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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
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...