Results 71 to 80 of about 2,368,406 (271)
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Background Police officers are at higher risk for mental health issues. Research that advances knowledge on job demands and resources remains crucial. Research on humor is sparse, despite it being commonplace in the workplace, and an accessible resource.
Royce Anders +2 more
doaj +1 more source
Geodesic Distance Function Learning via Heat Flow on Vector Fields [PDF]
Learning a distance function or metric on a given data manifold is of great importance in machine learning and pattern recognition. Many of the previous works first embed the manifold to Euclidean space and then learn the distance function. However, such
He, Xiaofei +3 more
core
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Equitable access to digital higher education for students with disabilities in South Africa
Background: The growing reliance on digital learning in South Africa, partly because of the emergence of the coronavirus disease 2019 (COVID-19) and 4IR technologies, risks excluding students with disabilities (SwDs) if measures to adequately support ...
Johannes N. Zongozzi, Sindile A. Ngubane
doaj +1 more source
Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai +6 more
wiley +1 more source
Effect of magnetic field on thermal instability of a rotating Rivlin-Ericksen viscoelastic fluid
The thermal instability of a rotating Rivlin-Ericksen viscoelastic fluid in the presence of uniform vertical magnetic field is considered. For the case of stationary convection, Rivlin-Ericksen viscoelastic fluid behaves like a Newtonian fluid.
Pardeep Kumar, Hari Mohan, Roshan Lal
doaj +1 more source
The Lvov-Warsaw School and Its Future
The Lvov-Warsaw School (L-WS) was the most important movement in the history of Polish philosophy, and certainly prominent in the general history of philosophy, and 20th century logics and mathematics in particular.[...]
Angel Garrido, Piedad Yuste
doaj +1 more source
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source

