Jingkang Yang

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Understanding how brain functions has been an intriguing topic for years. With the recent progress on collecting massive data and developing advanced technology, people have become interested in addressing the challenge of decoding brain wave data into meaningful mind states, with many machine learning models and algorithms being revisited and developed ,(More)
This paper proposes an improved method which applies principal components analysis (PCA) algorithm to an existing fingerprinting localization method based on iterative K-means, grid scoring (KS) and AP scoring (AS). In the off-line phase, the suggested method evaluates the localization capability of every access point (AP) for the first step, and then(More)
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