B-spline Surface Fitting using Genetic Algorithm [PDF]
, 2009 Tat-Hien Le +3 more
openalex +1 more source
3D‐IC partitioning method based on genetic algorithm [PDF]
, 2020 Naorem Yaipharenba Meitei +2 more
openalex +1 more source
Genetic Algorithms: Genesis of Stock Evaluation [PDF]
The uncertainty of predicting stock prices emanates pre-eminent concerns around the functionality of the stock market. The possibility of utilising Genetic Algorithms to forecast the momentum of stock price has been previously explored by many ...
Rama Prasad Kanungo
core
Copy Number Variants and Their Association With Intracerebral Hemorrhage Risk: A Case–Control Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Intracerebral Hemorrhage (ICH) is a leading cause of morbidity and mortality worldwide and lacks effective therapeutic interventions. Despite previous studies, the genetic underpinnings of ICH remain poorly understood. We sought to investigate the role of copy number variants (CNVs) in ICH pathophysiology to identify novel ...
Savvina Prapiadou +12 more
wiley +1 more source
The Influence of Noise on Multi-parent Crossover for an Island Model Genetic Algorithm [PDF]
, 2023 Brahim Aboutaib, Andrew M. Sutton
openalex +1 more source
Insights Into the Antigenic Repertoire of Unclassified Synaptic Antibodies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We sought to characterize the sixth most common finding in our neuroimmunological laboratory practice (tissue assay‐observed unclassified neural antibodies [UNAs]), combining protein microarray and phage immunoprecipitation sequencing (PhIP‐Seq). Methods Patient specimens (258; 133 serums; 125 CSF) meeting UNA criteria were profiled;
Michael Gilligan +22 more
wiley +1 more source
Chemical-Diffusive Models for Flame Acceleration and Transition to Detonation: Genetic Algorithm and Optimization Procedure [PDF]
, 2017 Carolyn Kaplan +2 more
openalex +1 more source
A Framework for Genetic Algorithms Based on Hadoop
, 2013 Genetic Algorithms (GAs) are powerful metaheuristic techniques mostly used in many real-world applications. The sequential execution of GAs requires considerable computational power both in time and resources. Nevertheless, GAs are naturally parallel and
Ferrucci, F +4 more
core
Network Localization of Fatigue in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo +12 more
wiley +1 more source
Genetic algorithms for the numerical solution of variational problems without analytic trial functions [PDF]
, 2005 Carlos D. Toledo
openalex +1 more source