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unstructures » structure (Expand Search), structured (Expand Search), unstructure (Expand Search), unstructural (Expand Search)
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821
Early Postseismic Deformation of the 2010 Mw 6.9 Yushu Earthquake and Its Implication for Lithospheric Rheological Properties
Published 2022-08-01Subjects: “…GPS data…”
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822
Interpretable machine learning excavates a low-alloyed magnesium alloy with strength-ductility synergy based on data augmentation and reconstruction
Published 2025-06-01“…The data augmentation technique expands the original dataset through Gaussian noise. …”
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823
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824
Lagrangian coherent structures influence the spatial structure of marine food webs
Published 2025-02-01“…Here, we used an in-situ optical dataset to detect phytoplankton patches, active acoustics to observe krill, and GPS-tagged penguins to observe three levels of the food web. These data allowed us to investigate whether the local food web overlaps with small-scale surface transport patterns as evidence that dynamic flows structure marine food webs. …”
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826
Decision Making in the Innovation Process: Data-Driven vs. Data-Informed
Published 2024-03-01“…Ultimately, it stresses the importance of aligning organizational structures to leverage data effectively for innovation. …”
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827
Adaptive encryption method of sensitive data in data center database based on big data cross-mapping fusion algorithm
Published 2025-08-01“…This approach transforms the serial operation structure of the AES algorithm into a parallel operation structure, enabling adaptive encryption of fusion sensitive data. …”
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828
Data Are Power: Addressing the Power Imbalance Around Community Data with the Open-Access Data4HumanRights Curriculum
Published 2025-02-01“…This paper provides an overview of how the training materials were co-developed with community data collectors in Nigeria and Kenya, offering insights into the fundamental principles (i.e., inclusiveness, adaptive, limited resources, and being gender- and incentive-sensitive) and the structure of the open-access training materials. …”
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829
Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches
Published 2025-07-01Subjects: Get full text
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830
3D MC. I. X-Ray Tomography Begins to Unravel the 3D Structure of a Molecular Cloud in our Galaxy’s Center
Published 2025-01-01Get full text
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831
Data-driven stochastic 3D modeling of the nanoporous binder-conductive additive phase in battery cathodes
Published 2025-05-01“…Abstract A stochastic 3D modeling approach for the nanoporous binder-conductive additive phase in hierarchically structured cathodes of lithium-ion batteries is presented. …”
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835
Biodiversity Information of benthic Species at ARtificial structures – BISAR
Published 2025-04-01“…BISAR is the first data product containing harmonised and quality-checked international data on benthos from artificial structures in the North Sea. …”
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836
Dataset for tilt-up solid and composite insulated wall panels under combined axial and lateral loadingMendeley Data
Published 2025-06-01“…Notably, this dataset fills a gap in the available literature, as no comprehensive dataset exists for insulated walls, and limited data is available for traditional tilt-up walls. …”
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837
The Optimal Cost Design of Reinforced Concrete Beams Using an Artificial Neural Network—The Effectiveness of Cost-Optimized Training Data
Published 2025-05-01“…A SHAP analysis further confirms that the CSA-based model learns more meaningful structural relationships. The findings emphasize the critical role of high-quality training data in ANN-based structural design and suggest the potential for extending the framework to multi-objective design tasks.…”
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839
An automated data collection process for constructing graph data relying on LLMs
Published 2024-10-01“…The core of this process lies in its data-handling techniques, which include drawing, cleaning, deduplicating, extracting, and categorizing of raw data to convert unstructured data into a structured format represented and imported in a graph database. …”
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840
An automated data collection process for constructing graph data relying on LLMs
Published 2024-10-01“…The core of this process lies in its data-handling techniques, which include drawing, cleaning, deduplicating, extracting, and categorizing of raw data to convert unstructured data into a structured format represented and imported in a graph database. …”
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