PUMA publications for /tag/multThu Mar 07 10:42:43 CET 2024Journal of turbomachinery1011003Conjugate Heat Transfer Evaluation of Turbine Blade Leading-Edge Swirl and Jet Impingement Cooling With Particulate Deposition1462024mult ubs_10006 ubs_20010 ubs_30094 ubs_30098 ubs_40142 ubs_40153 unibibliografie wos Thu Mar 07 10:42:43 CET 2024Membranes11875Hydrogen-Tolerant La0.6Ca0.4Co0.2Fe0.8O3–d Oxygen Transport Membranes from Ultrasonic Spray Synthesis for Plasma-Assisted CO2 Conversion132023mult oa ubs_10003 ubs_10004 ubs_20003 ubs_20005 ubs_30032 ubs_30055 ubs_40345 unibibliografie wos Thu Mar 07 10:42:43 CET 2024Machine learning-science and technology3035040Towards a phenomenological understanding of neural networks: data42023mult oa ubs_10003 ubs_10008 ubs_20003 ubs_20014 ubs_30039 ubs_30136 ubs_40065 ubs_40216 unibibliografie wos Thu Mar 07 10:42:43 CET 2024Materials237377Validation of the Manufacturing Methodology of Prestressed Fiber-Reinforced Polymer Concrete by the Variation of Process Parameters162023mult oa ubs_10004 ubs_10007 ubs_20005 ubs_20011 ubs_30118 ubs_30179 ubs_40310 ubs_40327 unibibliografie wos Thu Mar 07 10:42:43 CET 2024Batteries11553Comprehensive Study of Failure Mechanisms of Field-Aged Automotive Lead Batteries92023mult oa ubs_10005 ubs_10007 ubs_20007 ubs_20011 ubs_30075 ubs_30107 ubs_40102 ubs_40160 unibibliografie wos Thu Mar 07 10:42:43 CET 2024Journal of structural engineering104023200Design and Control Benchmark of Rib-Stiffened Concrete Slabs Equipped with an Adaptive Tensioning System1502024mult oa ubs_10002 ubs_20002 ubs_30017 ubs_30023 ubs_40379 ubs_40481 unibibliografie wos Fri Mar 08 10:54:35 CET 2024Proceedings of the 23rd International Society for Music Information Retrieval Conference151-159Visualization for AI-Assisted Composing2022mult oa sent ubs_10005 ubs_10017 ubs_20008 ubs_20036 ubs_30086 ubs_30204 ubs_40122 ubs_40388 unibibliografie Fri Mar 08 10:54:35 CET 2024València5th Joint International Symposium on Deformation Monitoring251-259Monitoring the production process of lightweight fibrous structures using terrestrial laser scanning2023mult sent ubs_10001 ubs_10006 ubs_20001 ubs_20009 ubs_30088 ubs_30176 ubs_40320 ubs_40418 unibibliografie Fri Mar 08 10:54:35 CET 202413th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2022)255-260Optimal medium voltage grid planning under consideration of dynamic current ratings of underground cables and e-mobility2022mult sent ubs_10005 ubs_20007 ubs_30067 ubs_40099 ubs_40100 unibibliografie Mon Mar 18 13:06:10 CET 2024DatasetRelated to: Tim Krake, Daniel Klötzl, David Hägele, and Daniel Weiskopf, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess", in IEEE Transactions on Visualization and Computer Graphics, 2024. doi: 10.1109/TVCG.2024.3364388Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material2024darus mult ubs_10005 ubs_10017 ubs_10018 ubs_20008 ubs_20024 ubs_20035 ubs_30086 ubs_30200 ubs_40132 unibibliografie In this supplemental material, we provide the appendix (mathematically exact propagation of uncertainty) and the video material for uncertainty-aware seasonal-trend decomposition based on loess (UASTL). This material complements the main document: The paper on Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess. Tue Mar 19 11:15:12 CET 2024Abstracts for ESBiomech23 : MaastrichtabstractA muscle model for injury simulation2023mult sent ubs_10007 ubs_10011 ubs_20011 ubs_20016 ubs_30115 ubs_30151 ubs_40177 ubs_40275 unibibliografie Tue Mar 19 11:15:12 CET 2024Abstracts for ESBiomech23 : MaastrichtabstractCervical muscle reflexes during lateral accelerations2023mult sent ubs_10007 ubs_10011 ubs_20011 ubs_20016 ubs_30115 ubs_30151 ubs_40177 ubs_40275 unibibliografie Tue Mar 19 11:15:12 CET 2024Barcelona15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics : Book of Abstractsabstract834Whiplash Simulation : How Muscle Modelling and Movement Interact2022mult sent ubs_10007 ubs_10011 ubs_20011 ubs_20016 ubs_30115 ubs_30151 ubs_40177 ubs_40275 unibibliografie Tue Mar 19 11:30:07 CET 20242022 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)A Virtual Assistant System for the Requirements Elicitation and Initial Simulation Model Variant Generation of Modular Industrial Plants2022mult sent ubs_10007 ubs_20011 ubs_30110 ubs_40165 ubs_40167 unibibliografie Tue Mar 19 11:30:07 CET 2024SetúbalProceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP40-52Damast : A Visual Analysis Approach for Religious History Research3 : IVAPP2023mult sent ubs_10005 ubs_10017 ubs_20008 ubs_20035 ubs_20036 ubs_30086 ubs_40460 unibibliografie Tue Mar 19 11:46:11 CET 2024SetúbalProceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP101-114Heart Rate Visualizations on a Virtual Smartwatch to Monitor Physical Activity Intensity3 : IVAPP2023mult sent ubs_10005 ubs_10017 ubs_20008 ubs_30086 ubs_40460 unibibliografie Tue Mar 19 11:46:11 CET 2024PreprintRobust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees : Technical Report2022mult sent ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40488 unibibliografie Mon Mar 25 15:12:44 CET 2024SoftwareRelated to: Y. Wang, Q. Dai, M. Bâce, K. Klein, A. Bulling. "Saliency3D: A 3D Saliency Dataset Collected on Screen", in Proceedings of the ACM Symposium on Eye Tracking Research & Applications (ETRA '24). doi: 10.1145/3649902.3653350Saliency3D: A 3D Saliency Dataset Collected on Screen (Dataset and Experiment Application)2024darus mult ubs_10005 ubs_10018 ubs_20008 ubs_20024 ubs_30086 ubs_30200 ubs_40336 unibibliografie While visual saliency has recently been studied in 3D, the experimental setup for collecting 3D saliency data can be expensive and cumbersome. To address this challenge, we propose a novel experimental design that utilizes an eye tracker on a screen to collect 3D saliency data. Our experimental design reduces the cost and complexity of 3D saliency dataset collection. We first collect gaze data on a screen, then we map them to 3D saliency data through perspective transformation. Using this method, we collect a 3D saliency dataset (49,276 fixations) comprising 10 participants looking at sixteen objects. Moreover, we examine the viewing preferences for objects and discuss our findings in this study. Our results indicate potential preferred viewing directions and a correlation between salient features and the variation in viewing directions.The files of this dataset are documented in README.md. Tue Mar 26 17:14:23 CET 2024New YorkICPE '23 Companion : Companion of the 2023 ACM/SPEC International Conference on Performance Engineering277-282Hitchhiker's Guide for Explainability in Autoscaling2023mult sent ubs_10005 ubs_10013 ubs_20008 ubs_20022 ubs_30204 ubs_40123 unibibliografie Tue Mar 26 17:14:23 CET 2024PreprintImproved a posteriori Error Bounds for Reduced port-Hamiltonian Systems2023mult sent ubs_10007 ubs_10008 ubs_20011 ubs_20013 ubs_30115 ubs_30123 ubs_40177 ubs_40305 unibibliografie multCommunity for tag(s) mult