Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Chun Ting Chou"'
Publikováno v:
IEEE Access, Vol 8, Pp 84753-84768 (2020)
In the future 5G networks, network deployment flexibility and low network latency are two of the most critical requirements and issues. Recently, network virtualization and Fog/Edge computing have been proposed as two potential solutions to enable th
Externí odkaz:
https://doaj.org/article/32d24f41f23046bb9b3c8c23567f0448
Publikováno v:
The Journal of Organic Chemistry. 88:5813-5826
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29413dd6b1888a5d1621bd7994f71af2
https://doi.org/10.1021/acs.joc.3c00236
https://doi.org/10.1021/acs.joc.3c00236
Publikováno v:
The Journal of Organic Chemistry. 88:613-625
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a614c84599371668b8d5a49d9e8f9bc
https://doi.org/10.1021/acs.joc.2c02672
https://doi.org/10.1021/acs.joc.2c02672
Autor:
Li-ping Chang, Chun-Ting Chou
Publikováno v:
Intelligent CALL, granular systems and learner data: short papers from EUROCALL 2022 ISBN: 9782383720157
In this study, we held a 12-hour workshop focused on training the Data-Driven Learning (DDL) approach for in-service Chinese teachers aiming to implement this pedagogy in Mandarin Chinese classrooms in the future. We analyzed data from a postworkshop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21e6f66ba70f4dd74a17439b867b0933
https://doi.org/10.14705/rpnet.2022.61.1433
https://doi.org/10.14705/rpnet.2022.61.1433
Publikováno v:
IEEE Internet of Things Journal. 7:9266-9277
Thanks to the advances in wireless communication and machine learning technologies, we can envision a novel AIoT (AI + IoT) service platform that collects video data from the individuals’ edge devices. Then, it transforms the video data into useful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bee782c610ec4bb4040e9f4799dff45
https://doi.org/10.1109/jiot.2020.2995162
https://doi.org/10.1109/jiot.2020.2995162
Autor:
Yao Chiang, Yi Zhang, Hao Luo, Tse-Yu Chen, Guan-Hao Chen, Huan-Ting Chen, Yan-Jhu Wang, Hung-Yu Wei, Chun-Ting Chou
Publikováno v:
IEEE Internet of Things Journal. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a24ee5994b1b1a603ab62670132bf637
https://doi.org/10.1109/jiot.2023.3245611
https://doi.org/10.1109/jiot.2023.3245611
Publikováno v:
IEEE Transactions on Network and Service Management. 16:1419-1434
Emerging Internet of Things (IoT) applications share the same characteristics of involving multiple processing components ( i.e. , function modules) and requiring a massive amount of data to be processed with low latency. To meet these needs, edge/fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4dd2085060f371e9441aed67d710a87
https://doi.org/10.1109/tnsm.2019.2948764
https://doi.org/10.1109/tnsm.2019.2948764
Autor:
Li-ping Chang, Chun-Ting Chou
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030811969
CLSW
CLSW
The present study adopts a corpus-based method to investigate the effectiveness and reliability of the confusable word sets listed in the L2 Chinese textbooks. Through the quantitative analysis based on the interlanguage corpus, we have found that, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a93fbdd6b4d5ffd9caf2986d8ced3538
https://doi.org/10.1007/978-3-030-81197-6_66
https://doi.org/10.1007/978-3-030-81197-6_66
Publikováno v:
GLOBECOM (Workshops)
Mobile Edge Computing (MEC) has been proposed as a solution for relieving the network congestion problem in the backhaul by distributing computing resources near to end devices, providing a chance to satisfy low latency requirement applications. Unma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ffbfd7fc681b686a1d51251a3b026fa
https://doi.org/10.1109/gcwkshps50303.2020.9367543
https://doi.org/10.1109/gcwkshps50303.2020.9367543
Publikováno v:
GLOBECOM (Workshops)
Virtual Network Embedding (VNE) is a strategy of selecting and allocating resources from the underlying substrate network to demands of Virtual Network Requests (VNRs). We formulate a Latency-Aware Virtual Network Embedding (LA-VNE) optimization prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00d6a9aa054e40c476518289e059bc23
https://doi.org/10.1109/gcwkshps50303.2020.9367485
https://doi.org/10.1109/gcwkshps50303.2020.9367485