Data-Centric Engineering, a new #openaccess journal at the interface of engineering and data science. Published by @CambridgeUP and supported by @LR_Foundation.
New article!
GPU-accelerated ECSW hyper-reduction: implementation and performance evaluation
👉https://t.co/s5ngG8l11D
By Nicolas Lepage, Samir Beneddine, Michele Giuliano Carlino, Camilla Fiorini, Iraj Mortazavi, Denis Sipp and
Nicolas Thome
#data#policy
New article!
Data-driven prediction of drift capacity for reinforced concrete shear walls using tree-based machine learning models
👉https://t.co/R8K648XxXY
By Andrei-Odey Kadhim and Iolanda-Gabriela Craifaleanu
#data#Engineering
New article!
Bayesian tendon breakage localization under model uncertainty using distributed fiber optic sensors
👉https://t.co/KJ6RbdIuKG
By Daniel Andrés Arcones, Aeneas Paul, Martin Weiser, David Sanio, Peter Mark and Jörg F. Unger
#data#engineering
New blog!
Open Energy Services: Making Energy Forecasting and Optimisation Affordable at Scale
👉 https://t.co/Rs2WNq8pOM
By David Wölfle
#data#engineering
New article
Hierarchical Fourier Neural Operator (HFNO): an interpretable data-driven decomposition strategy for turbulent flows
👉https://t.co/0NlMJu1UPL
By Marco Cayuela, Vincent Le Chenadec, Peter Schmid and Taraneh Sayadi
#data#engineering
New article!
Pairwise interactions in turbulence time series: essential measures for validating synthetic data
👉https://t.co/r6uWA9WQ13
By Saleh Rezaeiravesh, Daniele Massaro and @pschlatt1#data#engineering
Recently published!
A data assimilation and machine learning approach for the numerical prediction of immersed bodies in oscillating motion
👉https://t.co/y49JrbUbIx
By Miguel Martínez Valero and Marcello Meldi
#data#machinelearning
New article!
A GAN-based framework for generating STFT spectrograms of rare acoustic events in structural health monitoring
👉 https://t.co/oN0wNqCD9S
By Sasan Farhadi, Mariateresa Iavarone, Mauro Corrado, @Lne_Chatzi and Giulio Ventura
#data#DeepLearning
New article!
Structural condition-based maintenance for naval vessels: an end-to-end perspective
👉https://t.co/PwnUERwKHG
By Harleigh Seyffert, Ingo Drummen, Remco Hageman, Axel Homborg, Santiago Molins Riera, Tiedo Tinga, Geir Sagvolden and Ilias Zilakos
#naval#maintenance
Recently published
AI and the net-zero journey: energy demand, emissions, and the potential for transition
👉 https://t.co/289RpIvMBc
By Pandu Devarakota, Nicolas Tsesmetzis,
Faruk O. Alpak, Apurva Gala and Detlef Hohl
#AI#energy#emissions#datacenters#netzero#CO2
New article!
Benchmarking for nonlinear system identification: Submission platform and baseline results
👉https://t.co/XesSuQmOag
By Maarten Schoukens, Max Champneys, Gerben Izaak Beintema and Timothy James Rogers
#benchmark#data#datasets#nonlinearsystems
New article!
An end-to-end PyTorch interface for differentiable PDE solvers: A RANS model-correction study
👉https://t.co/I0WZ8paUhN
By Luca Saverio, Michele Alessandro Bucci, Gianmarco Farro, Cédric Content and Denis Sipp
#MachineLearning#turbulencemodeling
Recently published article!
FloorPulse: Heart rate measurement at a distance using indirect floor vibrations
👉https://t.co/ADBvHrCLT5
By Jesse R. Codling, @juliagersey, Jeffrey D. Shulkin, Yen-Cheng Chang, Jiale Zhang, @hugo_latapie, Hae Young Noh, Pei Zhang and Yiwen Dong
Recently published!
Unsupervised scene-based clustering for underwater structural health monitoring: Enhancing image categorization and feature matching
👉https://t.co/WgqGXGHSRu
By Kiyarash Aminfar and David Lattanzi (@GeorgeMasonU)
#featurematching#imageclustering#AI
New article!
Data-driven modeling of compressive strength in sustainable self-compacting concrete incorporating recycled aggregates using ensemble learning techniques
👉https://t.co/rE3ydt295b
By @AmornPimanmas and colleagues
#machinelearning#compressivestrength#concrete