Results 41 to 50 of about 112,880 (265)

Structural Damage Detection Using Adversarially Calibrated Simulations and Deep Learning from Frequency-Domain Signals

Applied Sciences
Structural Damage Detection is an area that is becoming increasingly important as structure age and become more prone to failure. Early identification of these changes can lead to significant cost savings and potential damage reduction. Conventional data-
César Peláez-Rodriguez, Álvaro Iglesias-Pordomingo, Sancho Salcedo-Sanz, Antolin Lorenzana, Alvaro Magdaleno   +4 more
doaj   +1 more source

Finite Element Model Updating Using Resonance–Antiresonant Frequencies with Radial Basis Function Neural Network

Applied Sciences, 2023
The modal frequencies, model shapes or their derivatives are generally used as the characteristic quantities of the objective function for the finite element model (FEM) updating.
Haifeng Zhao, Jianzhuo Lv, Zunce Wang, Tianchi Gao, Wenhao Xiong   +4 more
doaj   +1 more source

Update on desiccant wheel model

International Journal of Energy Research, 2004
This short communication presents the update on the desiccant wheel models, developed earlier by the present authors. It is to be mentioned here that the psycrometric model presented earlier (Int. J. Energy Res., 2003; 27:17) is valid only for the desiccant wheel running with identical volume air-flows in supply and regeneration sides.
FRANZITTA, Vincenzo, BECCALI, Marco, BUTERA, Fabio, ADHIKARI R. S.   +3 more
openaire   +4 more sources

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

Dynamic Identification as a Tool to Constrain Numerical Models for Structural Analysis of Historical Buildings

Frontiers in Built Environment, 2020
Operational modal analysis (OMA), also known as output-only or ambient vibration test (AVT), has become in last decades a powerful approach for a wide range of applications in the field of civil engineering.
G. Lacanna, M. Betti, M. Ripepe, G. Bartoli   +3 more
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Parameter Identification in FEM of Mechanical Structure Within NPP Based on Seismic Response

Machines
Reliable finite element models (FEMs) are required in seismic qualification of mechanical structures within a nuclear power plant (NPP). The relative displacement response of such mechanical structures is difficult to measure, and it is costly to extract
Genfei Li, Peiyue Li, Pengju Zhao, Ruiyuan Xue, Linbin Li, Pengcheng Geng   +5 more
doaj   +1 more source

A Two-Step Method for Damage Identification and Quantification in Large Trusses via Wavelet Transform and Optimization Algorithm [PDF]

Journal of Rehabilitation in Civil Engineering, 2019
This paper suggests a two-step approach for damage prognosis in long trusses in which the first step deals with locating probable damages by wavelet transform (WT) and static deflection derived from modal data with the intention of declining the ...
Borhan Mirzaei, Kourosh Nasrollahi, Seyedmohamadmahdi Yousefbeik, Gholamreza Ghodrati Amiri, Ali Zare Hosseinzadeh   +4 more
doaj   +1 more source

Provably Safe Model Updates

CoRR
12 pages, 9 figures. This work has been accepted for publication at SaTML 2026.
Leo Elmecker-Plakolm, Pierre Fasterling, Philip Sosnin, Calvin Tsay, Matthew Wicker   +4 more
openaire   +2 more sources

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source