Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ian Zhou"'
Publikováno v:
IEEE Access, Vol 12, Pp 53881-53899 (2024)
Machine learning is a powerful technology for extracting information from data of diverse nature and origin. As its deployment increasingly depends on data from multiple entities, ensuring privacy for these contributors becomes paramount for the inte
Externí odkaz:
https://doaj.org/article/2bd5400750a24acfb506fe8967e393a4
Publikováno v:
Array, Vol 14, Iss , Pp 100158- (2022)
Frost events incur substantial economic losses to farmers. These events could induce damage to plants and crops by damaging the cells. In this article, a recurrent neural network-based method, automating the frost prediction process, is proposed. The
Externí odkaz:
https://doaj.org/article/a985c5cdb834488eb5f93e4f82f4ab72
Publikováno v:
Array, Vol 14, Iss , Pp 100136- (2022)
Future 6G wireless communication systems are expected to feature intelligence and automation. Knowledge-defined networking (KDN) is an evolutionary step toward autonomous and self-driving networks. The building blocks of the KDN paradigm in achieving
Externí odkaz:
https://doaj.org/article/782352073a024658a3e5227a445961af
Autor:
Ian Zhou, Imran Makhdoom, Negin Shariati, Muhammad Ahmad Raza, Rasool Keshavarz, Justin Lipman, Mehran Abolhasan, Abbas Jamalipour
Publikováno v:
IEEE Access, Vol 9, Pp 70961-71012 (2021)
Applications and technologies of the Internet of Things are in high demand with the increase of network devices. With the development of technologies such as 5G, machine learning, edge computing, and Industry 4.0, the Internet of Things has evolved.
Externí odkaz:
https://doaj.org/article/1ef91d693b3d446384087322954c3283
Autor:
Justin Lipman, Mehran Abolhasan, Imran Makhdoom, Muhammad Raza, Negin Shariati, Abbas Jamalipour, Ian Zhou, Rasool Keshavarz
Publikováno v:
IEEE Access, Vol 9, Pp 70961-71012 (2021)
Applications and technologies of the Internet of Things are in high demand with the increase of network devices. With the development of technologies such as 5G, machine learning, edge computing, and Industry 4.0, the Internet of Things has evolved.
Publikováno v:
IEEE Internet of Things Journal. 7:6514-6527
Frost damage in broadacre cropping and horticulture (including viticulture) results in substantial economic losses to producers and may also disrupt associated product value chains. Frost risk windows are changing in timing, frequency, and duration.
The weather phenomenon of frost poses great threats to agriculture. As recent frost prediction methods are based on on-site historical data and sensors, extra development and deployment time are required for data collection in any new site. The aim o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ba36fc70feddf042acd94cd00b85e5a
Publikováno v:
LCN
The existing lottery-based consensus algorithms, such as Proof-of-Work, and Proof-of-Stake, are mostly used for blockchain-based financial technology applications. Similarly, the Byzantine Fault Tolerance algorithms do provide consensus finality, yet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fde29b85b293057ec3ba9e5da4d77173
https://hdl.handle.net/10453/158137
https://hdl.handle.net/10453/158137
Publikováno v:
IEEE ICBC
Exhibition of malicious behavior during blockchain consensus, threats against reputation systems, and high TX latency are significant issues for blockchain-based IoT systems. Hence, to mitigate such challenges we propose "Pledge", a unique Proof-of-H
Publikováno v:
ICSPCS
As a tool for human technological advancement, the peer-review system acts as a gateway for ensuring academic paper qualities. However, the system has proven to be slow and expensive. Also, biasedness remains an unsolved problem. Such issues could be