المؤلفون: Quezada-Gaibor, Darwin, Torres-Sospedra, Joaquín, Nurmi, Jari, Koucheryavy, Yevgeni, Huerta, Joaquin

المساهمون: Universidade do Minho

مصطلحات موضوعية: Indoor Localisation, Wi-Fi fingerprinting, deep learning, extreme learning machine, Ciências Naturais::Ciências da Computação e da Informação, Science & Technology

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

الإتاحة: https://hdl.handle.net/1822/82039Test

المؤلفون: Potortì, Francesco, Park, Sangjoon, Crivello, Antonino, Palumbo, Filippo, GIROLAMI, MICHELE, Barsocchi, Paolo, Lee, Soyeon, Torres-Sospedra, Joaquín, Jimenez Ruiz, Antonio Ramon, Perez-Navarro, Antoni, Mendoza-Silva, Germán Martín, Seco, Fernando, ortiz, miguel, PERUL, Johan, Renaudin, Valerie, Kang, Hyunwoong, Park, Soyoung, Lee, Jae Hong, Park, Chan Gook, Ha, Jisu, Han, JaeSeung, Park, Changjun, Kim, Keunhye, Lee, Yonghyun, Gye, Seunghun, lee, keumryeol, Kim, Eunjee, Choi, Jeongsik, choi, Yang-Seok, Talwar, Shilpa, Cho, Seong Yun, Ben-Moshe, Boaz, Scherbakov, Alex, Antsfeld, Leonid, Sansano-Sansano, Emilio, Chidlovskii, Boris, Kronenwett, Nikolai, Prophet, Silvia, Landay, Yael, Marbel, Revital, Zheng, Lingxiang, Peng, Ao, Lin, Zhichao, Wu, Bang, Ma, Chengqi, Poslad, Stefan, Selviah, David, Wu, Wei, Ma, Zixiang, Zhang, Wenchao, Wei, Dongyan, Yuan, Hong, Jiang, Jun-Bang, Huang, Shao-Yung, Liu, Jing-Wen, Su, Kuan-Wu, Leu, Jenq-Shiou, Nishiguchi, Kazuki, BOUSSELHAM, Walid, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-ichiro, Cortés Puschel, Vicente, Lungenstrass, Tomás, Ashraf, Imran, Lee, Chanseok, Ali, Muhammad Usman, Im, Yeongjun, Kim, Gunzung, Eom, Jeongsook, Hur, Soojung, Park, Yongwan, Opiela, Miroslav, Moreira, Adriano, Nicolau, Maria João, Pendão, Cristiano, Silva, Ivo, Meneses, Filipe, Costa, António, Trogh, Jens, Plets, David, Chien, Ying-Ren, Chang, Tzu-Yu, Fang, Shih-Hau, Tsao, Yu

مصطلحات موضوعية: indoor localisation, indoor navigation, competition, benchmarking, smartphone-based positioning, foot-mounted pedestrian dead reckoning, Wi-Fi fingerprinting, magnetic field, camera-based positioning, inertial-based positioning, sensor fusion, Kalman filter, particle filter, stakeholders, atmospheric measurements, particle measurements, real-time systems, wireless fidelity, sensor systems

وصف الملف: application/pdf

العلاقة: Development of human enhancement fire helmet and fire suppression support system; Basic Science Research Program; ICT Research and Development Program of MSIP/IITP (Development of Precise Positioning Technology for the Enhancement of Pedestrian Position/Spatial Cognition and Sports Competition Analysis); MICROCEBUS; REPNIN PLUS; TECHNOFUSION(III)CM; Development of wireless communication tracking-based location information system in disaster scene for fire-fighters and person who requested rescue; Strategic Priority Research Program; IEEE Access, Vol. 8 (2020); F. Potortì et al., "The IPIN 2019 Indoor Localisation Competition—Description and Results," in IEEE Access, vol. 8, pp. 206674-206718, 2020, doi:10.1109/ACCESS.2020.3037221.; http://hdl.handle.net/10234/200929Test

الإتاحة: https://doi.org/10.1109/ACCESS.2020.3037221Test
http://hdl.handle.net/10234/200929Test

المؤلفون: Potorti, Francesco, Park, Sangjoon, Crivello, Antonino, Palumbo, Filippo, Girolami, Michele, Barsocchi, Paolo, Lee, Soyeon, Torres-Sospedra, Joaquín, Ruiz, Antonio Ramon Jimenez, Perez-Navarro, Antoni, Mendoza-Silva, German Martin, Seco, Fernando, Ortiz, Miguel, Perul, Johan, Renaudin, Valerie, Kang, Hyunwoong, Park, Soyoung, Lee, Jae Hong, Park, Chan Gook, Ha, Jisu, Han, Jaeseung, Park, Changjun, Kim, Keunhye, Lee, Yonghyun, Gye, Seunghun, Lee, Keumryeol, Kim, Eunjee, Choi, Jeong Sik, Choi, Yang Seok, Talwar, Shilpa, Cho, Seong Yun, Ben-Moshe, Boaz, Scherbakov, Alex, Antsfeld, Leonid, Sansano-Sansano, Emilio, Chidlovskii, Boris, Kronenwett, Nikolai, Prophet, Silvia, Landay, Yael, Marbel, Revital, Zheng, Lingxiang, Peng, Ao, Lin, Zhichao, Wu, Bang, Ma, Chengqi, Poslad, Stefan, Selviah, David R., Wu, Wei, Ma, Zixiang, Zhang, Wenchao, Wei, Dongyan, Yuan, Hong, Jiang, Jun-Bang, Huang, Shao-Yung, Liu, Jing-Wen, Su, Kuan-Wu, Nishiguchi, Kazuki, Bousselham, Walid, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-Ichiro, Cortes Puschel, Vicente, Lungenstrass Poulsen, Tomas, Ashraf, Imran, Lee, Chanseok, Ali, Muhammad Usman, Im, Yeongjun, Kim, Gunzung, Eom, Jeongsook, Hur, Soojung, Park, Yongwan, Opiela, Miroslav, Moreira, Adriano, Nicolau, Maria João, Pendão, Cristiano Gonçalves, Silva, Ivo Miguel Menezes, Meneses, Filipe, Costa, António, Trogh, Jens, Plets, David, Chien, Ying-Ren, Chang, Tzu-Yu, Fang, Shih-Hau, Tsao, Yu

مصطلحات موضوعية: benchmarking, camera-based positioning, competition, foot-mounted pedestrian dead reckoning, Indoor localisation, indoor navigation, inertial-based positioning, Kalman filter, magnetic field, particle filter, sensor fusion, smartphone-based positioning, Wi-Fi fingerprinting, Sensors, Wireless fidelity, Sensor systems, Real-time systems, Particle measurements, Atmospheric measurements, Stakeholders, Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática, Science & Technology

وصف الملف: application/pdf

العلاقة: https://ieeexplore.ieee.org/document/9253514Test; F. Potortì et al., "The IPIN 2019 Indoor Localisation Competition—Description and Results," in IEEE Access, vol. 8, pp. 206674-206718, 2020, doi:10.1109/ACCESS.2020.3037221; http://hdl.handle.net/1822/70552Test

الإتاحة: https://doi.org/10.1109/ACCESS.2020.3037221Test
http://hdl.handle.net/1822/70552Test

المؤلفون: Quezada Gaibor, Darwin, Torres-Sospedra, Joaquín, Nurmi, Jari, Koucheryavy, Yevgeni, Huerta, Joaquin

مصطلحات موضوعية: indoor localisation, Wi-Fi fingerprinting, deep learning, extreme learning machine

العلاقة: A-WEAR: A network for dynamic wearable applications with privacy constraints, http://www.a-wear.euTest; 2022 International Conference on Localization and GNSS (ICL-GNSS). Conference Proceedings; https://ieeexplore.ieee.org/document/9797021Test; D. Quezada-Gaibor, J. Torres-Sospedra, J. Nurmi, Y. Koucheryavy and J. Huerta, "Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification," 2022 International Conference on Localization and GNSS (ICL-GNSS), 2022, pp. 01-06, doi:10.1109/ICL-GNSS54081.2022.9797021.; http://hdl.handle.net/10234/200743Test; https://doi.org/10.1109/ICL-GNSS54081.2022.9797021Test

الإتاحة: https://doi.org/10.1109/ICL-GNSS54081.2022.9797021Test
http://hdl.handle.net/10234/200743Test

المؤلفون: Darwin Quezada-Gaibor, Joaquin Torres-Sospedra, Jari Nurmi, Yevgeni Koucheryavy, Joaquin Huerta

المساهمون: Universidade do Minho, Nurmi, Jari, Lohan, Elena-Simona, Sospedra, Joaquin Torres, Kuusniemi, Heidi, Ometov, Aleksandr, Tampere University, Electrical Engineering

المصدر: 2022 International Conference on Localization and GNSS (ICL-GNSS)

مصطلحات موضوعية: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Science & Technology, 213 Electronic, automation and communications engineering, electronics, deep learning, Ciências Naturais::Ciências da Computação e da Informação, Machine Learning (cs.LG), extreme learning machine, Wi-Fi fingerprinting, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Indoor Localisation, indoor localisation

وصف الملف: application/pdf; fulltext

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eeabf107332539e7a771b7baa271151dTest