Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Neng-Chung Wang"'
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7008 (2023)
Recently, neural network technology has shown remarkable progress in speech recognition, including word classification, emotion recognition, and identity recognition. This paper introduces three novel speaker recognition methods to improve accuracy.
Externí odkaz:
https://doaj.org/article/90c7ecf1f8ba4dbfac6ed1b735c9c716
Publikováno v:
Sensors, Vol 23, Iss 5, p 2783 (2023)
In a wireless sensor network (WSN), geocasting is a location-based routing protocol used for data collection or information delivery. In geocasting, a target region usually contains many sensor nodes with limited battery capacity, and sensor nodes in
Externí odkaz:
https://doaj.org/article/765e56213d684c2c89981d0a90149c57
Publikováno v:
Agronomy, Vol 13, Iss 3, p 792 (2023)
Following the rapid development of information and communication technology, and the huge amounts of data that have undergone explosive growth, artificial intelligence and machine learning have been used for predictive analysis in many fields. Howeve
Externí odkaz:
https://doaj.org/article/998d94e5c80240a49ece6fc0b9d20a09
Autor:
Neng-Chung Wang, Wei-Jung Hsu
Publikováno v:
IEEE Access, Vol 8, Pp 74129-74136 (2020)
Green communication for different kinds of wireless networks has begun to receive significant research attention recently. Green communication focuses mainly on the issue of improving energy efficiency substantially. A wireless sensor network (WSN) c
Externí odkaz:
https://doaj.org/article/3a52c8790be64bc58889f7e8224f5be0
Publikováno v:
Sensors, Vol 22, Iss 23, p 9303 (2022)
A wireless sensor network (WSN) consists of a very large number of sensors which are deployed in the specific area of interest. A sensor is an electronic device equipped with a small processor and has a small-capacity memory. The WSN has the function
Externí odkaz:
https://doaj.org/article/4745b54a7cf841ac963aee6b1a4ec2bd
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9877 (2022)
A wireless sensor network (WSN) is made up of multiple sensors deployed in a specific sensing area to identify the occurrence of events and quickly transmit useful information back to the base station (BS). In WSNs, schemes to reduce energy consumpti
Externí odkaz:
https://doaj.org/article/ec88c047601c4bef9790765d58a23bd0
Publikováno v:
Electronics; Volume 12; Issue 13; Pages: 2863
The rapid development of mobile devices and wireless network technologies have made them indispensable. This has created a demand for faster networks and longer battery life. The assurance of a stable network service and the enhancement of network ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::5764ab25c691f3a648513e310eb685c4
Publikováno v:
Applied Sciences; Volume 13; Issue 12; Pages: 7008
Recently, neural network technology has shown remarkable progress in speech recognition, including word classification, emotion recognition, and identity recognition. This paper introduces three novel speaker recognition methods to improve accuracy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::feb77c81132f5a4dc92cda52542cf465
Publikováno v:
Sensors, Vol 14, Iss 5, Pp 8447-8464 (2014)
In a wireless sensor network (WSN), a great number of sensor nodes are deployed to gather sensed data. These sensor nodes are typically powered by batteries so their energy is restricted. Sensor nodes mainly consume energy consumption in data transmi
Externí odkaz:
https://doaj.org/article/8fa7392e0d434d9ca264676b73089d6e
Publikováno v:
ICMLC
In this paper, we propose two energy efficient geocasting protocols based on Q-learning for wireless sensor networks (WSNs), called FERMA-QL and FER-MA-QL-E. We utilize the theorem of Fermat point to find Fermat points in geocasting, the node which i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43a070f1a4e817da7c24ef37e5eb3b47
https://doi.org/10.1109/icmlc48188.2019.8949272
https://doi.org/10.1109/icmlc48188.2019.8949272