I've reviewed every PDF editor out there - then I had ChatGPT build me a better one

The smartest way to use AI may not be letting it interact with your files, but asking it to write software that handles them ...
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) ...
GitHub

mlrose: Machine Learning, Randomized Optimization and SEarch

mlrose is a Python package for applying some of the most common randomized optimization and search algorithms to a range of different optimization problems, over both discrete- and continuous-valued ...
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 ...
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 ...
Scientific Research Publishing

Multi-Strategy-Driven Salp Swarm Algorithm for Global Optimization ()

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.
GitHub

PyGAD: Genetic Algorithm in Python

PyGAD is an open-source, easy-to-use Python 3 library for building the genetic algorithm and optimizing machine learning algorithms. It supports Keras and PyTorch, and it can optimize both ...