Results 101 to 110 of about 1,361,107 (277)
Some New Results Concerning Power Graphs and Enhanced Power Graphs of Groups
Discrete Applied MathematicsTheorem 4.4 of the first version of the manuscript turned out to be incorrect, which we show in the present version by providing a counterexample. Therefore, Theorem 4.4 and Corollary 4.5 of the first version have been removed. Further, Theorems 4.8 and 4.9 have been added.
Bošnjak, Ivica +2 more
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Drawing Power Law Graphs [PDF]
, 2005 We present methods for drawing graphs that arise in various information networks. It has been noted that many realistic graphs have a power law degree distribution and exhibit the small world phenomenon. Our methods are influenced by recent developments in the modeling of such graphs.
Reid Andersen, Fan Chung, Lincoln Lu
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Arthritis Care &Research, EarlyView.Objective Knee osteoarthritis (OA) commonly affects individuals with type 2 diabetes (T2DM) and is associated with increased risk of diabetes‐related complications. To better understand potential mechanisms, we examined the association between symptomatic knee OA and glycemic control in individuals with T2DM.
Lauren K. King +10 more
wiley +1 more source
CSEE Journal of Power and Energy SystemsKnowledge graph, which is a rapidly developing technology, provides strong support in business and engineering. Knowledge graph plays an important role in recommendations and decision-making, while in the electric power industry, there would be more ...
Tianjiao Pu +3 more
doaj +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
IEEE Open Access Journal of Power and EnergyDynamic State Estimation is a crucial task in power systems. Graph Neural Networks have demonstrated significant potential in dynamic state estimation, for power systems by effectively analyzing measurement data and capturing the complex interactions and
Seyed Hamed Haghshenas, Mia Naeini
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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
International Journal of Electrical Power & Energy SystemsThe transient stability assessment (TSA) model based on graph deep learning relies on complete system topology and its characteristics. However, electrical operation data may be missing during the measurement and transmission process, which can lead to a
Chenhao Zhao +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Visibility Graph Power Geometric Aggregation Operator and Its Application in Water, Energy, and Food Efficiency Evaluation. [PDF]
Int J Environ Res Public Health, 2020 Liu L, Huang J, Wang H.
europepmc +1 more source