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1
المساهمون: Universidade do Minho
مصطلحات موضوعية: Bluetooth Low Energy, Collaborative Indoor Positioning, Multilayer Perceptron, Received Signal Strength, Ciências Naturais::Ciências da Computação e da Informação, Science & Technology
وصف الملف: application/pdf
العلاقة: P. Pascacio, J. Torres–Sospedra, S. Casteleyn and E. S. Lohan, "A Collaborative Approach Using Neural Networks for BLE-RSS Lateration-Based Indoor Positioning," 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, pp. 01-09, doi: 10.1109/IJCNN55064.2022.9892484; 9781728186719; 2161-4393; https://ieeexplore.ieee.org/document/9892484Test
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2دورية أكاديمية
المصدر: Internet of Things 22
مصطلحات موضوعية: attribute-based credentials, decentralized authentication, privacy, anonymity, collaborative indoor positioning systems, bluetooth low energy, wearables
العلاقة: info:eu-repo/grantAgreement/EC/H2020/813278/; info:eu-repo/grantAgreement/EC/H2020/101023072/; https://zenodo.org/communities/a_wearTest; https://zenodo.org/record/7979821Test; https://doi.org/10.1016/j.iot.2023.100801Test; oai:zenodo.org:7979821
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3مؤتمر
مصطلحات موضوعية: attribute-based credentials, collaborative indoor positioning systems, privacy, anonymity, bluetooth low energy, wearables
وصف الملف: application/pdf
العلاقة: Proceedings of the 18th International Conference on Security and Cryptography (SECRYPT 2021).Libro de actas; https://www.scitepress.org/Link.aspx?doi=10.5220/0010582507910797Test; CASANOVA-MARQUÉS, Raúl, et al. Anonymous attribute-based credentials in collaborative indoor positioning systems. 2021.; http://hdl.handle.net/10234/196875Test
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4مؤتمر
مصطلحات موضوعية: attribute-based credentials, collaborative indoor positioning systems, privacy, anonymity, bluetooth low energy, wearables
العلاقة: info:eu-repo/grantAgreement/EC/H2020/813278/; https://zenodo.org/communities/a_wearTest; https://zenodo.org/record/5504087Test; https://doi.org/10.5220/0010582507910797Test; oai:zenodo.org:5504087
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5مؤتمر
مصطلحات موضوعية: Collaborative Indoor Positioning, Multilayer Perceptron, Received Signal Strength, Bluetooth Low Energy
العلاقة: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022. p. 01-09; https://ieeexplore.ieee.org/document/9892484Test; P. Pascacio, J. Torres–Sospedra, S. Casteleyn and E. S. Lohan, "A Collaborative Approach Using Neural Networks for BLE-RSS Lateration-Based Indoor Positioning," 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, pp. 01-09, doi:10.1109/IJCNN55064.2022.9892484.; http://hdl.handle.net/10234/202522Test; https://doi.org/10.1109/IJCNN55064.2022.9892484Test
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6
المؤلفون: Pascacio, Pavel, Torres-Sospedra, Joaquín, Casteleyn, Sven
المساهمون: Tampere University, Electrical Engineering
المصدر: WiMob
17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)مصطلحات موضوعية: Computer science, computer.internet_protocol, 213 Electronic, automation and communications engineering, electronics, Indoor Positioning, Real-time computing, positioning estimation, BLE beacon selection, RSSI, lateration, computer, Selection (genetic algorithm), Bluetooth Low Energy
وصف الملف: fulltext
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0db0970f41b7bead2eee57c2eac871eeTest
https://doi.org/10.1109/wimob52687.2021.9606419Test