162 Titel in Besondere Sammlungen → Veröffentlichungen der Universität → Fakultät für Elektrotechnik, Informatik und Mathematik 1
zu den Filteroptionen162 Titel in Besondere Sammlungen → Veröffentlichungen der Universität → Fakultät für Elektrotechnik, Informatik und Mathematik
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Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations
Elektronische Ressource, Paderborn, 2022
Challenges in information representation with augmented reality for procedural task support
Elektronische Ressource, Paderborn, 2024The classical and the soft-killing Inverse First-Passage Time Problem: a stochastic order approach
Elektronische Ressource, Paderborn, 2022Coherent light backscattering phenomena of powder-like surfaces
Elektronische Ressource, Paderborn, 2022Combined current control and system identification of a PMSM with neural ordinary differential equations
Elektronische Ressource, Paderborn, 2022Competitive routing in hybrid communication networks and message efficient SetCover in Ad Hoc networks
Elektronische Ressource, Paderborn, 2022The computation and analysis of invariant sets of infinite-dimensional systems
Elektronische Ressource, Paderborn, 2021Computation and analysis of Pareto critical sets in smooth and nonsmooth multiobjective optimization
Elektronische Ressource, Paderborn, 2022Computational analysis and mitigation of textual media bias
Elektronische Ressource, Paderborn, 2024Computing on encrypted data using trusted execution environments
Elektronische Ressource, Paderborn, 2021Computing splitting fields and galois groups over local function fields
Elektronische Ressource, Paderborn, 2024Contributions to Dunkl theory
Dominik Brennecken ; Betreuung durch Prof. Dr. Margit RöslerElektronische Ressource, Paderborn, 2024Contributions to funnel control of multibody systems
Elektronische Ressource, Paderborn, 2022Cooperative Android App analysis
Elektronische Ressource, Paderborn, 2023Critically frustrated signed graphs
by Chiara Cappello ; Advisor: Prof. Dr. Eckhard SteffenElektronische Ressource, Paderborn, 2023
Data-Driven Induction Motor Control by Reinforcement Learning Including a Model Predictive Safety Layer
Elektronische Ressource, Paderborn, 2022Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning
Elektronische Ressource, Paderborn, 2024