Results 91 to 100 of about 4,508,134 (250)

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

The Bernstein-Von Mises Theorem in Semiparametric Competing Risks Models [PDF]

Semiparametric Bayesian models are nowadays a popular tool in survival analysis. An important area of research concerns the investigation of frequentist properties of these models.
Nils L. Hjort, Pierpaolo De Blasi
core  

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Analyzing Competing Risk Data Using the R timereg Package [PDF]

In this paper we describe flexible competing risks regression models using the comp.risk() function available in the timereg package for R based on Scheike et al. (2008).
Mei-Jie Zhang, Thomas H. Scheike
core  

Competing-risks regression analysis of the new risk model in the testing set.

, 2016
Competing-risks regression analysis of the new risk model in the testing set.
Karen A. Wright (2217355), Kenneth R. Muir (146404), Artitaya Lophatananon (146409), Anna Gavin (2902007), Vincent J. Gnanapragasam (383053), David C. Greenberg (2217352)   +5 more
core   +1 more source

Flexural Behavior of 3D‐Printed Porous Bouligand‐Structured Polymers: Influence of Pitch Angle and Porosity

Advanced Engineering Materials, EarlyView.
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil, Edward D. McCarthy, Parvez Alam   +2 more
wiley   +1 more source

Calibration of cause-specific absolute risk for external validation using each cause-specific hazards model in the presence of competing events

Diagnostic and Prognostic Research
Background When developing/validating prognostic models, it is typical to assess calibration between predicted and observed risks — either in the development dataset or in an external sample.
Sarwar I. Mozumder, Sarah Booth, Richard D. Riley, Mark J. Rutherford, Paul C. Lambert   +4 more
doaj   +1 more source

Analysis of dependent competing risks using downton’s bivariate weibull distribution

, 2023
In this thesis, the focus is developing an inference for the Downton's bivariate Weibull (DBW) distribution, particularly in the context of dependent competing risks.
Karunanayake, Nayanthi M.
core  

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Dependent censoring bias assessment using inverse probability of censoring weights: Type 2 diabetes mellitus risk in patients initiating bisoprolol versus other antihypertensives in a Clinical Practice Research Datalink cohort study

Journal of Comparative Effectiveness Research
Dependent censoring involves a preferential attrition of a subgroup of interest; occurring in survival analysis, it may impact interpretation by introducing a selection bias.
Antoine Pinon, Arthur Allignol, Thilo Hohenberger, Caroline Foch, Emmanuelle Boutmy, Ulrike Hostalek   +5 more
doaj   +1 more source