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Convolutional neural networks (CNNs) have been successfully applied in many computer vision applications [1] , especially in image classification tasks, where most of the structures have been designed manually.
Zhenyu Fang +5 more
semanticscholar +1 more source
Battery Remaining Useful Life Prediction with Inheritance Particle Filtering
Accurately forecasting a battery’s remaining useful life (RUL) plays an important role in the prognostics and health management of rechargeable batteries. An effective forecast is reported using a particle filter (PF), but it currently suffers from
Lin Li +3 more
doaj +1 more source
Reducing Building Conflicts in Map Generalization with an Improved PSO Algorithm
In map generalization, road symbolization and map scale reduction may create spatial conflicts between roads and neighboring buildings. To resolve these conflicts, cartographers often displace the buildings.
Hesheng Huang +3 more
doaj +1 more source
A Potential Endurance Algorithm Prediction in the Field of Sports Performance
Sport performance is influenced by several factors, including genetic susceptibility. In the past years, specific single nucleotide polymorphisms have been associated to sport performance; however, these effects should be considered in multivariable ...
Rocio de la Iglesia +14 more
doaj +1 more source
Contribution of uniparental disomy in a clinical trio exome cohort of 2675 patients
Background Uniparental disomy (UPD) is the inheritance of two homologous chromosomes from the same parent. UPD may result in clinical phenotypes when occurring on chromosomes with specific imprinting pattern, when leading to homozygosity of a deleterious
Lei Wang +12 more
doaj +1 more source
How to identify a patient with autoinflammatory syndrome: Clinical and diagnostic algorithms
Autoinflammatory syndromes (AISs) are a group of predominantly hereditary diseases associated with the spontaneous uncontrolled production of proinflammatory cytokines. Most diseases are known to have molecular mechanisms and an inheritance pattern.
Mikhail Mikhailovich Kostik +6 more
doaj +1 more source
Improved IBD detection using incomplete haplotype information
Background The availability of high density genetic maps and genotyping platforms has transformed human genetic studies. The use of these platforms has enabled population-based genome-wide association studies.
Pollak Martin R +3 more
doaj +1 more source
Development of Adaptive Range Genetic Algorithms Considering Inheritance of Searching Range.
For several years, adaptive range genetic algorithms have been developed and it turned out to be very efficient in treatment of both discrete variables and continuous variables. That means it is useful tools for mixed variable problem, which was thought most daunting problem in design engineering.
Masao Arakawa, Hiroshi Ishikawa
openaire +2 more sources
Background Machine learning (ML) algorithms and methods offer great tools to analyze large complex genomic datasets. Our goal was to compare the genomic architecture of schizophrenia (SCZ) and autism spectrum disorder (ASD) using ML.
Sameer Sardaar +5 more
doaj +1 more source
Evolutionary Algorithms for Query Op-timization in Distributed Database Sys-tems: A review
Evolutionary Algorithms are bio-inspired optimization problem-solving approaches that exploit principles of biological evolution. , such as natural selection and genetic inheritance.
Zulfiqar ALI +2 more
doaj +1 more source

