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: area_architectures topic_engineering Constitutive FIS_scads Fiber Machine Neural Parameter identification learning, modeling, networks, plastics, reinforced]
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: area_architectures topic_engineering Convolutional Direct FIS_scads Fiber Machine Strain dependency, identification, learning, networks, neural parameter plastics rate reinforced] URL
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: topic_engineering FIS_scads imported]
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: topic_engineering Algorithm Benchmarking, Configuration, FIS_scads Hardness, Heuristic Problem Salesperson Search, Traveling]
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: topic_engineering Benchmarking, FIS_scads Multi-objective Pareto Performance R2 Utility assessment, compliance, functions indicator, optimization,]
2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following. Jul 25, 2023. [PUMA: topic_engineering FIS_scads cs.AI, cs.SY eess.SY,]
Two-step dynamic obstacle avoidance. Knowledge-based systems, (302)Elsevier Science B.V., Oct 25, 2024. [PUMA: topic_engineering Deep Dynamic FIS_scads Local Supervised avoidance, learning learning, obstacle path planning, reinforcement]
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: topic_engineering FIS_scads bias correction, network, neural sample small]
Penalized estimation of hierarchical Archimedean copula. Journal of Multivariate Analysis, (201)Academic Press Inc., 2023. [PUMA: topic_engineering Archimedean FIS_scads Hierarchical Maximum Stage-wise copula, estimation estimation, likelihood]
Spatial–temporal recurrent reinforcement learning for autonomous ships. Neural Networks, (2023)165:634--653, Elsevier Science B.V., Jun 15, 2023. [PUMA: topic_engineering Algorithms, Autonomous COLREG, Computer, Deep FIS_scads Networks, Neural Psychology, Recurrency, Reinforcement, Reward Ships, learning, reinforcement surface vehicle,]
Vessel-following model for inland waterways based on deep reinforcement learning. Ocean engineering, (281)Elsevier Science B.V., August 2023. [PUMA: topic_engineering FIS_scads imported]
Data-driven determination of plant growth stages for improved weather index insurance design. Agricultural Finance Review, Emerald Group Publishing, Bingley, 2024. [PUMA: topic_engineering FIS_scads Generalized Machine Plant Temporal Weather additive basis growth index insurance learning, model, risk, stages,]
Leader-Follower Identification with Vehicle-Following Calibration for Non-Lane-Based Traffic. May 17, 2024. [PUMA: topic_engineering FIS_scads physics.soc-ph]
Towards Autonomous Driving with Small-Scale Cars: A Survey of Recent Development. Apr 9, 2024. [PUMA: topic_engineering FIS_scads cs.AI cs.RO,]
Addressing maximization bias in reinforcement learning with two-sample testing. Artificial intelligence, (336)Elsevier Science B.V., November 2024. [PUMA: topic_engineering Estimation FIS_scads Maximum Q-learning, Reinforcement Two-sample bias, expected learning, testing value,]
Plant growth stages and weather index insurance design. Annals of actuarial science, (17)3:438--458, Cambridge University Press, Nov 3, 2023. [PUMA: topic_engineering FIS_scads PS-ANOVA, Weather additive generalized growth indemnity, index insurance model, nonlinear plant stages,]
Robust path following on rivers using bootstrapped reinforcement learning. Ocean engineering, (298)Elsevier Science B.V., Apr 15, 2024. [PUMA: topic_engineering Autonomous Deep FIS_scads Path Restricted following, learning, reinforcement surface vessel, waterways]
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: topic_engineering Delay FIS_scads Granger Multilayer causality, perceptron propagation,]
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: topic_engineering AIS, Big Data-driven, FIS_scads Open-source, Trajectory data, extraction]
Copula modeling from Abe Sklar to the present day. Journal of Multivariate Analysis, (201)Academic Press Inc., May 2024. [PUMA: topic_engineering Copula Dependence FIS_scads modeling models,]
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: topic_engineering FIS_scads imported]
Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer. 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, 866--873, Institute of Electrical and Electronics Engineers Inc., United States of America, 2023. [PUMA: topic_engineering FIS_scads imported] URL
Dynamic tail risk forecasting: what do realized skewness and kurtosis add?. Sep 20, 2024. [PUMA: topic_engineering FIS_scads econ.EM]
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: topic_engineering Arbitrary Eulerian, FIS_scads Joining, Lagrangian composite, simulation]
Modelling delamination in fibre-reinforced composites subjected to through-thickness compression by an adapted cohesive law. 14th European LS-DYNA Users Conference, DYNAmore GmbH, October 2023. [PUMA: topic_engineering FIS_scads imported] URL
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: topic_engineering Data FIS_scads Process Surrogate decision development, driven making modeling,]
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: topic_engineering FIS_scads chains, composite composites, computed data, engineering, event-driven experimental-numerical fiber-reinforced hybrid lifecycle/data management, model-based process product segmentation, structures, synthetic systems tomography training validation, woven x-ray] URL