Results 61 to 70 of about 22,195,649 (288)

Comparison of Circuit Models for ML-Assisted Microwave Circuit Design

IEEE Journal of Microwaves
Machine-learning (ML) assisted microwave circuit design is an interesting complement to traditional topology-based design since it opens up previously unexplored design spaces that in some cases may offer better performance, or similar performance with a
Martin Sjodin, Oskar Talcoth, Haojie Chang, Han Zhou, Kristoffer Andersson   +4 more
doaj   +1 more source

Integration of value and sustainability assessment in design space exploration by machine learning: an aerospace application

Design Science, 2020
The use of decision-making models in the early stages of the development of complex products and technologies is a well-established practice in industry.
Alessandro Bertoni, Sophie I. Hallstedt, Siva Krishna Dasari, Petter Andersson   +3 more
doaj   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

Making global sensitivity analysis feasible using neural network surrogates

Data-Centric Engineering
How can we make global sensitivity analysis accessible and viable for engineering practice? In this translation article, we present a methodology to enable sensitivity analysis for structural and geotechnical engineering for built environment design and ...
Gihan Weerasinghe, Ramaseshan Kannan, Samila Bandara   +2 more
doaj   +1 more source

Optimal Model Management for Multifidelity Monte Carlo Estimation [PDF]

, 2015
This work presents an optimal model management strategy that exploits multifidelity surrogate models to accelerate the estimation of statistics of outputs of computationally expensive high-fidelity models.
Gunzburger, Max, Peherstorfer, Benjamin, Willcox, Karen E   +2 more
core   +1 more source

Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li, Raquel Revuelta Iniesta, Alan R. Barker, Dimitris Vlachopoulos, Tomáš Sláma, Christina Schindera, Fabiën N. Belle   +6 more
wiley   +1 more source

Best Practices in Developing a Workflow for Uncertainty Quantification for Modeling the Biodegradation of Mg‐Based Implants

Advanced Science
Computational models of electrochemical biodegradation of magnesium (Mg)‐based implants are uncertain. To quantify the model uncertainty, iterative evaluations are needed.
Tamadur AlBaraghtheh, Regine Willumeit‐Römer, Berit Zeller‐Plumhoff   +2 more
doaj   +1 more source

Model-Based Sequential Design of Experiments with Machine Learning for Aerospace Systems

Aerospace
Traditional experimental design methods often face challenges in handling complex aerospace systems due to the high dimensionality and nonlinear behavior of such systems, resulting in nonoptimal experimental designs.
Tim Gerling, Kai Dresia, Jan Deeken, Günther Waxenegger-Wilfing   +3 more
doaj   +1 more source

MATSuMoTo: The MATLAB Surrogate Model Toolbox For Computationally Expensive Black-Box Global Optimization Problems [PDF]

, 2014
MATSuMoTo is the MATLAB Surrogate Model Toolbox for computationally expensive, black-box, global optimization problems that may have continuous, mixed-integer, or pure integer variables.
Mueller, Juliane
core  

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source