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1دورية أكاديمية
المؤلفون: Andrej Hrovat, Aleš Simončič, Teodora Kocevska, Grega Morano, Aleš Švigelj, Tomaž Javornik
المصدر: Journal of Communications Software and Systems, Vol 20, Iss 1, Pp 23-37 (2024)
مصطلحات موضوعية: terahertz - thz, thz frequency band, channel parameters, integrated communications and sensing - isac, electromagnetic waves -em waves, radio frequency (rf) sensing, thz channel modeling, Computer software, QA76.75-76.765
وصف الملف: electronic resource
العلاقة: https://jcoms.fesb.unist.hr/10.24138/jcomss-2023-0174Test/; https://doaj.org/toc/1845-6421Test; https://doaj.org/toc/1846-6079Test
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2دورية أكاديمية
المؤلفون: Hameed, Hira, Tahir, Ahsen, Usman, Muhammad, Zhu, Jiang, Lubna, Abbas, Hasan, Ramzan, Naeem, Cui, Tie Jun, Imran, Muhammad Ali, Abbasi, Qammer H.
المصدر: Hameed , H , Tahir , A , Usman , M , Zhu , J , Lubna , Abbas , H , Ramzan , N , Cui , T J , Imran , M A & Abbasi , Q H 2024 , ' Wi-Fi and radar fusion for head movement sensing through walls leveraging deep learning ' , IEEE Sensors Journal , vol. 24 , no. 9 , 10345499 , pp. 14952-14961 . https://doi.org/10.1109/JSEN.2023.3337515Test
مصطلحات موضوعية: Magnetic heads, Sensors, Radar, Wireless fidelity, Deep learning, Radio frequency, Monitoring, micro-Doppler signatures, behavior monitoring, channel state information, features fusion, machine learning, RF sensing, radio frequency (RF) sensing, machine learning (ML), deep learning (DL), /dk/atira/pure/subjectarea/asjc/3100/3105, name=Instrumentation, /dk/atira/pure/subjectarea/asjc/2200/2208, name=Electrical and Electronic Engineering
وصف الملف: application/pdf
الإتاحة: https://doi.org/10.1109/JSEN.2023.3337515Test
https://researchonline.gcu.ac.uk/en/publications/c9dba7b3-e4d1-41ee-866f-ec0b1e43f2a1Test
https://researchonline.gcu.ac.uk/ws/files/82507984/82480190.pdfTest -
3دورية أكاديمية
المؤلفون: Weidong Yang, Erbo Shen, Xuyu Wang, Shiwen Mao, Yuehong Gong, Pengming Hu
المصدر: Digital Communications and Networks, Vol 9, Iss 3, Pp 698-709 (2023)
مصطلحات موضوعية: Channel state information (CSI), WiFi, Multi-scale entropy, Multi-class support vector machine (SVM), Radio frequency (RF) sensing, Information technology, T58.5-58.64
وصف الملف: electronic resource
العلاقة: http://www.sciencedirect.com/science/article/pii/S2352864822000359Test; https://doaj.org/toc/2352-8648Test
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4دورية أكاديميةRecognizing British Sign Language using deep learning: a contactless and privacy-preserving approach
المؤلفون: Hameed, Hira, Usman, Muhammad, Tahir, Ahsen, Ahmad, Kashif, Hussain, Amir, Imran, Muhammad Ali, Abbasi, Qammer H.
المصدر: Hameed , H , Usman , M , Tahir , A , Ahmad , K , Hussain , A , Imran , M A & Abbasi , Q H 2022 , ' Recognizing British Sign Language using deep learning: a contactless and privacy-preserving approach ' , IEEE Transactions on Computational Social Systems , vol. 10 , no. 4 , pp. 2090-2098 . https://doi.org/10.1109/TCSS.2022.3210288Test
مصطلحات موضوعية: British sign language (BSL), contactless monitoring, deep learning (DL), micro-Doppler signatures, radio frequency (RF) sensing, Radio frequency, Gesture recognition, Radar, Assistive technologies, Data collection, Radar antennas, Sensors, /dk/atira/pure/subjectarea/asjc/1700/1709, name=Human-Computer Interaction, /dk/atira/pure/subjectarea/asjc/3300/3301, name=Social Sciences (miscellaneous), /dk/atira/pure/subjectarea/asjc/2600/2611, name=Modelling and Simulation
وصف الملف: application/pdf
الإتاحة: https://doi.org/10.1109/TCSS.2022.3210288Test
https://researchonline.gcu.ac.uk/en/publications/689649eb-e635-4707-85e6-1c7d4ada1f09Test
https://researchonline.gcu.ac.uk/ws/files/62851664/BSL_Journal_Accepted_Version.pdfTest