This method relies on an efficient optimization framework to empower traditional components, enabling them to adapt more intelligently to different problem characteristics and search states, thereby ...

Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your ...

Abstract: In this letter, we explore the feasibility of using machine learning (ML) to address time-domain electromagnetic forward and inverse problems. A novel ML-associated Hermite (AH) ...

Abstract: The time-fractional telegraph equation (TFTE) is a fundamental model with significant applications in fields like signal processing. However, its numerical solution remains challenging due ...

for(int l=min(a.size(),b.size());l;l--) if(a.substr(a.size()-l)==b.substr(0,l)) ...