Software defined wireless sensor load balancing routing for internet of things applications: Review of approaches
The proliferation of the Internet of Things (IoT) devices has led to a surge in Internet traffic
characterized by variabilities in Quality of Service (QoS) demands. Managing these devices …
characterized by variabilities in Quality of Service (QoS) demands. Managing these devices …
Time Management Disposition in Learning Motivation and Academic Performance of Lacquer Art Majors in Fujian, China
Y Jiang, SA Attan - SN Computer Science, 2024 - Springer
This paper explores the effect of time management disposition on learning motive and
achievement. The objective is to solve students' widespread issue of inadequate time …
achievement. The objective is to solve students' widespread issue of inadequate time …
面向软件定义网络的异常流量检测研究综述
付钰， 王坤， 段雪源， 刘涛涛 - 通信学报, 2024 - infocomm-journal.com
针对软件定义网络(SDN) 较传统网络更易遭受网络攻击的现实, 从技术原理和架构特点出发,
对近年来面向软件定义网络的异常流量检测研究进展进行综述, 分析了SDN …
对近年来面向软件定义网络的异常流量检测研究进展进行综述, 分析了SDN …
Piano harmony automatic adaptation system based on deep reinforcement learning
H Guo - Entertainment Computing, 2024 - Elsevier
Piano harmony is a combination of multiple notes, which plays a vital role in enriching the
expression of melody. However, research on the piano harmony automatic allocation system …
expression of melody. However, research on the piano harmony automatic allocation system …
An effective deep-Q learning scheme for QoS improvement in physical layer of software-defined networks
MJF Alenazi, J Ali - Physical Communication, 2024 - Elsevier
The demands of diverse applications necessitate specific communication requirements,
such as jitter, packet loss ratio (PLR), and latency, at the end-to-end (E2E) level within the …
such as jitter, packet loss ratio (PLR), and latency, at the end-to-end (E2E) level within the …
Cyber Digital Twin with Deep Learning Model for Enterprise Products Management
Z Wang - Wireless Personal Communications, 2024 - Springer
Time series abnormalities might be signs of upcoming problems; thus, new computational
anomaly detection techniques are needed for early warning systems and real-time system …
anomaly detection techniques are needed for early warning systems and real-time system …
An Effective Selection of Memory Technologies for TCAM to Improve the Search Operations: Demonstration of Memory Efficiency in SDN Recovery
A Alahmadi, TS Chung - Electronics, 2024 - mdpi.com
Ternary Content-Addressable Memory (TCAM) is used for storing the flow tables in software-
defined networking (SDN)-based OpenFlow switches. However, the TCAM can store only a …
defined networking (SDN)-based OpenFlow switches. However, the TCAM can store only a …
[HTML][HTML] Design and Application of Deep Reinforcement Learning Algorithms Based on Unbiased Exploration Strategies for Value Functions
P Lv - Measurement: Sensors, 2024 - Elsevier
Deep Q-networks, as a representation of several classical techniques, have emerged as one
of the primary branches in the field of value function-based reinforcement learning. The …
of the primary branches in the field of value function-based reinforcement learning. The …
Design of a multidimensional data collection system based on DRS4 scheme
X Ruan, D Li, Y Hou - Physical Communication, 2024 - Elsevier
A high-speed data acquisition system based on DRS4 waveform digitization is designed to
meet the requirements of high sampling rate, multi-parameter measurements, and long …
meet the requirements of high sampling rate, multi-parameter measurements, and long …
Distributed identity management mechanism based on improved block-chain certificateless encryption algorithm
X Feng, L Wang, X Bai, P Yang - Physical Communication, 2024 - Elsevier
For solving the problem of the lack of full control over the identity data of network users, we
propose an identity management method based on the certificateless encryption algorithm …
propose an identity management method based on the certificateless encryption algorithm …