يعرض 1 - 10 نتائج من 65 نتيجة بحث عن '"Torres-Sospedra, Joaquin"', وقت الاستعلام: 0.66s تنقيح النتائج
  1. 1

    المساهمون: Universidade do Minho

    وصف الملف: application/pdf

    العلاقة: Chien, Y.-R.; Zhou, M.; Peng, A.; Zhu, N.; Torres-Sospedra, J. Signal Processing and Machine Learning for Smart Sensing Applications. Sensors 2023, 23, 1445. https://doi.org/10.3390/s23031445Test; 1424-8220; 36772484; https://www.mdpi.com/1424-8220/23/3/1445Test

  2. 2

    المساهمون: Universidade do Minho

    وصف الملف: application/pdf

    العلاقة: Ramires, M., Torres-Sospedra, J., & Moreira, A. (2022, September). Accurate and Efficient Wi-Fi Fingerprinting-Based Indoor Positioning in Large Areas. In 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) (pp. 1-6). IEEE.; 978-1-6654-5469-8; 1090-3038; 2577-2465; 978-1-6654-5468-1; https://ieeexplore.ieee.org/abstract/document/10012985Test

  3. 3

    المساهمون: Universidade do Minho

    مصطلحات موضوعية: Science & Technology

    وصف الملف: application/pdf

    العلاقة: Perez-Navarro, A.; Montoliu, R.; Torres-Sospedra, J. Advances in Indoor Positioning and Indoor Navigation. Sensors 2022, 22, 7375. https://doi.org/10.3390/s22197375Test; 1424-8220; 36236470; 7375; https://www.mdpi.com/1424-8220/22/19/7375Test

  4. 4

    المساهمون: Universidade do Minho

    وصف الملف: application/pdf

    العلاقة: Ometov, A.; Torres-Sospedra, J. Measurements of User and Sensor Data from the Internet of Things (IoT) Devices. Data 2022, 7, 52. https://doi.org/10.3390/data7050052Test; 2306-5729; https://www.mdpi.com/2306-5729/7/5/52Test

  5. 5

    المساهمون: Universidade do Minho

    وصف الملف: application/pdf

    العلاقة: Torres-Sospedra, J.; Lohan, E.S.; Molinaro, A.; Moreira, A.; Rusu-Casandra, A.; Smékal, Z. Applications and Innovations on Sensor-Enabled Wearable Devices. Sensors 2022, 22, 2599. https://doi.org/10.3390/s22072599Test; 1424-8220; 35408214; https://www.mdpi.com/1424-8220/22/7/2599Test

  6. 6

    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

  7. 7

    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

  8. 8

    المساهمون: Universidade do Minho

    وصف الملف: application/pdf

    العلاقة: T. Bravenec, J. Torres-Sospedra, M. Gould and T. Fryza, "What Your Wearable Devices Revealed About You and Possibilities of Non-Cooperative 802.11 Presence Detection During Your Last IPIN Visit," 2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN), Beijing, China, 2022, pp. 1-7, doi: 10.1109/IPIN54987.2022.9918134; 9781728162188; 2162-7347; https://ieeexplore.ieee.org/document/9918134Test

  9. 9

    المساهمون: Universidade do Minho

    وصف الملف: application/pdf

    العلاقة: Quezada-Gaibor, D., Torres-Sospedra, J., Nurmi, J., Koucheryavy, Y., & Huerta, J. (2022, June 7). Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification. 2022 International Conference on Localization and GNSS (ICL-GNSS). IEEE. http://doi.org/10.1109/icl-gnss54081.2022.9797021Test; 9781665405751; 2325-0747; https://ieeexplore.ieee.org/document/9797021Test

  10. 10

    المساهمون: Universidade do Minho

    وصف الملف: application/pdf

    العلاقة: D. Quezada-Gaibor et al., "Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets," 2022 23rd IEEE International Conference on Mobile Data Management (MDM), Paphos, Cyprus, 2022, pp. 349-354, doi: 10.1109/MDM55031.2022.00079; 9781665451765; 1551-6245; https://ieeexplore.ieee.org/document/9861169Test