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Chapter and Conference Paper
An Efficient Feature Selection Method for High Dimensional Data Based on Improved BOA in AIoT
Feature selection can eliminate irrelevant redundant information in high-dimensional data, reduce dimensions, improve classification performance, and relieve the computational burden of machine learning. In th...
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Chapter and Conference Paper
Research on the Effect of BBR Delay Detection Interval in TCP Transmission Competition on Heterogeneous Wireless Networks
The bottleneck bandwidth and round-trip propagation time (BBR) algorithm effectively improves the network bandwidth utilization by its unique minimum delay and maximum bandwidth detection mechanism. However, w...
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Chapter and Conference Paper
OP-RAW: A RAW Grou** Algorithm Based on Outage Probability for Industrial Internet of Things
IEEE 802.11ah is a wireless network protocol designed for large-scale Industrial Internet of Things (IIoT) scenarios. The restricted access window (RAW) mechanism introduced by IEEE 802.11ah assigns the nodes ...
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Chapter and Conference Paper
An Outage Probability Based Channel Bonding Algorithm for 6G Network
Multiple input multiple output (MIMO) can greatly improve the throughput and frequency utilization of wireless transmission systems. In the IEEE 802.11ax protocol, 4G, 5G, and even future 6G communications, MI...
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Chapter and Conference Paper
A GIS-Based Optimization of ACO in UAV Network
UAVs can carry out rescue work in the disaster area. The ant colony algorithm is used to search and rescue work in the disaster area based on GIS. Considering regional priority, an algorithm named priority-PAA...
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Chapter and Conference Paper
MACCA: A SDN Based Collaborative Classification Algorithm for QoS Guaranteed Transmission on IoT
Software defined network (SDN) can effectively balance link loads and guarantee QoS for different application categories of data streams on Internet of Things (IoT). To achieve high accuracy and low time consu...
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Chapter and Conference Paper
Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval
Relevance feedback has been shown as a powerful tool to improve the retrieval performance of content-based image retrieval (CBIR). However, the feedback iteration process is tedious and time-consuming. History...
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Chapter and Conference Paper
Texture Image Retrieval Based on Contourlet Coefficient Modeling with Generalized Gaussian Distribution
This paper presents a texture image retrieval scheme based on contourlet transform. In this scheme, the generalized Gaussian distribution (GGD) parameters are used to represent the detail subband features obta...