https://github.com/disi-unibo-nlp/uwb-nlos-human-detection
Dataset for "Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models"
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: mdpi.com -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.7%) to scientific vocabulary
Keywords
deep-learning
human-detection
machine-learning
non-line-of-sight
radar
transfer-learning
ultra-wideband
Last synced: 4 months ago
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Repository
Dataset for "Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models"
Statistics
- Stars: 6
- Watchers: 2
- Forks: 3
- Open Issues: 0
- Releases: 0
Topics
deep-learning
human-detection
machine-learning
non-line-of-sight
radar
transfer-learning
ultra-wideband
Created about 4 years ago
· Last pushed about 4 years ago
https://github.com/disi-unibo-nlp/uwb-nlos-human-detection/blob/main/
# UWB NLOS Human Detection Data accompanying the MDPI Sensors 2022 paper ["Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models"](https://www.mdpi.com/1424-8220/22/4/1656).
Owner
- Name: DISI UniBo NLP
- Login: disi-unibo-nlp
- Kind: user
- Location: Italy
- Website: https://disi-unibo-nlp.github.io/
- Repositories: 20
- Profile: https://github.com/disi-unibo-nlp
NLU Research Group @ University of Bologna @ Department of Computer Science and Engineering (DISI)
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