Zobrazeno 1 - 10
of 1 840
pro vyhledávání: '"HAN-CHIEH CHAO"'
Autor:
Yeh, Kuo-Hui1,2 (AUTHOR), Chen, Chien-Ming3 (AUTHOR), Chien, Wei-Che1 (AUTHOR) wcc@gms.ndhu.edu.tw
Publikováno v:
Symmetry (20738994). Apr2023, Vol. 15 Issue 4, p882. 4p.
Publikováno v:
Symmetry, Vol 15, Iss 4, p 882 (2023)
Han-Chieh Chao received his MS and PhD degrees in Electrical Engineering from Purdue University, West Lafayette, Indiana, in 1989 and 1993, respectively [...]
Externí odkaz:
https://doaj.org/article/a14461a7d7af4463b49005a5b378de5c
Publikováno v:
Sensors, Vol 24, Iss 23, p 7650 (2024)
In opportunistic IoT (OppIoT) networks, non-cooperative nodes present a significant challenge to the data forwarding process, leading to increased packet loss and communication delays. This paper proposes a novel Context-Aware Trust and Reputation Ro
Externí odkaz:
https://doaj.org/article/65687747bb6b4c7799fba8b060db3824
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17007-17020 (2024)
In recent years, geospatial big data (GBD) has obtained attention across various disciplines, categorized into big Earth observation data and big human behavior data. Identifying geospatial patterns from GBD has been a vital research focus in the fie
Externí odkaz:
https://doaj.org/article/0e1ad0cf0569420ca1ffe03cd89f06d4
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Externí odkaz:
https://doaj.org/article/a3411750a81b4132829b50a3abf3d889
Publikováno v:
Future Internet, Vol 16, Iss 3, p 95 (2024)
Federated learning trains a neural network model using the client’s data to maintain the benefits of centralized model training while maintaining their privacy. However, if the client data are not independently and identically distributed (non-IID)
Externí odkaz:
https://doaj.org/article/b504ee6af51a48c6949f91bd061aae03
Publikováno v:
Sensors, Vol 24, Iss 3, p 963 (2024)
Accurately and efficiently predicting elephant flows (elephants) is crucial for optimizing network performance and resource utilization. Current prediction approaches for software-defined networks (SDNs) typically rely on complete traffic and statist
Externí odkaz:
https://doaj.org/article/6ecb85cafce843779c6ac0e32bd75a15
Publikováno v:
Eurasia Journal of Mathematics, Science & Technology Education; Aug2024, Vol. 20 Issue 8, p1-19, 19p
Publikováno v:
IET Communications, Vol 16, Iss 11, Pp 1268-1278 (2022)
Abstract Recently, the 5G as the next‐generation network is a popular research and discussed widely. The architecture of 5G is a heterogeneous network, and it can support more networked types, like the ultra‐dense network, traditional cellular ne
Externí odkaz:
https://doaj.org/article/1186b9de4ba24da48c9c17ce0a1548eb
Publikováno v:
Symmetry, Vol 16, Iss 2, p 164 (2024)
In Intelligent Transport Systems (ITSs), Internet of Vehicles (IoV) communications and computation offloading technology have been introduced to assist with the burdensome sensing task processing, thus prompting a new design paradigm called mobile se
Externí odkaz:
https://doaj.org/article/f83496051e184d298ef9180f1c3f5cfb