GitHub

LEAP: Evolutionary Algorithms in Python

LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.
IEEE

Python Integration with HFSS to Design Vivaldi Antipodal Antennas Via Genetic Algorithm

Abstract: This paper presents the design of a rectangular slotted antipodal Vivaldi antenna (AVA) incorporating ridged substrate integrated waveguide (RSIW) structures for ultra-wideband (UWB) ...
IEEE

Machine Learning in Biomedical Informatics: Optimizing Resource Allocation and Energy Efficiency in Public Hospitals

Abstract: This paper presents a computational framework that combines supervised machine learning and multi-objective optimization to support data-driven decision-making for resource allocation in ...
Hacker

Escape Prompt Hell With These 8 Must-have Open-source Tools

Tinkering at the edge of logistics and AI at Forward Labs. Previously scaled a few Y Combinator startups from zero to unicorn at Xendit (YC S15) and Spenmo (YC S20) Remember when prompt engineering ...
Frontiers

Random forest grid fault prediction based on genetic algorithm optimization

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...
Frontiers

Deep learning algorithm using bispectrum analysis energy feature maps based on ultrasound radiofrequency signals to detect breast cancer

Ultrasonography is an important imaging method for clinical breast cancer screening. As the original echo signals of ultrasonography, ultrasound radiofrequency (RF) signals provide abundant tissue ...