Graph based process models as basis for efficient data driven surrogates - Expediting the material development process. engrXiv : engineering archive, Open Engineering Inc., Nov 16, 2024. [PUMA: FIS_scads making modeling, decision Surrogate Data development, Process topic_engineering driven]
An open-source framework for data-driven trajectory extraction from AIS data—The α-method. Ocean engineering, (312)Elsevier Science B.V., Nov 15, 2024. [PUMA: FIS_scads Trajectory topic_engineering Data-driven, extraction Big Open-source, data, AIS,]
Developing a numerical modelling strategy for metallic pin pressing processes in fibre reinforced thermoplastics to investigate fibre rearrangement mechanisms during joining. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, (238)12:2286--2298, SAGE Publications, Nov 15, 2024. [PUMA: FIS_scads Eulerian, Joining, Lagrangian simulation composite, topic_engineering Arbitrary]
Addressing maximization bias in reinforcement learning with two-sample testing. Artificial intelligence, (336)Elsevier Science B.V., November 2024. [PUMA: FIS_scads Two-sample bias, learning, Estimation expected testing Reinforcement topic_engineering Maximum Q-learning, value,]
Two-step dynamic obstacle avoidance. Knowledge-based systems, (302)Elsevier Science B.V., Oct 25, 2024. [PUMA: FIS_scads Dynamic Local learning Deep Supervised planning, path learning, avoidance, reinforcement topic_engineering obstacle]
Dynamic tail risk forecasting: what do realized skewness and kurtosis add?. Sep 20, 2024. [PUMA: FIS_scads topic_engineering econ.EM]
Artificial neural network small-sample-bias-corrections of the AR(1) parameter close to unit root. Statistica Neerlandica, Wiley-Blackwell, Oxford u. a., Jul 31, 2024. [PUMA: FIS_scads small network, neural bias topic_engineering correction, sample]
Leader-Follower Identification with Vehicle-Following Calibration for Non-Lane-Based Traffic. May 17, 2024. [PUMA: FIS_scads topic_engineering physics.soc-ph]
Robust path following on rivers using bootstrapped reinforcement learning. Ocean engineering, (298)Elsevier Science B.V., Apr 15, 2024. [PUMA: FIS_scads Path waterways Autonomous Restricted learning, surface vessel, reinforcement Deep topic_engineering following,]
Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration. In Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Thomas Bäck, Heike Trautmann, Tea Tusar, and Penousal Machado (Eds.), Parallel Problem Solving from Nature – PPSN XVIII, 202--216, Springer, Berlin u. a., Sep 7, 2024. [PUMA: FIS_scads Performance functions optimization, Multi-objective Pareto indicator, Utility Benchmarking, compliance, assessment, topic_engineering R2]
Dancing to the State of the Art?: How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem. In Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Thomas Bäck, Heike Trautmann, Tea Tusar, and Penousal Machado (Eds.), Parallel Problem Solving from Nature – PPSN XVIII, 100--115, Springer, Berlin u. a., Sep 7, 2024. [PUMA: FIS_scads Hardness, Traveling Configuration, Benchmarking, Search, Problem topic_engineering Algorithm Heuristic Salesperson]
A methodology for direct parameter identification for experimental results using machine learning — Real world application to the highly non-linear deformation behavior of FRP. Computational Materials Science, (244 (2024))Elsevier Science B.V., September 2024. [PUMA: FIS_scads Fiber modeling, area_architectures plastics, reinforced Constitutive Machine identification learning, networks, Parameter topic_engineering Neural]
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. Proceedings of the Genetic and Evolutionary Computation Conference, 1007 -- 1016, Association for Computing Machinery (ACM), United States of America, Jul 14, 2024. [PUMA: FIS_scads imported topic_engineering]
Digitalized composite material and product development – strategies and methods for multiscale experimental-numerical validation processes using PLM and MBSE approaches. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, (3):1576--1583, European Society for Composite Materials (ESCM), Jul 2, 2024. [PUMA: FIS_scads segmentation, composites, process product x-ray data, synthetic hybrid topic_engineering computed experimental-numerical model-based woven event-driven training lifecycle/data structures, management, chains, fiber-reinforced systems validation, composite tomography engineering,] URL
Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, (3):1252--1259, European Society for Composite Materials (ESCM), Jul 2, 2024. [PUMA: Convolutional FIS_scads Fiber area_architectures neural plastics rate dependency, reinforced Direct Strain Machine learning, networks, identification, parameter topic_engineering] URL
Penalized estimation of hierarchical Archimedean copula. J. Multivar. Anal., (201)CAcademic Press, Inc., USA, July 2024. [PUMA: Hierarchical estimation 62G07 Stage-wise copula likelihood Archimedean topic_engineering 62H12 Maximum] URL
Copula modeling from Abe Sklar to the present day. Journal of Multivariate Analysis, (201)Academic Press Inc., May 2024. [PUMA: FIS_scads Copula models, modeling Dependence topic_engineering]
Preface to the Special Issue “Copula modeling from Abe Sklar to the present day”. Journal of Multivariate Analysis, (201)Academic Press Inc., May 2024. [PUMA: FIS_scads imported topic_engineering]
Towards Autonomous Driving with Small-Scale Cars: A Survey of Recent Development. Apr 9, 2024. [PUMA: FIS_scads cs.RO, topic_engineering cs.AI]
Flight delay propagation inference in air transport networks using the multilayer perceptron. Journal of air transport management, (114)Elsevier, Oxford u.a., January 2024. [PUMA: FIS_scads causality, Granger perceptron propagation, Multilayer topic_engineering Delay]