Publikationen von Toni Schneidereit
T. Schneidereit, M. Breuß:
Polynomial Neural Forms Using Feedforward Neural Networks for Solving Differential Equations
Artificial Intelligence and Soft Computing, Springer International Publishing, 2021,Vol. 12854, pp. 236-245T. Schneidereit, M. Breuß:
Solving Ordinary Differential Equations using Artificial Neural Networks - A study on the solution variance
Proceedings of the Conference Algoritmy, 2020, 21-30T. Schneidereit, M. Breuß:
Collocation polynomial neural forms and domain fragmentation for solving initial value problems
Neural Computing and Applications, Springer Science and Business Media LLC, 2021T. Schneidereit, M. Breuß:
Computational characteristics of feedforward neural networks for solving a stiff differential equation
Neural Computing and Applications, Springer Science and Business Media LLC, 2022T. Schneidereit:
The solution of time-dependent ordinary differential equations using neural networks : collocation polynomial neural forms and adaptive neural domain refinement
PhdThesis, FG Angewandte Mathematik, FG Angewandte Mathematik, 2022A. M. Yarahmadi, M. Breuß, C. Hartmann, T. Schneidereit:
Unsupervised Optimization of Laser Beam Trajectories for Powder Bed Fusion Printing and Extension to Multiphase Nucleation Models
Springer INdAM Series, Springer Nature Singapore, 2023, pp. 157-176T. Schneidereit, M. Breuß:
Adaptive neural-domain refinement for solving time-dependent differential equations
Advances in Continuous and Discrete Models, Springer Science and Business Media LLC, 2023S. Schneidereit, A. M. Yarahmadi, T. Schneidereit, M. Breuß, M. Gebauer:
YOLO-Based Object Detection in Industry 4.0 Fischertechnik Model Environment
Intelligent Systems and Applications, Springer Nature Switzerland, 2024, pp. 1-20M. Khan Mohammadi, T. Schneidereit, A. Mansouri Yarahmadi, M. Breuß:
Investigating Training Datasets of Real and Synthetic Images for Outdoor Swimmer Localisation with YOLO
AI, MDPI AG, 2024, 5, pp. 576-593