Results 11 to 20 of about 722,236 (315)
Advances in high-throughput sequencing technologies have made it possible to access millions of measurements from thousands of people. Single nucleotide polymorphisms (SNPs), the most common type of mutation in the human genome, have been shown to play a
Fariba Esmaeili+2 more
doaj +2 more sources
Background Retinitis Pigmentosa (RP) is a clinically and genetically heterogeneous disorder that results in inherited blindness. Despite the large number of genes identified, only ~ 60% of cases receive a genetic diagnosis using targeted-sequencing.
María González-del Pozo+7 more
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Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms [PDF]
Diversity is an important factor in evolutionary algorithms to prevent premature convergence towards a single local optimum. In order to maintain diversity throughout the process of evolution, various means exist in literature. We analyze approaches to diversity that (a) have an explicit and quantifiable influence on fitness at the individual level and
Fortin Félix-Antoine+3 more
arxiv +3 more sources
Journal Of Environmental And Public Health
openaire +2 more sources
Guided-Mutation Genetic Algorithm for Mobile IoT Network Relay [PDF]
The Internet of Things (IoT) is a communication scheme which allows various objects to exchange several types of information, enabling functions such as home automation, production management, healthcare, etc.
Gyupil Kam, Kiseop Chung
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Fitness inheritance in genetic algorithms [PDF]
S. A. Stegmann+2 more
openaire +2 more sources
Intraoperative diagnosis of hypertrophic cardiomiopathy [PDF]
Hypertrophic cardiomyopathy (HCM) is the most com- mon genetic disease of the heart. Autosomal dominant inheritance leading to mutation in one of the numerous genes encoding for proteins in the myocardial sarcomere leads to abnormal myocyte growth with ...
I. Bekiroglu, R. Heng, J. D. Tobias
doaj +1 more source
Epigenetic opportunities for evolutionary computation
Evolutionary computation is a group of biologically inspired algorithms used to solve complex optimization problems. It can be split into evolutionary algorithms, which take inspiration from genetic inheritance, and swarm intelligence algorithms, that ...
Sizhe Yuen+2 more
doaj +1 more source
The concept of genetic programming in organizing internal transport processes [PDF]
The paper presents proposition of using genetic algorithm to support organization of internal transport processes in logistics facilities. The organization of internal transport can be done through solving optimization task of scheduling internal ...
Konrad Lewczuk
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In this paper, we study the operation mechanism of the Openpose model under artificial intelligence technology, reconstruct the spatial coordinate system of the skeleton, and do the standardization of the skeleton coordinate system.
Feng Zhang
semanticscholar +1 more source