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Suggested Topics within your search.
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Learning and Evolution: Factors Influencing an Effective Combination
Published 2024-11-01“…Moreover, the first three tasks represent benchmark problems in the field of evolutionary computation. (3) Results and discussion: The outcomes indicate that the effect of learning on evolution depends on the nature of the problem. …”
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Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations
Published 2024-01-01Get full text
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Identification and functional analysis of Wall-Associated Kinase genes in Nicotiana tabacum
Published 2025-02-01Get full text
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Research on the LDA-ECD based support policy for China's agricultural cold chain logistics
Published 2025-06-01“…Under the configuration of the Python 3.7 environment, a total of 21 theme words were extracted from three-time stages by (LDA), and the importance of each theme was visualized and analyzed using Enriched Difference and Chord Diagrams (ECD), to explore the evolutionary trend of the policies at different stages. …”
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Validating a Phenomenological Mathematical Model for Public Health and Safety Interventions Influencing the Evolutionary Stages of Recent Outbreak for Long-Term and Short-Term Doma...
Published 2020-01-01“…It acknowledges and provides an understanding of a short-term and long-term transmission of coronavirus outbreak in the country as three evolutionary phases. Therefore, this research provides a pathway to cope with the emerging threat of a severe outbreak in developing and nondeveloping countries.…”
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Simpson's tachytely or bradytely? The importance of quantifying rate uncertainty
Published 2025-01-01“…We propose quantifying the relative uncertainty of diversification estimates, to better compare diversification tempo across phylogenies of different sizes and ages. We present three case studies, using the most popular models for diversification rate estimation, with or without fossils, to investigate claims of bradytely or tachytely. …”
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SEEI: spherical evolution with feedback mechanism for identifying epistatic interactions
Published 2024-05-01“…The 60 simulated disease models and a real breast cancer dataset were used to evaluate eight algorithms (SEEI, EACO, EpiACO, FDHEIW, MP-HS-DHSI, NHSA-DHSC, SNPHarvester, CSE). Three evaluation criteria (pow1, pow2, pow3), a T-test, and a Friedman test were used to compare the performances of these algorithms. …”
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Machine Learning in Maritime Safety for Autonomous Shipping: A Bibliometric Review and Future Trends
Published 2025-04-01“…By visualizing collaborative networks, analyzing evolutionary trends, and identifying research hotspots, this study lays a groundwork for pioneering advancements and sets a visionary angle for the future of safety in autonomous shipping. …”
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Rosaceae phylogenomic studies provide insights into the evolution of new genes
Published 2025-01-01“…Fusion genes are divided into three types: Type-I and Type-II genes contain two parental genes that are generated by duplication, distributed in the same and different regions of the genome, respectively; and Type-III can only be detected in one parental gene. …”
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Irregularly Sampled Time Series Interpolation for Detailed Binary Evolution Simulations
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Evolution analysis of GH3 gene family in five Rosaceae species and FaGH3.17, FaGH3.18 improve drought tolerance in transgenic Arabidopsis
Published 2025-07-01“…However, the evolutionary analysis of the GH3 gene family in Rosaceae species has not been well-studied and the specifc functions of Fragaria ananassa are not well-documented. …”
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