Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: To address engineering challenges such as multi-constraint conflicts, nonlinear coupling, and high material costs, this paper proposes a Multi-Strategy Enhanced Slime Mould Algorithm (MESMA) ...

Abstract: Unmanned aerial vehicles are evolving rapidly and being deployed in increasingly varied contexts. As their roles broaden, acoustics is gaining prominence as a complementary, passive source ...

The core challenge in application of the ANN framework is selecting appropriate hyperparameters. The gradient descent algorithm is commonly used to optimize these hyperparameters by moving them in the ...