SensorOrgNet / Recurrent_Neural_Networks_for_Accurate_RSSI_Indoor_Localization

Source code for M.T. Hoang, B. Yuen, X. Dong, T. Lu, R. Westendorp and K. Reddy, “Recurrent Neural Networks for Accurate RSSI Indoor Localization,” IEEE Internet of Things Journal, 2019

Date Created 2022-03-23 (2 years ago)

Commits 5 (last one 2 years ago)

Stargazers 44 (0 this week)

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RepositoryStats indexes 584,353 repositories, of these SensorOrgNet/Recurrent_Neural_Networks_for_Accurate_RSSI_Indoor_Localization is ranked #493,318 (16th percentile) for total stargazers, and #535,930 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #94,984/116,326.

SensorOrgNet/Recurrent_Neural_Networks_for_Accurate_RSSI_Indoor_Localization is also tagged with popular topics, for these it's ranked: deep-learning (#7,391/8389), wifi (#386/428)

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Homepage URL: http://sensor-net.net

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wifi wifi-data wifi-rssi fingerprint indoor-maps wifi-signal wifi-locator deep-learning wifi-location fingerprinting indoor-mapping indoor-navigation wifi-fingerprints wifi-localization indoor-positioning indoor-localisation indoor-localization wifi-fingerprinting wifi-signal-strength recurrent-neural-networks

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updated: 2024-11-19 @ 08:27am, id: 473037147 / R_kgDOHDH5Ww