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The effectiveness of the proposed data augmentation method is clearly exhibited in the results, measured not just by localization performance, but also by the variety of RSS patterns it creates. Compared to fingerprint, random forest, and its base dataset with localization models, extendGAN+ showcases significant improvements, reaching up to 2347%, 2535%, and 1888% respectively. Beyond existing GAN+ methods, transfer learning streamlines the t
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