Results 121 to 130 of about 2,145,607 (256)
, 2006 Consider a unit which can experience any one of k competing failure types, and suppose that for each unit we observe the time to failure, T, and the type of failure, C ∈ {1, 2,..., k}. The case of observing the pair (T, C) is termed “competing risks ” in
Bo Henry Lindqvist
core
Nonparametric Estimation of Cumulative Incidence Functions of Recurrent Events
StatisticaThe present paper discusses modeling and analysis of recurrent event data with competing risks. We propose non parametric estimation of cumulative incidence functions of recurrent event competing risks model.
Sisuma Mandakathingal Sivadasan +1 more
doaj +1 more source
Fabrication Routes for Ionic Conducting Fiber Strain Sensors
Advanced Engineering Materials, EarlyView.Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw +3 more
wiley +1 more source
Likelihood-Based Estimation of a Proportional-Hazard, Competing- Risk Model with Grouped Duration Data [PDF]
This short paper demonstrates two important results related to the estimation of competing-risk models under the proportional-hazards assumption with grouped duration data.
Mark Yuying An
core
Advanced Engineering Materials, EarlyView.Gallium microalloying redirects interfacial reactions in low‐temperature Bi–Sn solders from Cu–Sn toward Cu–Ga intermetallic formation. The resulting Cu–Ga layer suppresses intermetallic growth during thermal aging, alters fracture pathways, and improves interfacial stability.
Iva Králová +6 more
wiley +1 more source
, 2005 A competing risks model is a model for multiple durations that start at the same point of time for a given subject, where the subject is observed until the first duration is completed and one also observes which of the durations is completed first.
van den Berg, Gerard J.
core
Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs
Advanced Engineering Materials, EarlyView.The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen +14 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Advanced Engineering Materials, EarlyView.Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.ABSTRACT Chitosan, a polysaccharide upcycled from biowaste, has long promised sustainable, biocompatible, and antimicrobial films and devices, an appeal reinforced by its recent regulatory recognition, with several chitosan‐based antibacterial dressings gaining clearance through the Food and Drug Administration's 510(k) pathway.
Jacopo Nicoletti +16 more
wiley +1 more source