Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chao-Lun Wu"'
Autor:
Chao-Lun Wu, 吳兆倫
106
The technology of drone has advanced significantly during the last few years, which enables drones to be deployed in many tasks including video surveillance, search and rescue, last-mile delivery and military operation. The great potentials
The technology of drone has advanced significantly during the last few years, which enables drones to be deployed in many tasks including video surveillance, search and rescue, last-mile delivery and military operation. The great potentials
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/g425u4
Autor:
Chao-Lun Wu, 吳兆倫
104
Paper Research Department on modern education deep was worries, not for reading knowledge General learned of problem, but on character education was ignored full crisis and disturbed, this is heart and humanity by faced of test; coincided wi
Paper Research Department on modern education deep was worries, not for reading knowledge General learned of problem, but on character education was ignored full crisis and disturbed, this is heart and humanity by faced of test; coincided wi
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/90231153311436558278
Publikováno v:
GLOBECOM 2022 - 2022 IEEE Global Communications Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb662313bccd2b057a3008c218283929
https://doi.org/10.1109/globecom48099.2022.10001157
https://doi.org/10.1109/globecom48099.2022.10001157
Publikováno v:
ICASSP
Network anomaly detection (NAD) aims to capture potential abnormal behaviors by observing traffic data over a period of time. In this work, we propose a machine learning framework based on XGBoost and deep neural networks to classify normal traffic a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cca878d3f8398b88c6a28a50388c9820
https://doi.org/10.1109/icassp39728.2021.9414532
https://doi.org/10.1109/icassp39728.2021.9414532
Publikováno v:
ICC
Mobile/multi-access edge computing (MEC) is therefore developed to support the upcoming AI-aware mobile services, which require low latency and intensive computation resources at the edge of the network. One of the most challenging issues in MEC is s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::223366250abccaa78cc11b91d24d351f
https://doi.org/10.1109/icc40277.2020.9149185
https://doi.org/10.1109/icc40277.2020.9149185