Výsledky vyhledávání - "Data and Security::005.1: Programming"

Approximate Minimum Tree Cover in All Symmetric Monotone Norms Simultaneously

Autoři: Kaul, Matthias Luo, Kelin Mnich, Matthias a další

Přispěvatelé: Kaul, Matthias Luo, Kelin Mnich, Matthias a další

Témata: all-norm approximation, FOS: Computer and information sciences, Computer Science, Information and General Works::004: Computer Sciences, Computer Science - Data Structures and Algorithms, Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic Engineering, Data Structures and Algorithms (cs.DS), ddc:004, spanning trees, Natural Sciences and Mathematics::519: Applied Mathematics, Probabilities, Clustering, Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2501.05048
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2025.57

A quasi-polynomial time algorithm for multi-arrival on tree-like multigraphs

Autoři: Ghorbani, Ebrahim Hoff, Jonah Leander Mnich, Matthias a další

Přispěvatelé: Ghorbani, Ebrahim Hoff, Jonah Leander Mnich, Matthias a další

Témata: Fixed-Parameter Tractability, Computer Science, Information and General Works::004: Computer Sciences, Rotor-routing, Arrival, Path-Like Multigraph, Tree-like Multigraph, ddc:004, Natural Sciences and Mathematics::519: Applied Mathematics, Probabilities, Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming

Popis souboru: application/pdf

Přístupová URL adresa: https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2025.39

Space-efficient parameterized algorithms on graphs of low shrubdepth

Autoři: Bergougnoux, Benjamin Chekan, Vera Ganian, Robert a další

Témata: Parameterized complexity, shrubdepth, space complexity, algebraic methods, 0: Computer Science, Information and General Works::004: Computer Sciences, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming, 5: Natural Sciences and Mathematics::510: Mathematics, 5: Natural Sciences and Mathematics::519: Applied Mathematics, Probabilities

Popis souboru: application/pdf

Relation: ACM transactions on computation theory; https://hdl.handle.net/11420/54699; https://doi.org/10.15480/882.14875; 2307.01285

Dostupnost: https://hdl.handle.net/11420/54699
https://doi.org/10.15480/882.14875

Bridging the gap between machine learning and particle accelerator physics with high-speed, differentiable simulations

Autoři: Kaiser, Jan Xu, Chenran Eichler, Annika a další

Témata: MLE@TUHH, 0: Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming

Popis souboru: application/pdf

Relation: Physical review accelerators and beams; Physical Review Accelerators and Beams 17 (5): 054601 (2024); https://hdl.handle.net/11420/47821

Dostupnost: https://hdl.handle.net/11420/47821
https://doi.org/10.15480/882.13131

StableRLS: stable reinforcement learning for simulink

Autoři: Annuth, Robert Nußbaum, Finn Ole Becker, Christian

Témata: reinforcement learning, FMU, Computer Science, Information and General Works::006: Special computer methods::006.3: Artificial Intelligence, MATLAB Simulink, Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming, Python

Final report on the ORCID login improvements project

Autoři: Goldschmidt, Oliver

Témata: DSpace-CRIS, ORCID, 0: Computer Science, Information and General Works::020: Library and Information Sciences, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming

Popis souboru: application/pdf

Relation: ORCID Login improvement for DSpace-CRIS; Final report on the ORCID login improvements project (2024); https://hdl.handle.net/11420/47816

Dostupnost: https://hdl.handle.net/11420/47816
https://doi.org/10.15480/882.9668

Deep learning assisted heuristics and exact methods for the vehicle routing problem with side constraints

Autoři: Dornemann, Jorin

Témata: Computer Science, Information and General Works::004: Computer Sciences, Computer Science, Information and General Works::003: Systems Theory, Vehicle Routin | Deep Learning | Heuristics | Neural Networks | Quantum-inspired Computing | Combinatorial Optimization, Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming, Technology::620: Engineering

Variants of Maker-Breaker games on complete and random graphs

Autoři: Mogge, Yannick

Témata: Connectivity, Eulerian and Hamiltonian graphs, Games on graphs, Natural Sciences and Mathematics::519: Applied Mathematics, Probabilities, Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming, Trees, Random graphs

Circuit design methodology of radiation-tolerant DAC for space applications

Autoři: Suresh, Aishwarya Harneer Singer, Julian Alexander Fischer, Gunter

Témata: ASET, DAC, radiation tolerant, SiGe BiCMOS technology, Space applications, TID, 0: Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming

Relation: 7th Panhellenic Conference on Electronics and Telecommunications, PACET 2024; https://hdl.handle.net/11420/47480

Dostupnost: https://hdl.handle.net/11420/47480

Dose robustness of deep learning models for anatomic segmentation of computed tomography images

Autoři: Tsanda, Artyom Nickisch, Hannes Wissel, Tobias a další

Témata: deep learning, denoising, low-dose computed tomography, semantic segmentation, 6: Technology::610: Medicine, Health, 6: Technology::620: Engineering, 0: Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming

Relation: Journal of medical imaging; Journal of Medical Imaging 11 (4): 44005 (2024); https://hdl.handle.net/11420/49018

Dostupnost: https://hdl.handle.net/11420/49018

Evaluation of mechanical property predictions of refill Friction Stir Spot Welding joints via machine learning regression analyses on DoE data

Autoři: Bock, Frederic E. Paulsen, Tino Brkovic, Nikola a další

Témata: Decision tree regression, Explainable machine learning, Linear regression, Random forest regression, Refill FSSW, SHAP value, Solid-state joining, MLE@TUHH, 0: Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming

Relation: 24th International ESAFORM Conference on Material Forming, ESAFORM 2021; 24th International Conference on Material Forming (ESAFORM 2021); https://hdl.handle.net/11420/47823

Dostupnost: https://hdl.handle.net/11420/47823

Current state and outlook in medical 3D printing and the role of radiology ; Aktuelle und zukünftige Anwendungsgebiete des 3D-Druck in der Medizin und der Stellenwert der Radiologie

Autoři: Streckenbach, Anna Schubert, Niklas Streckenbach, Felix a další

Témata: 3D-print | additive manufacturing | personalized medicine | preoperative planning | radiology | three-dimensional printing, 6: Technology::610: Medicine, Health, 6: Technology::620: Engineering, 0: Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming

Relation: RöFo; RöFo Fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgebenden Verfahren 197 (7): 770–780 (2025); https://hdl.handle.net/11420/52302

Dostupnost: https://hdl.handle.net/11420/52302

Mechanical performance prediction for friction riveting joints of dissimilar materials via machine learning

Autoři: Bock, Frederic E. Blaga, Lucian-Attila Klusemann, Benjamin

Témata: Decision trees, Process parameters, Random forests, Solid state joining, Support vector machines, Ultimate tesnile force, MLE@TUHH, 0: Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming

Relation: Procedia manufacturing; https://hdl.handle.net/11420/47832

Dostupnost: https://hdl.handle.net/11420/47832

Hybrid modelling by machine learning corrections of analytical model predictions towards high-fidelity simulation solutions

Autoři: Bock, Frederic E. Keller, Sören Huber, Norbert a další

Témata: Analyticalmodel, Artificial neural networks, model correction, Data driven, Feature engineering, Finite elementmodel, Laser shock peening, Machine learning, Physics based, Residual stresses, MLE@TUHH, 0: Computer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.1: Programming

Relation: Materials; Materials 14 (8): 1883 (2021); https://hdl.handle.net/11420/47833

Dostupnost: https://hdl.handle.net/11420/47833