يعرض 1 - 10 نتائج من 22 نتيجة بحث عن '"Torres-Sospedra, Joaquin"', وقت الاستعلام: 0.69s تنقيح النتائج
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    المساهمون: Universidade do Minho

    وصف الملف: application/pdf

    العلاقة: R. Montoliu, A. Pérez-Navarro and J. Torres-Sospedra, "Efficient tuning of k NN hyperparameters for indoor positioning with N-TBEA," 2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Valencia, Spain, 2022, pp. 39-44, doi: 10.1109/ICUMT57764.2022.9943377.; 9798350398663; 2157-0221; https://ieeexplore.ieee.org/document/9943377Test

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    المساهمون: Universidade do Minho

    وصف الملف: application/pdf

    العلاقة: L. Klus, D. Quezada-Gaibor, J. Torres-Sospedra, E. S. Lohan, C. Granell and J. Nurmi, "Towards Accelerated Localization Performance Across Indoor Positioning Datasets," 2022 International Conference on Localization and GNSS (ICL-GNSS), Tampere, Finland, 2022, pp. 1-7, doi: 10.1109/ICL-GNSS54081.2022.9797035.; 9781665405751; 2325-0747; https://ieeexplore.ieee.org/document/9797035Test

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    المساهمون: Universidade do Minho

    وصف الملف: application/pdf

    العلاقة: D. Quezada-Gaibor, J. Torres-Sospedra, J. Nurmi, Y. Koucheryavy and J. Huerta, "SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning," 2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN), Beijing, China, 2022, pp. 1-8, doi: 10.1109/IPIN54987.2022.9918146.; 978-1-7281-6219-5; 2162-7347; 2471-917X; 978-1-7281-6218-8; https://ieeexplore.ieee.org/document/9918146Test

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    دورية أكاديمية

    المساهمون: National Ilan University, Department of Electrical Engineering, National Ilan University, Yilan 26047, Taiwan, Chongqing Key Lab of Mobile Communications Technology, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Xiamen University, Géolocalisation (AME-GEOLOC), Université Gustave Eiffel, Universidade do Minho = University of Minho Braga

    المصدر: ISSN: 1424-8220 ; Sensors ; https://hal.science/hal-04500567Test ; Sensors, 2023, 23 (3), pp.1445. ⟨10.3390/s23031445⟩.

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    مؤتمر
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    مؤتمر
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    دورية أكاديمية

    المساهمون: Universitat Oberta de Catalunya (UOC), Universidade do Minho

    وصف الملف: application/pdf

    العلاقة: Sensors, 2022, 22(12); 22;12; http://dx.doi.org/10.3390/s22124622Test; info:eu-repo/grantAgreement/H2020/101023072; Bellavista-Parent, V., Torres-Sospedra, J., & Pérez-Navarro, A. (2022). Comprehensive Analysis of Applied Machine Learning in Indoor Positioning Based on Wi-Fi: An Extended Systematic Review. Sensors, 22(12), 4622. MDPI AG. Retrieved from http://dx.doi.org/10.3390/s22124622Test; http://hdl.handle.net/10609/146996Test

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    مؤتمر
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    دورية أكاديمية

    وصف الملف: application/pdf

    العلاقة: Expert Systems with Applications (2018), v. 105; 1) Spanish Ministry of Economy and Competitiveness through the “Proyectos I + D Excelencia” programme 620 (TIN2015-70202-P) and 2) Jaume I University “Research promotion plan 2017” programme (UJI-B2017-45).; https://www.sciencedirect.com/science/article/pii/S0957417418302112Test; BELMONTE FERNÁNDEZ, Óscar; MONTOLIU COLÁS, Raúl; TORRES-SOSPEDRA, Joaquín; SANSANO-SANSANO, Emilio; CHIA-AGUILAR, Daniel (2018). A radiosity-based method to avoid calibration for indoor positioning systems. Expert Systems with Applications, v. 105, p. 89-101; http://hdl.handle.net/10234/175947Test; https://doi.org/10.1016/j.eswa.2018.03.054Test

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    رسالة جامعية