Results 51 to 60 of about 1,311,332 (340)
Protection Strategy Selection Model Based on Genetic Ant Colony Optimization Algorithm
Mathematics, 2022 Industrial control systems (ICS) are facing an increasing number of sophisticated and damaging multi-step attacks. The complexity of multi-step attacks makes it difficult for security protection personnel to effectively determine the target attack path ...
Xinzhan Li +4 more
doaj +1 more source
Parkinson’s Disease Detection Using Filter Feature Selection and a Genetic Algorithm with Ensemble Learning [PDF]
, 2023 Abdullah Ali +2 more
openalex +1 more source
Molecular Oncology, EarlyView.B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez +17 more
wiley +1 more source
Research On Energy-saving Operation Of High-speed Trains Based On Improved Genetic Algorithm
Journal of Applied Science and Engineering, 2022 The traditional genetic algorithm has been widely used in energy-saving optimization of train operation, but due to the uncertainty of the evolution direction of it’s population chromosomes, it has caused some problems such as a large amount of local ...
Hongxia Niu, Tao Hou, Yu Chen
doaj +1 more source
A Genetic Algorithm Based Finger Selection Scheme for UWB MMSE Rake Receivers
, 2005 Due to a large number of multipath components in a typical ultra wideband (UWB) system, selective Rake (SRake) receivers, which combine energy from a subset of multipath components, are commonly employed.
Chiang, Mung +3 more
core +2 more sources
A Hybrid Genetic Algorithm With Wrapper-Embedded Approaches for Feature Selection
IEEE Access, 2018 Feature selection is an important research area for big data analysis. In recent years, various feature selection approaches have been developed, which can be divided into four categories: filter, wrapper, embedded, and combined methods.
Xiao-Ying Liu +4 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Comprehensive analysis of genomic mutations, gene expression, DNA methylation, and pathway analysis of TCGA data was carried out to define cancer types in which proteasome subunits expression is associated with worse survival. Albeit the effect of specific proteasome subunits on cellular function, the main role of the proteasome is better evaluated ...
Ruba Al‐Abdulla +5 more
wiley +1 more source
Modified Floating Search Feature Selection Based on Genetic Algorithm
MATEC Web of Conferences, 2018 Classification performance is adversely impacted by noisy data .Selecting features relevant to the problem is thus a critical step in classification and difficult to achieve accurate solution, especially when applied to a large data set. In this article,
Homsapaya Kanyanut, Sornil Ohm
doaj +1 more source
Self-Tune Linear Adaptive-Genetic Algorithm for Feature Selection
IEEE Access, 2019 Genetic algorithm (GA) is an established machine learning technique used for heuristic optimisation purposes. However, this natural selection-based technique is prone to premature convergence, especially of the local optimum event.
Ching Sheng Ooi +2 more
doaj +1 more source
Molecular Oncology, EarlyView.This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu +12 more
wiley +1 more source