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Varsha S. Lalapura, Veerender Reddy Bhimavarapu, J. Amudha and Hariram Selvamurugan Satheesh
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, sentiment classification, weather prediction, etc., are now performed by well-trained RNNs. Local o...
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Fan Yang, Mingyue Lin, Zongmin Hu and Guilai Han
This paper investigates the flowfield patterns and distributions of surface heat flux of the cantilevered injection system for oblique detonation engine inlets. Three-dimensional complex shock wave/boundary layer interaction and shock wave/shock wave int...
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Dimitris Mourtzis and Nikos Balkamos
In the era of digital transformation, industry is facing multiple challenges due to the need for implementation of the Industry 4.0 standards, as well as the volatility of customer demands. The latter has created the need for the design and operation of ...
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Shuangquan Li, Shangyi Ma and Shaoqing Wang
When the complex Morlet function (CMOR) is used as a wavelet basis, it is necessary to select optimal bandwidth and center frequency. However, the method to select the optimal CMOR wavelet parameters for one specific frequency is still unclear. In this p...
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Zhishan Huang, Fang Fang, Lingyun Ding, Ke Yu, Lijuan Zhang and Hailong Lu
The special characteristics of ocean ecosystems, such as the high salinity and pressure, low temperature, and nutrition, makes marine microorganisms diverse in species, gene composition, and ecological functions. Recent advances in molecular biology tech...
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