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Journal of Logic and Algebraic Programmi...
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Journal of Logic and Algebraic Programming,
1567-8326
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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
AuditXcellence - Master in Auditing
Automated Material Handling System with Cooperative, Autonomous Robots in Warehouses
Activities
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
Probabilistic and discrete methods for the computational study of coherent behavior in flows
“Exploring Language in a Task-Based SVR Escape Game"
Learner Performance of Language Learning Tasks in Web-Based Environments
Publications
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
The scaled boundary finite element method for computational homogenization of heterogeneous media
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
Authenticity and authentication in language learning
Development of a Didactic Graphical Simulation Interface on MATLAB for Systems Control
Knowledge Graph Question Answering Using Graph-Pattern Isomorphism
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
Using learning protocols for knowledge acquisition and problem solving with individual and group incentives
Analysis of Complexity Reduction in Kalman Filters Through Decoupling Control With Chattered Inputs in PMSM
Towards a Dynamic Interpretation of Subjective and Objective Values
Analysis of priority rule-based scheduling in dual-resource-constrained shop-floor scenarios
Substructure, subgraph, and walk counts as measures of the complexity of graphs and molecules.
Essentializing the binary self
Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System
Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire
Adaptive and Dynamic Feedback Loops between Production System and Production Network based on the Asset Administration Shell
A sufficient asymptotic stability condition in generalised model predictive control to avoid input saturation