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Chapter and Conference Paper
Wrapper-Based Feature Selection Using Sperm Swarm Optimization: A Comparative Study
Feature selection is a vital technique that enhances the quality of input datasets by reducing redundancy, noise, and inaccuracies without compromising classifier accuracy. The integration of metaheuristic sea...
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Chapter and Conference Paper
A Modified African Vultures Optimization Algorithm for Enhanced Feature Selection
Feature selection is a reliable technique for reducing redundant, noisy, or inaccurate features in raw input datasets without compromising classifier accuracy. Integrating metaheuristic search algorithms (MSAs...
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Chapter and Conference Paper
An Improved Digital Pulse Compression Technique and FPGA Implementation
Digital pulse compression technology is one of the key technologies to resolve the contradiction between radar detection capability and range resolution. In the following, the digital pulse compression princip...