(e.g., because you watched X, you may be interested in Y, etc.). Typical clustering algorithms are k-means, density based spatial clustering of applications with noise (DBSCAN) and mean-shift, where a distance to a cluster is computed with the hope of reflecting a degree of anomaly (e...
Trimmed categorical cross-entropy for deep learning with label noise. Electron. Lett. 2019, 55, 319–320. [CrossRef] 37. Dabbagchi, I. Power Systems Test Case Archive: 14 Bus Power Flow Test Case; University of Washington: Seattle, WA, USA. Available online: https://labs.ece.uw.edu/...
Deep multi-instance networks with sparse label assignment for whole mammogram classification. In International Conference on Medical Image Computing and Computer-Assisted Intervention; Springer: Cham, Switzerland, 2017; pp. 603–611. 157. Kooi, T.; Gubern-Merida, A.; Mordang, J.-J.; Mann, R....
Meanwhile, a well model is introduced in the loss function to approximate the high gradient variation near the source/sink terms, and a label-free physically informed deep convolutional neural network (PIDCNN) is established for simulating and predicting two-dimensional transient Darcy flow with ...
The research project in collaboration with NRC, Ottawa has been undertaken on this topic in order to realise the following major objectives: 1. Identifying key variables having dominant influences on the erosion loss during the gas turbine operation at high temperature and in the presence of ...
electronics Article Pre- and Post-Processing Algorithms with Deep Learning Classifier for Wi-Fi Fingerprint-Based Indoor Positioning Amir Haider , Yiqiao Wei , Shuzhi Liu and Seung-Hoon Hwang * Division of Electronics and Electrical Engineering, Dongguk University-Seoul, Seoul 04620, Korea; amirhaider...
Since audio samples were collected from real-life environments with actual airborne vehicles being recorded during flight, the need to artificially add background noise was eliminated. However, the limited number of flights resulted in a modest number of collected audio samples; this issue was ...