Data-Centric Engineering
@dce_journal
Data-Centric Engineering, a new #openaccess journal at the interface of engineering and data science. Published by @CambridgeUP and supported by @LR_Foundation.
ID: 1136185025068752896
https://www.cambridge.org/core/journals/data-centric-engineering 05-06-2019 08:16:34
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New article! Recurring spoken term discovery in the zero-resource constraint using diagonal patterns 👉 bit.ly/4dOzhB2 By Sudhakar Pandiarajan(VIT University), Sreenivasa Rao K (IIT Kharagpur🇮🇳) & Pabitra Mitra #SpokenTermDiscovery #patterndiscovery #diagonalpatternsearch
New Position Paper published! Machine learning and partial differential equations: benchmark, simplify, and discover 👉 bit.ly/45qvuI1 By Petros Koumoutsakos (Harvard SEAS, Harvard University) #MachineLearning #AI #GenerativeAI #PDEs
New article! Probabilistic digital twins for geotechnical design and construction 👉 bit.ly/44v7McC By Dafydd Cotoarbă, Daniel Straub & Ian F.C. Smith (TU München) #digitaltwins #BayesianNetwork #probabilisticdigitaltwin #Design #Construction
New article! Development, verification, and certification of a digital twin for a voyage data recorder 👉 bit.ly/4nnwaVe By Nikolaos Stavrou, Joseph Morelos, Dom Di Francesco, Apostolos Meliones, Pavlos Progias and Duffy Duncan The Alan Turing Institute #digitaltwins #maritimesafety
New article! Office-in-the-Loop: an investigation into Agentic AI for advanced building HVAC control systems 👉 bit.ly/4ktiq8K By Tomoya Sawada, Masahiro Mizuno, Takaomi Hasegawa, Keiichi Yokoyama & Mayuka Kono NAIST (English) #HVAC #AI #generativeAI #smartbuildings
Recently published! Bayesian optimization of underground railway tunnels using a surrogate model 👉 bit.ly/4liaSqD By Hassan Liravi, Hoang-Giang Bui, Sakdirat Kaewunruen, Aires Colaço & Jelena Ninic (Uni of Birmingham, Universidade Porto) #surrogatemodel #optimisation
New article! Physics-constrained machine learning for reduced composition space chemical kinetics 👉 bit.ly/4lP5xXp By Anuj Kumar and Tarek Echekki (NC State University) #MachineLearning #SurrogateModeling #ChemistryAcceleration
Join our webinar on Real-time digital twins: unifying bias-aware data assimilation and machine learning Join Dr Andrea Nóvoa (Imperial College London) to learn more about a new paradigm in real-time digital twins 🗓️28 July 2025 ⏰3PM BST ℹ️cassyni.com/events/9Ux7nAa… #digitaltwins
New article! Open energy services: forecasting and optimization as a service for energy management applications at scale 👉 bit.ly/4lVjjrJ By David Wölfle, Kevin Förderer, Tobias Riedel, Natascha Fernengel, Lukas Landwich, Ralf Mikut, Veit Hagenmeyer & Hartmut Schmeck
There's still time to register for our webinar on Real-time digital twins: unifying bias-aware data assimilation and machine learning with Dr Andrea Nóvoa (Imperial College London) Don't miss out, click to register! 🗓️28 July 2025 ⏰3PM BST ℹ️cassyni.com/events/9Ux7nAa… #digitaltwins
Today's the day! Join Dr Andrea Nóvoa (Imperial College London) for our webinar on Real-time digital twins: unifying bias-aware data assimilation and machine learning with Click the link to register! ⏰3PM BST ℹ️cassyni.com/events/9Ux7nAa… #digitaltwins
Did you miss Dr Andrea Nóvoa's (Imperial College London) webinar on Real-time digital twins: unifying bias-aware data assimilation and machine learning? A recording of the event is now available on demand. Check it out here: cassyni.com/events/9Ux7nAa… #digitaltwin #data #MachineLearning
In honour of the 31st ACM/SIGKDD Knowledge and Data Discovery Conference this week, enjoy free access to our curated article collection - featuring content from Environmental Data Science, Data & Policy, Data-Centric Engineering and Network Science. Explore the full collection: cup.org/4fm0dce
