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Miu Sakaida, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa and Hiroyuki Sugimori
Convolutional neural networks (CNNs) in deep learning have input pixel limitations, which leads to lost information regarding microcalcification when mammography images are compressed. Segmenting images into patches retains the original resolution when i...
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Hengzhi Hu, Hanwei Yang, Jiahong Wen, Min Zhang and Yanjuan Wu
Under climate warming, the frequency and intensity of extreme rainstorms-induced urban pluvial floods are significantly increasing, leading to severe flooding risks in megacities. An integrated model that incorporates rainfall processing, waterlogging si...
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Abrar Alamr and Abdelmonim Artoli
Anomaly detection is one of the basic issues in data processing that addresses different problems in healthcare sensory data. Technology has made it easier to collect large and highly variant time series data; however, complex predictive analysis models ...
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Anton Sysoev
The construction of a mathematical model of a complicated system is often associated with the evaluation of inputs? (arguments, factors) influence on the output (response), the identification of important relationships between the variables used, and red...
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Muhamad Azim Azhad Shahrim, Chen Ciang Chia, Hafiz Rashidi Ramli, Mohammad Yazdi Harmin and Jung-Ryul Lee
Aerospace thin-walled structures are susceptible to various forms of damage and they can be effectively inspected using Lamb wavefields. However, Lamb wavefields contain at least two dispersive modes which interfere with the generation of a clear image f...
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