Results 51 to 60 of about 2,110,994 (191)
Investigating the Applications of Machine Learning Techniques to Predict the Rock Brittleness Index
Applied Sciences, 2020 Despite the vast usage of machine learning techniques to solve engineering problems, a very limited number of studies on the rock brittleness index (BI) have used these techniques to analyze issues in this field.
Deliang Sun +6 more
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Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
A Cellular Automata Models of Evolution of Transportation Networks [PDF]
Computer Science, 2002 We present a new approach to modelling of transportation networks. Supply of resources and their influence on the evolution of the consuming environment is a princqral problem considered.
Mariusz Paszkowski, Pawel Topa
doaj
Applied Sciences, 2020 Seepage is one of the most challenging issues in some procedures such as design, construction, and operation of embankment or earth fill dams. The purpose of this research is to develop a new solution based on governing equations to solve the seepage ...
Dongchun Tang +6 more
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Molecular Oncology, EarlyView.This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault +12 more
wiley +1 more source
Self-adaptation of mutation distribution in evolutionary algorithms [PDF]
, 2007 This paper is posted here with permission from IEEE - Copyright @ 2007 IEEEThis paper proposes a self-adaptation method to control not only the mutation strength parameter, but also the mutation distribution for evolutionary algorithms. For this purpose,
Yang, S +5 more
core +1 more source
IEEE AccessThis paper proposes a robust load frequency control (LFC) strategy for nonlinear thermal power systems (TPS). Unlike conventional LFC models, the developed system explicitly incorporates governor dead band, generation rate constraint, and boiler dynamics,
Anh-Tuan Tran +3 more
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Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Optimizing gait stability for legged robots is a difficult problem. Even on level surfaces, effectively traversing across different textures (e.g., carpet) rests on dynamically tuning parameters in multidimensional space.
Jack Vice +2 more
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Molecular Oncology, EarlyView.Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu +9 more
wiley +1 more source
Load Frequency Control Based on Gray Wolf Optimizer Algorithm for Modern Power Systems
EnergiesThe increasing complexity of modern power systems (MPSs), driven by the integration of renewable energy sources and multi-area configurations, demands robust and adaptive load frequency control (LFC) strategies.
Dao Huy Tuan +3 more
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