Results 111 to 120 of about 5,525,400 (353)
International Journal of Prognostics and Health Management, 2013 This study presents the methods employed by a team from the department of Mechatronics and Dynamics at the University of Paderborn, Germany for the 2013 PHM data challenge.
James K. Kimotho +3 more
doaj +1 more source
On the tree-depth of random graphs
Discrete Applied Mathematics, 2014 The tree-depth is a parameter introduced under several names as a measure of sparsity of a graph. We compute asymptotic values of the tree-depth of random graphs. For dense graphs, p>> 1/n, the tree-depth of a random graph G is a.a.s. td(G)=n-O(sqrt(n/p)). Random graphs with p=c/n, have a.a.s.
Perarnau Llobet, Guillem +1 more
openaire +3 more sources
Recycling of Thermoplastics with Machine Learning: A Review
Advanced Functional Materials, EarlyView.This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Ensemble of optimal trees, random forest and random projection ensemble classification
Advances in Data Analysis and Classification, 2019 The predictive performance of a random forest ensemble is highly associated with the strength of individual trees and their diversity. Ensemble of a small number of accurate and diverse trees, if prediction accuracy is not compromised, will also reduce ...
Zardad Khan +6 more
semanticscholar +1 more source
Human Skin Models in Biophotonics: Materials, Methods, and Applications
Advanced Healthcare Materials, EarlyView.This review discusses how the optical properties of human skin can be replicated in human skin models. It describes the principles, materials, and techniques used to develop artificial skin for biophotonics research. Finally, the article highlights recent advances and shows how these models improve the study of light‐skin interactions without the need ...
Dardan Bajrami +4 more
wiley +1 more source
A survey of path planning of industrial robots based on rapidly exploring random trees. [PDF]
Front Neurorobot, 2023 Luo S, Zhang M, Zhuang Y, Ma C, Li Q.
europepmc +1 more source
Norbornene Homopolymerization Limits Cell Spreading in Thiol–Ene Photoclick Hydrogels
Advanced Healthcare Materials, EarlyView.Thiol–norbornene click reactions are often used in the development of cell‐permissive 3D hydrogels. However, ene–ene crosslinks in other thiol–ene systems are known to limit permissivity. This study demonstrates the negative effects of norbornene homopolymerization on 3D cell spreading and circumvents the issue by modulating polymer degree of ...
James L. Gentry, Steven R. Caliari
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Contractile vasculatures are fabricated through a one‐step bioprinting strategy. The adaptable microenvironment provided by ECM‐mimicking bioink triggers cell sorting and compartmentalization of endothelial cells and vascular smooth muscle cells toward a histological configuration by focal adhesion kinase‐mediated upregulation of cell adhesion and ...
Jun Chen +9 more
wiley +1 more source
State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials
Advanced Materials, EarlyView.Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis +6 more
wiley +1 more source