Search Results for author: Tim Farnham

Found 3 papers, 0 papers with code

Deep Transfer Learning for WiFi Localization

no code implementations8 Mar 2021 Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert Piechocki, Angela Doufexi, Tim Farnham

Finally, an ablation study of the training dataset shows that, in both office and sport hall scenarios, after reusing the feature extraction layers of the base model, only 55% of the training data is required to obtain the models' accuracy similar to the base models.

Transfer Learning

Wireless Localisation in WiFi using Novel Deep Architectures

no code implementations16 Oct 2020 Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert Piechocki, Angela Doufexi, Tim Farnham

Meanwhile, using a well-organised architecture, the neural network models can be trained directly with raw data from the CSI and localisation features can be automatically extracted to achieve accurate position estimates.

Standing on the Shoulders of Giants: AI-driven Calibration of Localisation Technologies

no code implementations30 May 2019 Aftab Khan, Tim Farnham, Roget Kou, Usman Raza, Thajanee Premalal, Aleksandar Stanoev, William Thompson

High accuracy localisation technologies exist but are prohibitively expensive to deploy for large indoor spaces such as warehouses, factories, and supermarkets to track assets and people.

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