Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Kin Fun Li"'
Publikováno v:
IEEE Access, Vol 11, Pp 23462-23473 (2023)
Encounters between humans and wildlife often lead to injuries, especially in remote wilderness regions, and highways. Therefore, animal detection is a vital safety and wildlife conservation component that can mitigate the negative impacts of these en
Externí odkaz:
https://doaj.org/article/5760b98d78f240af8a7c14ab0573fa19
Publikováno v:
AI, Vol 2, Iss 4, Pp 552-577 (2021)
Object detection is one of the vital and challenging tasks of computer vision. It supports a wide range of applications in real life, such as surveillance, shipping, and medical diagnostics. Object detection techniques aim to detect objects of certai
Externí odkaz:
https://doaj.org/article/fb925e30808247efa42c5e0ba0a648cc
Publikováno v:
IEEE Access, Vol 8, Pp 79920-79934 (2020)
One of the commonly-used feature extraction algorithms in computer vision is the histogram of oriented gradients. Extracting the features from an image using this algorithm requires a large amount of computations. One way to boost the speed is to imp
Externí odkaz:
https://doaj.org/article/2cfe65cb8c3c47ee9560d3871bb2c648
Publikováno v:
IEEE Access, Vol 8, Pp 165201-165215 (2020)
This article addresses the problem of detecting misleading information related to COVID-19. We propose a misleading-information detection model that relies on the World Health Organization, UNICEF, and the United Nations as sources of information, as
Externí odkaz:
https://doaj.org/article/bfa639d685ad4d0a9361a6f04b7979c3
Publikováno v:
Sensors, Vol 20, Iss 19, p 5655 (2020)
The histogram of oriented gradients is a commonly used feature extraction algorithm in many applications. Hardware acceleration can boost the speed of this algorithm due to its large number of computations. We propose a hardware–software co-design
Externí odkaz:
https://doaj.org/article/5319c8b3985a43708feb10c5712436f7
Publikováno v:
Information, Vol 10, Iss 6, p 184 (2019)
This paper proposes a hardware realization of the crossover module in the genetic algorithm for the travelling salesman problem (TSP). In order to enhance performance, we employ a combination of pipelining and parallelization with a genetic algorithm
Externí odkaz:
https://doaj.org/article/62e6ffadebc04ad7a9ddb33f27d78b5e
Autor:
Ibraheam, Mai1, Kin Fun Li1 kinli@uvic.ca, Gebali, Fayez1 fayez@uvic.ca, Sielecki, Leonard E.2 Leonard.Sielecki@gov.bc.ca
Publikováno v:
AI. Dec2021, Vol. 2 Issue 4, p552-577. 26p.
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 30:826-839
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5754c6e8d70f49a800755dab9baafa7f
https://doi.org/10.1109/tvlsi.2022.3151896
https://doi.org/10.1109/tvlsi.2022.3151896
Autor:
Narges Attarmoghaddam, Kin Fun Li
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:2306-2310
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1b93bfb036f1f4bf8132e27d4b7e38b
https://doi.org/10.1109/tcsii.2022.3148228
https://doi.org/10.1109/tcsii.2022.3148228
Publikováno v:
Advanced Information Networking and Applications ISBN: 9783031286933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f5e35c97478e57e6a5175407329ed71
https://doi.org/10.1007/978-3-031-28694-0_62
https://doi.org/10.1007/978-3-031-28694-0_62
