Results 51 to 60 of about 3,868,631 (298)
Optimising structures using the principle of virtual work
Journal of the South African Institution of Civil Engineers, 2009 This paper presents a method for optimising structures with a given geometry and loading based on the principle of virtual work. The Virtual Work Optimisation Method, or VWOM, that was developed minimises the mass of the structure while meeting building ...
A Elvin, R Walls, D Cromberge
doaj
Automated tail-informed threshold selection for extreme coastal sea levels [PDF]
Natural Hazards and Earth System SciencesPeaks over threshold (POT) techniques are commonly used in practice to model tail behaviour of univariate variables. The resulting models can be used to aid in risk assessments, providing estimates of relevant quantities such as return levels and periods.
T. P. Collings +8 more
doaj +1 more source
The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection
Molecular Oncology, EarlyView.Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński +12 more
wiley +1 more source
Decision Tree Models for Automated Quality Tools Selection
Applied SciencesQuality tools have a well-established place in business management. They help diagnose, analyze, and solve quality problems. In manufacturing companies, they are also used in process and product improvement projects. However, only the proper selection of
Beata Starzyńska, Izabela Rojek
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Double machine learning and automated confounder selection: A cautionary tale
Journal of Causal Inference, 2023 Double machine learning (DML) has become an increasingly popular tool for automated variable selection in high-dimensional settings. Even though the ability to deal with a large number of potential covariates can render selection-on-observables ...
Hünermund Paul +2 more
doaj +1 more source
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Building a planning ontology to represent and exploit planning knowledge and its applications
Discover DataOntologies are known for their ability to organize rich metadata, support the identification of novel insights via semantic queries, and promote reuse.
Bharath Chandra Muppasani +6 more
doaj +1 more source
Automated Selection for Physical Models of Small-Angle Neutron Scattering [PDF]
Jisuanji gongchengTo characterize the structures and properties of samples in the analysis of experimental data of Small-Angle Neutron Scattering (SANS), a physical model must be selected corresponding to each sample for iterative fitting. However, the conventional method
LI Yakang, CHEN Gang
doaj +1 more source
Tables of the automated feature selection methods.
Tables of the automated feature selection methods.
Hassan Farhat (9000509) +13 more
core +1 more source
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
FEBS Open Bio, EarlyView.We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source