This work introduces a novel technique for cost-efficient antenna optimization. Our approach employs computational intelligence tools, including machine learning (ML) and bio-inspired algorithms. The ...

We use genetic algorithms for the optimization of training set composition consisting of tens of thousands of small organic molecules. The resulting machine learning models are considerably more ...

atom programming-language rust interpreter garbage-collection tail-call-optimization compiler-design ... program that simulates compiler backend phases by converting infix expressions into postfix ...

The experimental determination of impact polypropylene (ICP) physical properties, such as tensile modulus, flexural modulus, and impact strength, is a time-sensitive process that can delay real-time ...

This paper presents the design optimization and performance analyses of a wound-field type brushless synchronous machine (WF-BSM) for traction drives in hybrid electric vehicles (HEVs). Research on a ...

This repository is supplementary to our paper, CompilerDream: Learning a Compiler World Model for General Code Optimization [Arxiv]. We provide the code of our experiments, along with the training ...

The SMART-FIT Lab will train students in smart manufacturing skills and machine optimization. Skip to Main Content Universal Utility Links. Main Menu. Top Destinations. myMiami Workday News and ... he ...