Results 131 to 140 of about 88,733 (260)

Controlling Grain Growth in Powder Bed Fusion of Yttria‐Stabilized Zirconia Using Femtosecond Lasers: Challenges and Methodological Insights

Advanced Engineering Materials, EarlyView.
Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn, Sarah Kaden, Andrea Barz, Daniel Störzner, Jens Bliedtner, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Illuminating the Interface of Blocc Chemistry and Data Science: An Introduction to K‑Nearest Neighbor Analysis and K‑Medoids Clustering. [PDF]

J Chem Educ
Green NM, Putnam JLB, Hammond RI, Angello NH, Planey J, Brandt D, Martinez JA, Hummel T, Gunasekera B, Switzky R, Desmond S, Burke MD.   +11 more
europepmc   +1 more source

Fuzzy K-Nearest Neighbor Based Dental Fluorosis Classification Using Multi-Prototype Unsupervised Possibilistic Fuzzy Clustering via Cuckoo Search Algorithm. [PDF]

Int J Environ Res Public Health, 2023
Wongkhuenkaew R, Auephanwiriyakul S, Theera-Umpon N, Teeyapan K, Yeesarapat U.   +4 more
europepmc   +1 more source

Simulation‐Based Analysis of Insert Pull‐Out in Nickel‐Polyurethane Hybrid Foams Using CT‐Derived Geometries

Advanced Engineering Materials, EarlyView.
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz, Jonas Fell, Hendrik Jost, Stefan Diebels, Hans‐Georg Herrmann   +4 more
wiley   +1 more source

Boosting K-nearest neighbor regression performance for longitudinal data through a novel learning approach. [PDF]

BMC Bioinformatics
Loeloe MS, Tabatabaei SM, Sefidkar R, Mehrparvar AH, Jambarsang S.   +4 more
europepmc   +1 more source

Robust and efficient single-cell Hi-C clustering with approximate k-nearest neighbor graphs. [PDF]

Bioinformatics, 2021
Wolff J, Backofen R, Grüning B.
europepmc   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Machine learning estimating paracetamol solubility in supercritical CO₂ by utilization of K-nearest neighbor regression and metaheuristic algorithms. [PDF]

Sci Rep
Thajudeen KY, Alshehri SA, Rahamathulla M, Ahmed MM.   +3 more
europepmc   +1 more source

KNNCNV: A K-Nearest Neighbor Based Method for Detection of Copy Number Variations Using NGS Data. [PDF]

Front Cell Dev Biol, 2021
Xie K, Liu K, Alvi HAK, Chen Y, Wang S, Yuan X.   +5 more
europepmc   +1 more source

Enhancement of the Through‐Thickness Electrical Conductivity of Carbon‐Fiber‐Reinforced Plastics Using Large Graphite Particles

Advanced Engineering Materials, EarlyView.
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe, Yu Zhou, Shintaro Kamiyama, Takao Okada, Tomohiro Yokozeki, Ryoma Tokonami, Tatsuhiro Takahashi   +6 more
wiley   +1 more source