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Ping Huang and Yafeng Wu
Airborne speech enhancement is always a major challenge for the security of airborne systems. Recently, multi-objective learning technology has become one of the mainstream methods of monaural speech enhancement. In this paper, we propose a novel multi-o...
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Kayal Lakshmanan, Matt Roach, Cinzia Giannetti, Shubham Bhoite, David George, Tim Mortensen, Manduhu Manduhu, Behzad Heravi, Sharadha Kariyawasam and Xianghua Xie
Vehicle detection in parking areas provides the spatial and temporal utilisation of parking spaces. Parking observations are typically performed manually, limiting the temporal resolution due to the high labour cost. This paper uses simulated data and tr...
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Rahmayati Alindra, Purnomo Sidi Priambodo and Kalamullah Ramli
Light Fidelity (LiFi) technology has gained attention and is growing rapidly today. Utilizing light as a propagation medium allows LiFi to promise a wider bandwidth than existing Wireless Fidelity (WiFi) technology and enables the implementation of cellu...
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Jingying Zhang and Tengfei Bao
Crack detection is an important component of dam safety monitoring. Detection methods based on deep convolutional neural networks (DCNNs) are widely used for their high efficiency and safety. Most existing DCNNs with high accuracy are too complex for use...
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Rongke Wei, Anyang Song, Huixian Duan and Haodong Pei
With the development of space technology, deep learning methods, with their excellent generalization ability, are increasingly applied in various space activities. The space object data is difficult to obtain, which greatly limits its application in spac...
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