BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Present-day Faroese genomes reveal ancestry, bottleneck history, and signatures of selection, and offer a foundation for understanding the genetic architecture of health and disease in this North ...

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 ...

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...

The data acquisition methods are becoming increasingly diverse and advanced, leading to higher data dimensions, blurred classification boundaries, and overfitting datasets, affecting machine learning ...

Despite decades of investigation, brain tumors remain among the most lethal and debilitating malignancies of all forms 1. Glioma, the most common variant of brain tumors in the adult population, has ...

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 ...

sklearn-genetic is a genetic feature selection module for scikit-learn. Genetic algorithms mimic the process of natural selection to search for optimal values of a function.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Laser-induced fluorescence spectroscopy, Raman scattering, and partial least squares ...

Point cloud registration is an important technique for 3D environment map construction. Traditional point cloud registration algorithms rely on color features or geometric features, which leave ...

Abstract: Feature selection is a useful dimension reduction method in data preprocessing for machine learning. It is an discrete optimization problem in essence. Genetic algorithm is a meta heuristic ...