Mobile Network Softwarization: Technological Foundations and Impact on Improving Network Energy Efficiency. [PDF]
Lorincz J, Kukuruzović A, Begušić D.
europepmc +1 more source
Super-Resolution pedestrian re-identification method based on bidirectional generative adversarial network. [PDF]
Wang Y, Wu Y.
europepmc +1 more source
On the use of network coding and multicast for enhancing performance in wired networks
Yuhui Wang
openalex +1 more source
Energy-driven K-means-based LEACH routing protocol for enhanced lifetime in wireless sensor networks. [PDF]
Saroit IA, Tarek D.
europepmc +1 more source
Related searches:
Network performance evaluation
2018In order to validate the effectiveness of a network design, its performance needs to be evaluated. In general, there are three approaches to evaluate the network performance, including benchmarking, simulation, and analytical modeling. In this chapter, the author will sequentially discuss these three approaches along with their merits and demerits as ...
Quoc-Tuan Vien
openaire +2 more sources
SRCON: A Data-Driven Network Performance Simulator for Real-World Wireless Networks
IEEE Communications Magazine, 2023Optimizing the performance of a real-world wireless network is extremely challenging because of the difficulty to predict the network performance as a function of network parameters, and the prohibitively large problem size.
Z. Luo +8 more
semanticscholar +1 more source
Measuring the network performance of Google cloud platform
ACM/SIGCOMM Internet Measurement Conference, 2021Public cloud platforms are vital in supporting online applications for remote learning and telecommuting during the COVID-19 pandemic. The network performance between cloud regions and access networks directly impacts application performance and users ...
Ricky K. P. Mok +5 more
semanticscholar +1 more source
The Impact of Selfish Mining on Bitcoin Network Performance
IEEE Transactions on Network Science and Engineering, 2021Selfish mining strategy allows miners to gain unfair advantage and excess revenue in Bitcoin network, but it also disrupts the normal operation of the network.
S. G. Motlagh, J. Misic, V. Mišić
semanticscholar +1 more source
LSTM and GRU Neural Network Performance Comparison Study: Taking Yelp Review Dataset as an Example
2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI), 2020Long short-term memory networks(LSTM) and gate recurrent unit networks(GRU) are two popular variants of recurrent neural networks(RNN) with long-term memory. This study compares the performance differences of these two deep learning models, involving two
Shudong Yang, Xueying Yu, Ying Zhou
semanticscholar +1 more source

