المؤلفون: Prieto Fernández, Natalia, Fernández Blanco, Sergio, Fernández Blanco, Álvaro, Benítez Andrades, José Alberto, Carro de Lorenzo, Francisco Julián, Benavides Cuéllar, María del Carmen

المساهمون: Ingenieria de Sistemas y Automatica, Escuela de Ingenierias Industrial, Informática y Aeroespacial

مصطلحات موضوعية: Ingeniería de sistemas, Ingeniería industrial, Simultaneous localization and mapping, Laser radar, Feature extraction, Computational efficiency, Signal to noise ratio, Sensor phenomena and characterization, 3310 Tecnología Industrial

العلاقة: Prieto-Fernández, N., Fernández-Blanco, S., Fernández-Blanco, Á., Benítez-Andrades, J. A., Carro-De-Lorenzo, F., & Benavides, C. (2023). Weighted Conformal LiDAR-Mapping for Structured SLAM. IEEE Transactions on Instrumentation and Measurement, 72, 1-10. https://doi.org/10.1109/TIM.2023.3284143Test; https://hdl.handle.net/10612/17984Test; https://doi.org/10.1109/TIM.2023.3284143Test

الإتاحة: https://doi.org/10.1109/TIM.2023.3284143Test
https://hdl.handle.net/10612/17984Test

المؤلفون: Noor, Mohd Halim Mohd, Nazir, Amril, Wahab, Mohd Nadhir Ab, Ling, Jodene Ooi Yen

المصدر: All Works

مصطلحات موضوعية: Data models, denoising autoencoder, Diseases, Feature extraction, freezing of gait, Legged locomotion, Parkinson’s disease, Sensitivity, Sensor phenomena and characterization, Support vector machines, unsupervised learning, Computer Sciences

وصف الملف: application/pdf

العلاقة: https://zuscholars.zu.ac.ae/works/4465Test; https://zuscholars.zu.ac.ae/cgi/viewcontent.cgi?article=5464&context=worksTest

الإتاحة: https://zuscholars.zu.ac.ae/works/4465Test
https://zuscholars.zu.ac.ae/cgi/viewcontent.cgi?article=5464&context=worksTest

المؤلفون: Wang, W, Wang, B, Zhao, P, Chen, C, Clark, R, Yang, B, Markham, A, Trigoni, N

المصدر: 968 ; 959

مصطلحات موضوعية: Science & Technology, Technology, Physical Sciences, Engineering, Electrical & Electronic, Instruments & Instrumentation, Physics, Applied, Laser radar, Sensors, Location awareness, Visualization, Feature extraction, Robot sensing systems, Sensor phenomena and characterization, LiDAR sensor relocalization, LiDAR point cloud, sensor applications, INDOOR LOCALIZATION, Analytical Chemistry, 0205 Optical Physics, 0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering

العلاقة: IEEE Sensors Journal; http://hdl.handle.net/10044/1/93998Test

الإتاحة: https://doi.org/10.1109/JSEN.2021.3128683Test
http://hdl.handle.net/10044/1/93998Test

المؤلفون: Syed U. Yunas, Krikor B. Ozanyan

المصدر: YUNAS, S U & Ozanyan, K 2021, ' Gait Activity Classification using Multi-Modality Sensor Fusion: A Deep Learning Approach ', IEEE Sensors Journal, vol. 21, 09424038 . https://doi.org/10.1109/JSEN.2021.3077698Test

مصطلحات موضوعية: Artificial intelligence, Computer science, Acceleration, Feature extraction, Convolutional neural network, Gait (human), Inertial measurement unit, ambulatory inertial sensors, convolutional neural networks, Electrical and Electronic Engineering, Ground reaction force, Instrumentation, Sensor fusion, Artificial neural network, Foot, Sensors, business.industry, inertial measurement unit, Deep learning, deep learning, Pattern recognition, floor sensors, Sensor phenomena and characterization, long short-term memory, business, artificial neural networks

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4aa2ce4fe411f4eb024d20ec445e838Test
https://doi.org/10.1109/jsen.2021.3077698Test

المؤلفون: Chidurala, Veena

مرشدي الرسالة: Li, Xinrong, Fu, Song, Mahbub, Ifana, Sun, Hua, Hamner, Jesse

مصطلحات موضوعية: Thermal sensors, Infrared array sensors, Occupancy monitoring, Sensor phenomena and characterization, Feature extraction, Classification, Machine learning, Internet of Things, Smart buildings, Engineering, Electronics and Electrical, Engineering, General

وصف الملف: Text

الإتاحة: https://digital.library.unt.edu/ark:/67531/metadc1987151Test/

المؤلفون: Yuan, Ruiwen, Wang, Junping

مصطلحات موضوعية: Feature extraction, Sensors, Human activity recognition, Internet of Things, Data models, Sensor phenomena and characterization, Data mining, Activity feature extraction, deep learning, human activity recognition (HAR), semisupervised learning, WEARABLE SENSOR, LEARNING APPROACH, FEATURE FUSION, Computer Science, Engineering, Telecommunications, Information Systems, Electrical & Electronic

العلاقة: IEEE INTERNET OF THINGS JOURNAL; http://ir.ia.ac.cn/handle/173211/53537Test; http://ir.ia.ac.cn/handle/173211/53538Test

الإتاحة: https://doi.org/10.1109/JIOT.2023.3234053Test
http://ir.ia.ac.cn/handle/173211/53537Test
http://ir.ia.ac.cn/handle/173211/53538Test

المؤلفون: Luo, Guiyang, Zhang, Hui, Yuan, Quan, Li, Jinglin, Wang, Fei-Yue

مصطلحات موضوعية: Roads, Correlation, Feature extraction, Sensors, Deep learning, Convolution, Sensor phenomena and characterization, Traffic forecasting, graph convolutional network, spatial-temporal networks, PREDICTION, DEEP, Engineering, Transportation, Civil, Electrical & Electronic, Transportation Science & Technology

العلاقة: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS; http://ir.ia.ac.cn/handle/173211/49529Test

الإتاحة: https://doi.org/10.1109/TITS.2022.3167019Test
http://ir.ia.ac.cn/handle/173211/49529Test

المؤلفون: Thomas, Ilias, Westin, Jerker, Alam, Moudud, 1976, Bergquist, F., Nyholm, D., Senek, M., Memedi, Mevludin

المصدر: IEEE journal of biomedical and health informatics. 22(5):1341-1349

مصطلحات موضوعية: Accelerometers, Accelerometry, Diseases, Feature extraction, Levodopa response, Machine learning, Parkinson's disease, Pattern recognition, Sensor phenomena and characterization, Signal processing, Wearable sensors, Wrist, Complex Systems – Microdata Analysis, Komplexa system - mikrodataanalys

وصف الملف: print

الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:du-26745Test

المؤلفون: Nougarou, F., Campeau-Lecours, A., Islam, R., Massicotte, D., Gosselin, B.

مصطلحات موضوعية: Pattern recognition, Muscles, Feature extraction, Sensor phenomena and characterization, Image resolution, Filtering

وصف الملف: application/pdf

العلاقة: https://depot-e.uqtr.ca/id/eprint/10150/1/MASSICOTTE_D_34_POST.pdfTest; Nougarou, F., Campeau-Lecours, A., Islam, R., Massicotte, D. et Gosselin, B. (2018, October 28-30). Muscle activity distribution features extracted from HD sEMG to perform forearm pattern recognition. Dans 2018 IEEE Life Sciences Conference (LSC), Montreal, Canada.

الإتاحة: https://doi.org/10.1109/LSC.2018.8572204Test
https://depot-e.uqtr.ca/id/eprint/10150Test/
https://depot-e.uqtr.ca/id/eprint/10150/1/MASSICOTTE_D_34_POST.pdfTest

المؤلفون: Odat, Enas M., Shamma, Jeff S., Claudel, Christian

المساهمون: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Electrical Engineering Program, The University of Texas at Austin, Austin, TX 78712 USA.

مصطلحات موضوعية: Acoustics, Estimation, Feature extraction, Sensor phenomena and characterization, Sensor systems, Wireless sensor networks

العلاقة: http://ieeexplore.ieee.org/document/8039243Test/; Odat E, Shamma JS, Claudel C (2017) Vehicle Classification and Speed Estimation Using Combined Passive Infrared/Ultrasonic Sensors. IEEE Transactions on Intelligent Transportation Systems: 1–14. Available: http://dx.doi.org/10.1109/TITS.2017.2727224Test.; IEEE Transactions on Intelligent Transportation Systems; http://hdl.handle.net/10754/625775Test

الإتاحة: https://doi.org/10.1109/TITS.2017.2727224Test
http://hdl.handle.net/10754/625775Test