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Annual ACM Symposium on Parallelism in A...
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Annual ACM Symposium on Parallelism in Algorithms and Architectures,
1548-6109
Fachzeitschrift
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Zeitschrift
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Projekte
Automating the Logistical City: Space, Algorithms, Speculation
Development of a simple easy-going control approach for global finite time positioning of robot manipulators with actuator saturations and with position measurements only
Aktivitäten
Modeling Efficient Grounding in Chat-based CSCL: An Approach for Adaptive Scripting?
HyperImage: Image-Oriented e-Science Networks
Comparing Two Voltage Observers in a Sensorsystem using Repetitive Control
Principal Ambidexterity: Exploring and Exploiting in dynamic Contexts
Computer Simulations in Design. How Social Media meet Computational Methods in Design Processes
Probabilistic and discrete methods for the computational study of coherent behavior in flows
Interpreting Strings, Weaving Threads – Structuring Provenance Data with AI
Small Input Devices Used by the Elderly – How Sensorimotor Transformation and Task Complexity Affect Interaction
Learner Performance of Language Learning Tasks in Web-Based Environments
Probabilistic and discrete methods for the computational study of coherent behavior in flows
Multi-Agent Path Finding with Kinematic Constraints for Robotic Mobile Fulfillment Systems
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
Applications of transfer operator methods in fluid dynamics
Exploiting the Frame for Active Learning in Multi-class Classification
Model Predictive Control for Switching Gain Adaptation in a Sliding Mode Controller of a DC Drive with Nonlinear Friction
A New Approach for Optimal Solving of Cyclic and Non-Cyclic Bus Driver Rostering Problems
Publikationen
Preventive Emergency Detection Based on the Probabilistic Evaluation of Distributed, Embedded Sensor Networks
Design of a Real Time Path of Motion Using a Sliding Mode Control with a Switching Surface
A two-step approach for the prediction of mood levels based on diary data
Setting controller parameters through a minimum strategy with a weighted least squares method
Dynamic adjustment of dispatching rule parameters in flow shops with sequence-dependent set-up times
Learning with animations and simulations in a computer-based learning environment about torques
Modeling and simulation of inelastic microstructure development and inhomogeneous material behavior via non-convex rate dependent gradient plasticity
Heuristic approximation and computational algorithms for closed networks
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
Supervised clustering of streaming data for email batch detection
Development of a Didactic Graphical Simulation Interface on MATLAB for Systems Control
A development approach for a standardized quality data model using asset administration shell technology in the context of autonomous quality control loops for manufacturing processes
Evolutionary generation of dispatching rule sets for complex dynamic scheduling problems
Set-oriented numerical computation of rotation sets
Linear Generalised Model Predictive Control to Avoid Input Saturation through Matrix Conditions
Using Natural Language Processing Techniques to Tackle the Construct Identity Problem in Information Systems Research
A genetic algorithm for a self-learning parameterization of an aerodynamic part feeding system for high-speed assembly
Using Euler Discrete Approximation to Control an Aggregate Actuator in Camless Engines
Database Publishing Without Databases
Insights from classifying visual concepts with multiple kernel learning
Semi-supervised learning for structured output variables
Global text processing in CSCL with learning protocols
Detection and mapping of water pollution variation in the Nile Delta using multivariate clustering and GIS techniques
Modeling precipitation kinetics for multi-phase and multi-component systems using particle size distributions via a moving grid technique
Ambient Intelligence and Knowledge Processing in Distributed Autonomous AAL-Components
Modelling and implementing business processes in distributed systems
What is learned in approach-avoidance tasks? On the scope and generalizability of approach-avoidance effects
How to get really smart: Modeling retest and training effects in ability testing using computer-generated figural matrix items
A Lightweight Simulation Model for Soft Robot's Locomotion and its Application to Trajectory Optimization
Inversion of Fuzzy Neural Networks for the Reduction of Noise in the Control Loop for Automotive Applications
Different complex word problems require different combinations of cognitive skills
Optimal trajectory generation using MPC in robotino and its implementation with ROS system