HIGHLIGHTS
- who: Andrea Piroddi and Maurizio Torregiani from the Department of Computer Science and Engineering, Universitu00e0 di Bologna, Bologna, Italypopulated areasUsing a dataset provided by the University of Antwerp, a neural network was have published the research work: Machine Learning Applied to LoRaWAN Network for Improving Fingerprint Localization Accuracy in Dense Urban Areas, in the Journal: Network 2023, 3, 199-217. of /2023/
- what: In the area of low-power wireless networks one technology that many researchers are focusing on relates to positioning methods such as fingerprinting in densely populated This work presents an experimental study . . .
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