
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Shanying Lin, Jialu Xu, Shengnan Liu, Muk Chen Ong and Wenhua Li
The gas?liquid two-phase flow patterns of subsea jumpers are identified in this work using a multi-sensor information fusion technique, simultaneously collecting vibration signals and electrical capacitance tomography of stratified flow, slug flow, annul...
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Fengyuan Yin, Xiaoming Yuan, Zhiao Ma and Xinyu Xu
Permanent magnet synchronous motor (PMSM) drive systems are commonly utilized in mobile electric drive systems due to their high efficiency, high power density, and low maintenance cost. To reduce the tracking error of the permanent magnet synchronous mo...
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Muhammad Anwar Ishak, Abdul Halim Abdul Latiff, Eric Tatt Wei Ho, Muhammad Izzuljad Ahmad Fuad, Nian Wei Tan, Muhammad Sajid and Emad Elsebakhi
The prediction of subsurface properties such as velocity, density, porosity, and water saturation has been the main focus of petroleum geosciences. Advanced methods such as Full Waveform Inversion (FWI), Joint Migration Inversion (JMI) and ML-Rock Physic...
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