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Xiali Kong, Yonghua Xia, Xuequn Wu, Zhihe Wang, Kaihua Yang, Min Yan, Chen Li and Haoyu Tai
It is fundamental to acquire accurate point cloud information on rock discontinuities efficiently and comprehensively when evaluating the stability of rock masses. Taking a high and steep cliff as an example, we combined 3D laser scanning and UAV photogr...
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David Clement, Emmanuel Agu, John Obayemi, Steve Adeshina and Wole Soboyejo
Breast cancer accounts for 30% of all female cancers. Accurately distinguishing dangerous malignant tumors from benign harmless ones is key to ensuring patients receive lifesaving treatments on time. However, as doctors currently do not identify 10% to 3...
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Xiaojuan Liu, Shangbo Zhou, Shanxiong Chen, Zelin Yi, Hongyu Pan and Rui Yao
Buckwheat is an important cereal crop with high nutritional and health value. Buckwheat disease greatly affects the quality and yield of buckwheat. The real-time monitoring of disease is an essential part of ensuring the development of the buckwheat indu...
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Yingjie Wang, Lianhong Zhang, Wei Ma, Yanhui Wang, Wendong Niu, Yu Song and Weimin Wang
Accurate quantitative plankton observation is significant for biogeochemistry and environmental monitoring. However, current observation equipment is mostly shipborne, and there is a lack of long-term, large-scale, and low-cost methods for plankton obser...
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Mahmoud Maher ElMorshedy, Radwa Fathalla and Yasser El-Sonbaty
Compactness and separability of data points are two important properties that contribute to the accuracy of machine learning tasks such as classification and clustering. We propose a framework that enhances the goodness criteria of the two properties by ...
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