Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Ling-Feng Shi"'
Publikováno v:
Sensors, Vol 23, Iss 2, p 849 (2023)
Some recent studies use a convolutional neural network (CNN) or long short-term memory (LSTM) to extract gait features, but the methods based on the CNN and LSTM have a high loss rate of time-series and spatial information, respectively. Since gait h
Externí odkaz:
https://doaj.org/article/11e5cb0e41eb460aa31552b3b2ef693d
Autor:
Ling-Feng Shi, 施玲鳳
106
Modern video surveillance benefits greatly from advanced wireless imaging sensors and cloud data storage; thus, considerable video footage can be generated every second. Surveillance videos have thus become one of the largest sources of unst
Modern video surveillance benefits greatly from advanced wireless imaging sensors and cloud data storage; thus, considerable video footage can be generated every second. Surveillance videos have thus become one of the largest sources of unst
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/sa4454
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abc84e7fcbc672aeaffa0e720a9b8c43
https://doi.org/10.1109/tim.2023.3235426
https://doi.org/10.1109/tim.2023.3235426
Autor:
Ling-Feng Shi, Yu-Yu Liu
Publikováno v:
IEEE Transactions on Magnetics. 58:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f58a8f0152cec743e170afa4f38203be
https://doi.org/10.1109/tmag.2022.3160877
https://doi.org/10.1109/tmag.2022.3160877
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:2371-2375
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3518405bc9657d8cccfddb9c96e8698a
https://doi.org/10.1109/tcsii.2022.3146418
https://doi.org/10.1109/tcsii.2022.3146418
Autor:
Dong-Jin Xin, Ling-Feng Shi
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:1852-1856
This brief considers Kalman filter for linear systems with unknown structural parameters. We design a Bayesian parameter identification algorithm based on maximum likelihood (ML) criterion and expectation maximization (EM). Under the identification o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::def4cadd945d29b8d79d186789ab8af2
https://doi.org/10.1109/tcsii.2021.3103609
https://doi.org/10.1109/tcsii.2021.3103609
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-9
Particle filter is commonly used in various indoor positioning schemes, but sample impoverishment and weight degradation generally exist in particle filter. To solve this problem, this paper uses firefly algorithm to optimize particle filter. By usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9743ea73a04f5be4c5f9d502d8f5ce08
https://doi.org/10.1109/tim.2021.3128706
https://doi.org/10.1109/tim.2021.3128706
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d814c42b060681aac2f698d30a0a83d8
https://doi.org/10.1109/tim.2022.3214282
https://doi.org/10.1109/tim.2022.3214282
Publikováno v:
2022 IEEE International Conference on Networking, Sensing and Control (ICNSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39efbbbca35f79e8d0e831c9831e4035
https://doi.org/10.1109/icnsc55942.2022.10004055
https://doi.org/10.1109/icnsc55942.2022.10004055
Publikováno v:
2022 Sensor Data Fusion: Trends, Solutions, Applications (SDF).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63971447f3acdfb360af47a47d1ffcb4
https://doi.org/10.1109/sdf55338.2022.9931955
https://doi.org/10.1109/sdf55338.2022.9931955