Results 121 to 130 of about 2,453,886 (301)
Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites
Advanced Functional Materials, EarlyView.Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto +4 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
An Improved Rapidly-Exploring Random Trees Algorithm Combining Parent Point Priority Determination Strategy and Real-Time Optimization Strategy for Path Planning. [PDF]
Sensors (Basel), 2021 Tian L +6 more
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Developent of stem taper equation using nonlinear mixed-effects modeling approach for Taurus fir
Turkish Journal of Forestry, 2018 The Max and Burkhart segmented taper equation was fitted using nonlinear mixed-effects modeling techniques to account for within- and between-individual variation in Taurus fir (Abies cilicica Carr.) stem profiles.
Ramazan Özçelik, Emine Yiğit
doaj +1 more source
The Wiener Index of Random Trees [PDF]
Combinatorics, Probability and Computing, 2002 The Wiener index is analysed for random recursive trees and random binary search trees in uniform probabilistic models. We obtain expectations, asymptotics for the variances, and limit laws for this parameter. The limit distributions are characterized as the projections of bivariate measures that satisfy certain fixed point equations.
openaire +4 more sources
High‐Performance Bio‐Glue From the Berries of a Parasitic Plant
Advanced Materials, EarlyView.We report a fully bio‐based adhesive derived primarily from a (poly)saccharide extract obtained from the berries of the hemi‐parasitic plant mistletoe (Viscum album), supplemented with tannic and malic acid without any further chemical functionalization.
Ufuk Gürer +8 more
wiley +1 more source
Fringe Trees for Random Trees With Given Vertex Degrees
We prove asymptotic normality for the number of fringe subtrees isomorphic to any given tree in uniformly random trees with given vertex degrees. As applications, we also prove corresponding results for random labeled trees with given vertex degrees, for
Berzunza Ojeda, Gabriel +5 more
core +1 more source
Variable Selection Bias in Classification Trees Based on Imprecise Probabilities [PDF]
, 2005 Classification trees based on imprecise probabilities provide an advancement of classical classification trees. The Gini Index is the default splitting criterion in classical classification trees, while in classification trees based on imprecise ...
Carolin Strobl, Strobl, Carolin
core +1 more source