Results 21 to 30 of about 26,692,092 (245)
Diversity of wave structures to the conformable fractional dynamical model
Journal of Ocean Engineering and Science, 2023 This manuscript examines the recently developed conformable three-dimensional Wazwaz–Benjamin–Bona–Mahony (3D-WBBM) equation’s dynamical behavior in terms of its spatial and temporal variables.
U. Younas, J. Ren
doaj +1 more source
A classification of emerging and traditional grid systems [PDF]
, 2008 The grid has evolved in numerous distinct phases. It started in the early ’90s as a model of metacomputing in which supercomputers share resources; subsequently, researchers added the ability to share data.
Li, M, Kurdi, H, Al-Raweshidy, H
core +4 more sources
Camouflage-resistant graph neural networks for power grid anomaly detection
CybersecurityPower grid anomaly detection requires modeling both network topology and device dependencies. Graph neural networks (GNNs) are suitable for this task.
Ya Guo +5 more
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MDFN: Enhancing Power Grid Image Quality Assessment via Multi-Dimension Distortion Feature
SensorsLow-quality power grid image data can greatly affect the effect of deep learning in the power industry. Therefore, adopting accurate image quality assessment techniques is essential for screening high-quality power grid images.
Zhenyu Chen +3 more
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FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
User oriented access to secure biomedical resources through the grid [PDF]
, 2006 The life science domain is typified by heterogeneous data sets that are evolving at an exponential rate. Numerous post-genomic databases and areas of post-genomic life science research have been established and are being actively explored. Whilst many of
Watt, J +9 more
core
Intelligent under-sampled data classification algorithm based on machine learning and KNN
Discover Artificial IntelligenceA data classification algorithm based on machine learning and k-nearest neighbor intelligent undersampling is proposed. The proposed algorithm targets the challenges posed by an excess of majority-class samples and the scarcity of minority-class ...
Di Wang, Siyao An, Haoyu Gu, Jiamin Li
doaj +1 more source
DBDW: A Dual-Branch Database Workload Prediction Model
Journal of Applied Science and EngineeringScalable cloud databases allow users to dynamically adjust computational resources based on business needs. However, most current elastic scaling techniques face challenges in making sound decisions due to complex workload variations. Achieving efficient
Chao Yang +3 more
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Energies, 2023 With the increasing prominence of the global carbon emission problem, the accurate prediction of carbon emissions has become an increasingly urgent need.
Wei Yang +5 more
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FEBS Letters, EarlyView.Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav +2 more
wiley +1 more source