HIGHLIGHTS
- who: Jian Huang and colleagues from the Department of Electronic Engineering, University of Electronic Science and Technology of China have published the research: Co-Occurrence Fingerprint Data-Based Heterogeneous Transfer Learning Framework for Indoor Positioning, in the Journal: Sensors 2022, 22, 9127. of 24/Nov/2022
- what: Oriented by the aforementioned problems, the authors propose the HTL-CD framework for FIPS, capable of narrowing down cross-domain distribution differences, capturing the degree of correlation in both homogeneous and heterogeneous cases, and facilitating better learning performances. In this article, the objective was to design accurate and . . .
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