Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Zheqi Yu"'
Autor:
Zheqi Yu, Amir M. Abdulghani, Adnan Zahid, Hadi Heidari, Muhammad Ali Imran, Qammer H. Abbasi
Publikováno v:
IEEE Access, Vol 8, Pp 67085-67099 (2020)
Compared with von Neumann's computer architecture, neuromorphic systems offer more unique and novel solutions to the artificial intelligence discipline. Inspired by biology, this novel system has implemented the theory of human brain modeling by conn
Externí odkaz:
https://doaj.org/article/70c49380f9894cf7ac1e541c73dcd009
Autor:
Zheqi Yu, Adnan Zahid, Shuja Ansari, Hasan Abbas, Hadi Heidari, Muhammad A. Imran, Qammer H. Abbasi
Publikováno v:
Frontiers in Communications and Networks, Vol 2 (2022)
Aiming at the self-association feature of the Hopfield neural network, we can reduce the need for extensive sensor training samples during human behavior recognition. For a training algorithm to obtain a general activity feature template with only on
Externí odkaz:
https://doaj.org/article/a2f18228ffc241339e2c9840def6677d
Autor:
Qian Wang, Wenfeng Li, Zheqi Yu, Qammer Abbasi, Muhammad Imran, Shuja Ansari, Yusuf Sambo, Liwen Wu, Qiang Li, Tong Zhu
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1595 (2023)
In recent years, major natural disasters and public safety accidents have frequently occurred worldwide. In order to deal with various disasters and accidents using rapidly deployable, reliable, efficient, and stable emergency communication networks,
Externí odkaz:
https://doaj.org/article/2997437b51f140788d746fec1cdf44d6
Autor:
Zheqi Yu, Adnan Zahid, Shuja Ansari, Hasan Abbas, Amir M. Abdulghani, Hadi Heidari, Muhammad A. Imran, Qammer H. Abbasi
Publikováno v:
Sensors, Vol 20, Iss 24, p 7226 (2020)
With the popularity of smart wearable systems, sensor signal processing poses more challenges to machine learning in embedded scenarios. For example, traditional machine-learning methods for data classification, especially in real time, are computati
Externí odkaz:
https://doaj.org/article/b55abfe86a3140148f69680f9cbab556
Autor:
Zheqi Yu, Ahmad Taha, William Taylor, Adnan Zahid, Khalid Rajab, Hadi Heidari, Muhammad Ali Imran, Qammer H. Abbasi
Publikováno v:
IEEE Sensors Journal. 22:18218-18227
This article provides a new benchmark dataset for 3D point cloud classification in which the manually labelled human activity data exceeds 100 point clouds per frame and is capable of\ud meeting the training needs for data-intensive learning approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a3a55d9ff1cd54d6b0d18845afbe26e
https://doi.org/10.1109/jsen.2022.3198395
https://doi.org/10.1109/jsen.2022.3198395
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 236:6706-6719
In this paper, the FEM and MD method are used to establish macro and nano cutting model of OFHC copper, and the cutting force, cutting stress and subsurface deformation and phase change are compared and analyzed under the macro cutting depth (0.2mm,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a866a91dad317b4d09443f0bb1a38fd5
https://doi.org/10.1177/09544062211067545
https://doi.org/10.1177/09544062211067545
Autor:
Julien Le kernec, Zheqi Yu, Muhammad Ali Imran, Adnan Zahid, Ahmad Taha, Hadi Heidari, Qammer Hussain Abbasi, William Taylor
The increasing demand for considering multi-sensor data fusion technology has drawn attention for precise human activity recognition over standalone technology due to its reliability and robustness. This paper presents a framework that fuses data fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d10afc3bce71676e9b91043541395f2d
https://eprints.gla.ac.uk/278256/1/278256.pdf
https://eprints.gla.ac.uk/278256/1/278256.pdf
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Gene sequencing technology is a tool which greatly impacts modern biology and medicine. The next-generation sequencing (NGS) lies at the heart of gene sequencing for its massively increasing throughput, but it is difficult to analyze the large quanti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8f6ba9ecaedf62c7fb4804ac1da6645
https://doi.org/10.1109/embc48229.2022.9871730
https://doi.org/10.1109/embc48229.2022.9871730
Publikováno v:
IEEE Access, Vol 8, Pp 67085-67099 (2020)
Compared with von Neumann’s computer architecture, neuromorphic systems offer more unique and novel solutions to the artificial intelligence discipline. Inspired by biology, this novel system has implemented the theory of human brain modeling by co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5de1d6fe2287b39d7fe266662c08fb91
https://ieeexplore.ieee.org/document/9057570/
https://ieeexplore.ieee.org/document/9057570/
Autor:
Zheqi Yu, Adnan Zahid, William Taylor, Hasan Abbas, Hadi Heidari, Muhammad A. Imran, Qammer H. Abbasi
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030955922
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37a1a44cbbed66e7bf30726d97f72969
https://doi.org/10.1007/978-3-030-95593-9_1
https://doi.org/10.1007/978-3-030-95593-9_1