HIGHLIGHTS
- who: Da Li et al. from the College of Electronic Engineering, National University of Defense Technology, Hefei, China have published the Article: Deep Learning for Fingerprint Localization in Indoor and Outdoor Environments, in the Journal: (JOURNAL)
- what: Considering the state-of-the-art application of deep learning in image classification the authors design a location fingerprint image using Wi-Fi and magnetic field fingerprints for localization. In this work, deep residual network (Resnet) and transfer learning are introduced to develop a highly accurate localization system. Considering the outstanding performance of the density peak clustering (DPC . . .
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