Results 91 to 100 of about 5,786,914 (366)
Genealogical Distance as a Diversity Estimate in Evolutionary Algorithms
, 2017 The evolutionary edit distance between two individuals in a population, i.e., the amount of applications of any genetic operator it would take the evolutionary process to generate one individual starting from the other, seems like a promising estimate ...
Belzner, Lenz, Gabor, Thomas
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Central Dysmyelination in SSADH‐Deficient Humans and Mice
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Succinic semialdehyde dehydrogenase deficiency (SSADHD) is an inherited metabolic disorder characterized by an accumulation of γ‐aminobutyric (GABA). In addition to its synaptic role as an inhibitory neurotransmitter, GABA also plays an important role in myelination.
Itay Tokatly Latzer +11 more
wiley +1 more source
Evolutionary Algorithms in Health Technologies
Algorithms, 2019 Health technology research brings together complementary interdisciplinary research skills in the development of innovative health technology applications.
Sai Ho Ling, Hak Keung Lam
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How to analyse evolutionary algorithms
Theoretical Computer Science, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ingo Wegener +2 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Neurodegeneration with brain iron accumulation (NBIA) comprises rare genetic disorders characterized by predominantly extrapyramidal symptoms and iron deposition in the basal ganglia. Conventional magnetic resonance imaging (MRI) detects qualitative changes but cannot accurately quantify iron accumulation. Quantitative susceptibility
Özge Uygun +19 more
wiley +1 more source
Evidence of coevolution in multi-objective evolutionary algorithms [PDF]
, 2009 This paper demonstrates that simple yet important characteristics of coevolution can occur in evolutionary algorithms when only a few conditions are met.
Whitacre, Dr James M
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Evolutionary Algorithms for Reinforcement Learning
Journal of Artificial Intelligence Research, 1999 There are two distinct approaches to solving reinforcement learning problems, namely, searching in value function space and searching in policy space. Temporal difference methods and evolutionary algorithms are well-known examples of these approaches.
Alan C. Schultz +2 more
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Altered Dynamic Functional Network Connectivity in Post‐Stroke Aphasia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Previous studies examining post‐stroke aphasia (PSA) patients via resting‐state functional magnetic resonance imaging (rs‐fMRI) have predominantly focused on static functional connectivity. In contrast, the current investigation aims to elucidate the alterations in dynamic functional network connectivity (dFNC) among PSA patients ...
Guihua Xu +6 more
wiley +1 more source
A novel solution for energy-saving and lifetime-maximizing of LoRa wireless mesh networks
Journal of Information and TelecommunicationThis paper presents an energy-saving and lifetime-maximizing solution for the LoRa wireless mesh network (WMN). Energy dissipation is a crucial factor affecting the usability of the LoRa WMN.
Hoang Hai Son +10 more
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Hydroxychloroquine Associated with Lower Glomerular Filtration Rate Decline in Lupus Nephritis
Arthritis Care &Research, Accepted Article.Background Hydroxychloroquine (HCQ) protects kidney function in lupus nephritis (LN) by preventing flares, yet some cohort studies show no significant benefit in kidney function with HCQ. Clarifying these conflicting findings by showing early and long‐term benefits of HCQ on kidney function preservation is critical. Therefore, we analyzed data from our
Shivani Garg +9 more
wiley +1 more source