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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"Using Graph Neural Networks for Wall Modeling in Compressible Anisothermal Flows" explores approaches to enhance #CFD simulations. Discover how GNNs tackle complex industry challenges in the latest paper by Dorian Dupuy, Nicolas Odier, & Corentin Lapeyre . [doi.org/10.1017/dce.20…]
Dive into "A Stand-Alone Proximity-Based Gaming Wearable for Remote Physical Activity Monitoring" by Kieran Woodward , Professor Eiman Kanjo, Will Parker, & Bradley Patrick. Discover how #IoT & #WearableTech revolutionize physical activity through gaming. [doi.org/10.1017/dce.20…]
📢CFP: Data-driven Techniques in Geoscience, #Geomechanics & Geotechnical #Engineering Consider submitting to this special issue in the DCE Journal Cambridge University Press: bit.ly/3mYgMnp Brian Sheil Dayu Apoji Jelena Ninic Steve Sun Pin ZHANG @CSIC_IKC UCB Center for Smart Infrastructure
CALL FOR PAPERS REMINDER! Emerging Trends & Concepts for Future Automotive Electronics and Software 🗓️ Submit by 31 July 👉 bit.ly/3KIvo2U Seeking papers that explore the technical underpinnings of future automotive systems. S Ramamoorthy Innovate UK The Alan Turing Institute
NEW ARTICLE: Advancing digital healthcare #engineering for ageing #ships and offshore structures: an in-depth review and feasibility analysis Jeom Kee Paik Pusan National University & colleagues UCL MechEng & Tongmyong University bit.ly/4c0iKYW #MachineLearning #DigitalTwins #Data
NEW ARTICLE: Optimal experiment design with adjoint-accelerated Bayesian inference ✍️ Matthew Yoko & Matthew P. Juniper (Engineering Dept) 👉 bit.ly/3zaxJRt #Data-driven #Engineering
CALL FOR PAPERS REMINDER! Physics Enhancing #MachineLearning in Applied #Solid Mechanics 🗓️Deadline: 31 July 2024 👉 bit.ly/3RnvmkQ Submit your work for this ongoing special collection in DCE, partnering with Claire Garland. Editors: Alice Cicirello @ DVU group & Zack Xuereb Conti
ARTICLE: Semantic agent framework for automated flood assessment using dynamic knowledge graphs 👉doi.org/10.1017/dce.20… Markus Kraft & colleagues CEB Cambridge Cambridge CARES CMCL NTU Chemistry The Alan Turing Institute #DigitalTwins #Engineering #Floods #SmartCities
New research! Georgia Tech researchers Elizabeth Mone & Pranay Seshadri revisit Geoffrey Ingram Taylor’s iconic analysis of the 1945 Trinity atomic bomb test, using modern computer vision to refine energy yield calculations. 🔗doi.org/10.1017/dce.20… #NuclearPhysics
András Retzler and team integrate physical knowledge into the black-box model of an industrial robot arm's dynamics. Their combined model outperforms both fully physics-based and complete black-box models. MECO Research Team Flanders Make Retzler András 🔗doi.org/10.1017/dce.20…
Junyi Lu and team propose a novel transfer learning method to enhance state estimation in low voltage networks, improving reliability using day-ahead forecasts and intraday residuals. Bruce Stephen University of Strathclyde EEE Strathclyde 🔗doi.org/10.1017/dce.20…
📢 Call for Papers: Update! DCE Special Collection on Emerging Trends and Concepts for Future #Automotive #Electronics and Software 🗓️ Deadline: 29 November 2024 For more information , read: bit.ly/3TkBY4U Consider submitting your work! S Ramamoorthy The Alan Turing Institute
DCE Webinar Series: Check out "Reinforcement Learning in Building Energy Management" presented by Zoltan Nagy 🇱🇺🇭🇺🇨🇭🇧🇬🇺🇸 📅 Wednesday 17th Jul 2024 ⏰ 14.30 PM (Europe/London) cassyni.com/events/Tfeoiwt…
Join us TOMORROW! "Reinforcement Learning in Building Energy Management" presented by Zoltan Nagy 🇱🇺🇭🇺🇨🇭🇧🇬🇺🇸 📅 Wednesday 17th Jul 2024 ⏰ 14.30 PM (Europe/London) cassyni.com/events/Tfeoiwt…
Did you miss our last webinar? Watch it here and be sure to subscribe to our Cassyni channel for updates on future seminars, speakers, and to watch past discussion. cassyni.com/events/Tfeoiwt… Zoltan Nagy 🇱🇺🇭🇺🇨🇭🇧🇬🇺🇸 #ReinforcementLearning #DataCentricEngineering
Data research is far-reaching - explore Cambridge University Press data articles and collections in the Data Science Hub > cup.org/3WM3zOt