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  6. Methods of Political Science: Introducti...
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Methods of Political Science: Introduction to Quantitative Methods

Projekt: Lehre und Studium

Projektbeteiligte

StatusAbgeschlossen
Zeitraum15.10.20 → 31.01.21

Zuletzt angesehen

Aktivitäten

  1. Architecture of Computing Systems - ARCS2008
  2. From Projects and Formats to Communities
  3. Institutional Proxy Representatives of Future Generations: A Comparative Analysis of Types and Design Features
  4. Applications of transfer operator methods in fluid dynamics
  5. Chained to blockchain: Attachment’s swirling forces and dis/organizing consequentiality
  6. From Text to Data: AI and Human Expertise in Provenance Linked Open Data
  7. Trajectory-based computational study of coherent behavior in flows
  8. SIAM Conference on Applications of Dynamical Systems - DS 2023
  9. Some model properties to control a permanent magnet machine using a controlled invariant subspace
  10. A conceptual framework on users' digitalisation practices transforming their digital infrastructure for work
  11. Learning Shortest Paths for Word Graphs
  12. VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Provenance Language Processing and Linked Open Data Modelling
  13. Plenary lecture entitled: "Wavelet Packets for Applications in Signal Processing and Control Systems"

Publikationen

  1. Towards improved dispatching rules for complex shop floor scenarios - A genetic programming approach
  2. Semi-supervised learning for structured output variables
  3. Closed-loop control of product geometry by using an artificial neural network in incremental sheet forming with active medium
  4. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  5. Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks
  6. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  7. Ambient Intelligence and Knowledge Processing in Distributed Autonomous AAL-Components
  8. FFTSMC with Optimal Reference Trajectory Generated by MPC in Robust Robotino Motion Planning with Saturating Inputs
  9. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  10. Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter
  11. Different complex word problems require different combinations of cognitive skills
  12. Control of a Sun Tracking Robot Based on Adaptive Sliding Mode Control with Kalman Filtering and Model Predictive Control
  13. A simple fuzzy controller for robot manipulators with bounded inputs
  14. Analysis of semi-open queueing networks using lost customers approximation with an application to robotic mobile fulfilment systems
  15. Anomaly detection in formed sheet metals using convolutional autoencoders
  16. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
  17. Framework for setting up and operating biobanks
  18. The Use of Factorization and Multimode Parametric Spectra in Estimating Frequency and Spectral Parameters of Signal
  19. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  20. Identification of structure-biodegradability relationships for ionic liquids - clustering of a dataset based on structural similarity
  21. Semantic Parsing for Knowledge Graph Question Answering with Large Language Models
  22. Control of the inverse pendulum based on sliding mode and model predictive control
  23. Introducing a multivariate model for predicting driving performance
  24. Reading and Calculating in Word Problem Solving
  25. Enhancing the Building Information Modeling Lifecycle of Complex Structures with IoT
  26. Simultaneous Constrained Adaptive Item Selection for Group-Based Testing
  27. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  28. Trajectory-based computational study of coherent behavior in flows
  29. Inversion of fuzzy neural networks for the reduction of noise in the control loop