Results 141 to 150 of about 131,772 (305)
Time‐Dependent Oxidation and Scale Evolution of a Wrought Co/Ni‐Based Superalloy
This study shows how a new wrought Co/Ni‐based superalloy resists oxidation at 800 ∘$^\circ$C. The oxide scale changes from rough, fast‐growing spinel to a dense, protective chromia–alumina layer. Atom probe analysis reveals tiny refractory‐rich bubbles at the interface that mark the transition to long‐term, diffusion‐controlled protection ...
Cameron Crabb +6 more
wiley +1 more source
A Forward Moving Method For Continuous Nearest Neighbor Queries
[[abstract]]A continuous nearest neighbor (CNN) query retrieves the nearest neighbor of every point on a line segment and indicates its valid segments. Zheng et al. have proposed a Hilbert-curve index for the CNN query.
沈俊宏;Shen, Jun-Hong;Chang, Ye-In;Chang, Ye-In;Chen-Chang, W;Wu, Chen-Chang;Liu, Ta-Wei;Liu, Ta-Wei
core
Attribute weighting in k-nearest neighbor classification [PDF]
Data mining is the process of getting useful information by analyzing different kind of data. Predictive data mining is used to predict some property of incoming data for example how to classify it.
Syed, Muhammad Ejazuddin
core
Robust Spot Melting by 3D Spot Arrangements in Electron Beam Powder Bed Fusion
This work proposes an approach to replace separately melted contours for spot melting in electron beam powder fusion. Adapting the spot arrangements close to the contour combined with stacking yields a comparable surface quality without the inherent challenges of separate contours, as demonstrated, by electron optical images and roughness measurements.
Tobias Kupfer +4 more
wiley +1 more source
Cervical cancer detection using K nearest neighbor imputer and stacked ensemble learningmodel. [PDF]
Chen X +7 more
europepmc +1 more source
Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph
Approximate nearest neighbor search is a fundamental problem and has been studied for a few decades. Recently graph-based indexing methods have demonstrated their great efficiency, whose main idea is to construct neighborhood graph offline and perform a ...
Xiao, Yan +4 more
core +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Predicting Students' Mathematical Decision Making Using k-Nearest Neighbor Technique
: Mathematical decision-making abilities are mathematical information processing through risk evaluation and investigation of various possibilities and perspectives.
Giyanti Giyanti, Rina Oktaviyanthi
doaj +1 more source
Spatial point pattern is an important tool for describing the spatial distribution of species in ecology. Negative binomial distribution (NBD) is widely used to model spatial aggregation.
Meng Gao, Gao, Meng
core +1 more source
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

