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Discrete and Continuous Models and Appli...
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Discrete and Continuous Models and Applied Computational Science,
2658-4670
Journal
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Projects
Methods of Political Science: Introduction to Quantitative Methods
Efficient methods for solving the cyclic and non-cyclic crew rostering problems in public bus transit
Assessing, understanding, and modelling visual salience and its dynamic impact on perception and selection
Early-warning signals for sudden changes in dynamical flow patterns
Activities
Process Analyses of Grounding in Chat-based CSCL: An Approach for Adaptive Scripting?
Set-oriented computation in dynamics
Modeling Efficient Grounding in Chat-based CSCL: An Approach for Adaptive Scripting?
Learner Performance of Language Learning Tasks in Web-Based Environments
Optimal trajectory generation using MPC in robotino and its implementation with ROS system
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
Applications of transfer operator methods in fluid dynamics
Perturbation Analysis to Design a Robust Decoupling Geometric Technique in Linear Multi-Input Multi-Output Systems
Domestication and/or Digital Divide – How to Overcome Binary Classifications in Analysing Everyday Internet Use and Diffusion
Contributions of declarative and procedural memory to second language accuracy and automatization
Children's Use of Spatial Skills in Solving Two Map-reading Tasks in Real Space
All Surface: Blobs and the Liquefaction of Architecture
Publications
Modeling the Clickstream Across Multiple Online Advertising Channels Using a Binary Logit With Bayesian Mixture of Normals
An incomplete and simplifying introduction to linked data
Fostering Circularity: Building a Local Community and Implementing Circular Processes
Calculation of Average Mutual Information (AMI) and false-nearest neighbors (FNN) for the estimation of embedding parameters of multidimensional time series in matlab
Wavelet based Fault Detection and RLS Parameter Estimation of Conductive Fibers with a Simultaneous Estimation of Time-Varying Disturbance
The scaled boundary finite element method for computational homogenization of heterogeneous media
Design of a Real Time Path of Motion Using a Sliding Mode Control with a Switching Surface
Setting controller parameters through a minimum strategy with a weighted least squares method
Supervised clustering of streaming data for email batch detection
Comparing Two Voltage Observers in a Sensorsystem using Repetitive Control
Insights from classifying visual concepts with multiple kernel learning
Agile knowledge graph testing with TESTaLOD
Emergency detection based on probabilistic modeling in AAL environments
Neural Combinatorial Optimization on Heterogeneous Graphs
Closed-loop control of product geometry by using an artificial neural network in incremental sheet forming with active medium
Enhancing Performance of Level System Modeling with Pseudo-Random Signals
Rebounded PSO Method for Sigmoid PID Controller for a Maglev System with Input Saturation
Managing Business Process in Distributed Systems: Requirements, Models, and Implementation
Vision-Based Deep Learning Algorithm for Detecting Potholes
Learning Rotation Sensitive Neural Network for Deformed Objects' Detection in Fisheye Images
Different approaches to learning from errors: Comparing the effectiveness of high reliability and error management approaches
Optimizing sampling of flying insects using a modified window trap
Evaluating the construct validity of Objective Personality Tests using a multitrait-multimethod-Multioccasion-(MTMM-MO)-approach
Analyzing different types of moderated method effects in confirmatory factor models for structurally different methods
A Python toolbox for the numerical solution of the Maxey-Riley equation
A Wavelet Packet Tree Denoising Algorithm for Images of Atomic-Force Microscopy
Automatic enumeration of all connected subgraphs.
Methodologies for Noise and Gross Error Detection using Univariate Signal-Based Approaches in Industrial Application
Binary Random Nets I
Using Natural Language Processing Techniques to Tackle the Construct Identity Problem in Information Systems Research
Modeling Effective and Ineffective Knowledge Communication and Learning Discourses in CSCL with Hidden Markov Models
Methodologies for noise and gross error detection using univariate signal-based approaches in industrial applications
Modelling tasks—The relation between linguistic skills, intra-mathematical skills, and context-related prior knowledge