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IEEE Transactions on Neural Networks and...
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IEEE Transactions on Neural Networks and Learning Systems,
2162-237X
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Projects
DigiTaL - Digital Transformation Lab for Teaching and Learning
Fully variable valve control for internal combustion engines
Activities
Orientation workshop on "historical research projects using geographical data and GIS technology" - 2013
International Conference on Methods and Models in Automation an Robotics - MMAR 2016
EvoLang XIII
Reflexive Multi-Criteria Evaluation as a Tool to Integrate Multiple Values of Scientists and Stakeholders
A piezo servo hydraulic actuator for use in camless combustion engines and its control with MPC
The effects of pragmatic intervention on directive speech acts in a virtual exchange CLIL context at university level.
Individual difference predictors of L2 learning at the syntax/semantics interface
Alterations of a visual and how they work for and at the boundaries of an interorganizational team: A multimodal exploration
Improving the quality of selecting applicants for university student programs
It's Time to Talk About Time Shaping Competence: A Framework for Addressing “Time” in ESE
Workshop on Stochastic Models, Statistics and Their Applications 2017
Unit Root & Cointegration Testing Conference 2005
Blogs in the Foreign Language Classroom
Teaching the machine how to assess grammar skills. Modelling verb-tense exercise characteristics as a basis for an adaptive E-learning system
9th International Workshop on Set-Oriented Numerics 2022
Publications
Detection time analysis of propulsion system fault effects in a hexacopter
Using cross-recurrence quantification analysis to compute similarity measures for time series of unequal length with applications to sleep stage analysis
Is sensitivity for the complexity of mathematics teaching measurable?
The role of spatial ability in learning from instructional animations - Evidence for an ability-as-compensator hypothesis
Springback prediction and reduction in deep drawing under influence of unloading modulus degradation
Stepwise-based optimizing approaches for arrangements of loudspeaker in multi-zone sound field reproduction
Automated Invoice Processing: Machine Learning-Based Information Extraction for Long Tail Suppliers
Long-term memory predictors of adult language learning at the interface between syntactic form and meaning
On the Functional Controllability Using a Geometric Approach together with a Decoupled MPC for Motion Control in Robotino
»HOW TO MAKE YOUR OWN SAMPLES«
lp-Norm Multiple Kernel Learning
Evaluating structural and compositional canopy characteristics to predict the light-demand signature of the forest understorey in mixed, semi-natural temperate forests
A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control
Lagged Multidimensional Recurrence Quantification Analysis for Determining Leader–Follower Relationships Within Multidimensional Time Series
A Class of Simple Stochastic Online Bin Packing Algorithms
Design optimization of spiral coils for textile applications by genetic algorithm
Design of controllers applied to autonomous unmanned aerial vehicles using software in the loop
Simple saturated relay non-linear PD control for uncertain motion systems with friction and actuator constraint
Exploration strategies, performance, and error consequences when learning a complex computer task
Lessons learned for spatial modelling of ecosystem services in support of ecosystem accounting