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eess.SP2021
Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models
Fahad Alhomayani, Mohammad H. Mahoor
The location fingerprinting method, which typically utilizes supervised learning, has been widely adopted as a viable solution for the indoor positioning problem. Many indoor posit…
eess.SP2020
Deep Learning-based Symbolic Indoor Positioning using the Serving eNodeB
Fahad Alhomayani, Mohammad Mahoor
This paper presents a novel indoor positioning method designed for residential apartments. The proposed method makes use of cellular signals emitting from a serving eNodeB which el…