What question did this study set out to answer?

To develop an improved method for detecting moving objects using fractional Fourier transform and hybrid optimization techniques.

February 21, 2026International Journal of Intelligent Information and Database Systems0 citationsOpen Access

Improved simplified fractional Fourier transform with hybrid black widow-elephant herding optimisation for detecting moving objects on ground

TNTalla Neelima TBTirumala Krishna BattulaJawaharlal Nehru Technological University, Kakinada

Key Points

To develop an improved method for detecting moving objects using fractional Fourier transform and hybrid optimization techniques.
Implemented a simplified fractional Fourier transform for analysis.
Combined black widow optimization with elephant herding optimization for enhanced performance.
Tested the method on various moving object scenarios.
Achieved higher detection accuracy compared to traditional methods.
Significantly reduced processing time for detecting moving objects.
Demonstrated effectiveness across different environments and conditions.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Ask AI

Helpful

Bookmark

View Full Paper