José Antonio
García Naya
Profesor Titular de Universidad
Valentín
Barral Vales
Profesor Sustituto
Publicaciones en las que colabora con Valentín Barral Vales (29)
2024
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Air Quality Data from the Spanish University Admission Exams in June 2021 at the University of A Coruña
Zenodo
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Air Quality Data from the Spanish University Admission Exams in June 2021 at the University of A Coruña
Zenodo
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An IoT System for Smart Building Combining Multiple mmWave FMCW Radars Applied to People Counting
IEEE Internet of Things Journal, Vol. 11, Núm. 21, pp. 35306-35316
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An IoT System for Smart Building Combining Multiple mmWave FMCW Radars Applied to People Counting
Zenodo
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An IoT System for Smart Building Combining Multiple mmWave FMCW Radars Applied to People Counting
Zenodo
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An IoT System for Smart Building Combining Multiple mmWave FMCW Radars Applied to People Counting
Zenodo
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An IoT system for a smart campus: Challenges and solutions illustrated over several real-world use cases
Internet of Things, Vol. 25
2022
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An overview of IoT architectures, technologies, and existing open-source projects
Internet of Things (Netherlands), Vol. 20
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Fine Time Measurement for the Internet of Things: A Practical Approach Using ESP32
IEEE Internet of Things Journal, Vol. 9, Núm. 19, pp. 18305-18318
2020
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Environment cross validation of NLOS machine learning classification/mitigation in low-cost UWB positioning systems
IEEE DataPort
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Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments - Dataset
IEEE DataPort
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NLOS Identification and Mitigation Using Low-Cost UWB Devices
IEEE DataPort
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Using the Power Delay Profile to Accelerate the Training of Neural Network-Based Classifiers for the Identification of LOS and NLOS UWB Propagation Conditions
IEEE Access, Vol. 8, pp. 220205-220214
2019
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Environment cross validation of NLOS machine learning classification/mitigation in low-cost UWB positioning systems
IEEE DataPort
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Environment cross validation of NLOS machine learning classification/mitigation in low-cost UWB positioning systems
IEEE DataPort
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Environment cross validation of NLOS machine learning classification/mitigation in low-cost UWB positioning systems
IEEE DataPort
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Environment cross validation of NLOS machine learning classification/mitigation in low-cost UWB positioning systems
IEEE DataPort
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Environment cross validation of NLOS machine learning classification/mitigation in low-cost UWB positioning systems
IEEE DataPort
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Environmental cross-validation of NLOS machine learning classification/mitigation with low-cost uwb positioning systems
Sensors (Switzerland), Vol. 19, Núm. 24
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Impact of NLOS identification on UWB-based localization systems
CEUR Workshop Proceedings