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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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Projekte
Using Telepresence Robots in the Classroom
Efficient methods for solving the cyclic and non-cyclic crew rostering problems in public bus transit
Methods of Political Science: Introduction to Quantitative Methods
Value-Based Management: New Pathways Toward Sustainable Governance Using Natural Language Processing
Automating the Logistical City: Space, Algorithms, Speculation
InteGrid - Demonstration of smart grid, storage and system integration technologies with increasing share of renewables: distribution system
Complexity or control? Paradigms for sustainable development
A probabilistic view on transport and mixing in closed and open flows
Regulation of the Velocity in Automotive Applications Using Neural Network Structures
Aktivitäten
An MPC for an Aggregate Actuator with a Self-Tuning Feedforward Control
From Projects and Formats to Communities
Some model properties to control a permanent magnet machine using a controlled invariant subspace
A conceptual framework on users' digitalisation practices transforming their digital infrastructure for work
Plenary lecture entitled: Discrete Lyapunov Controllers for an Actuator in Camless Engines
Generalized Between Icon, Symbol and Index: The Physical Dimension in Isotype and Unicode
Using a Longitudinal Mixed-Methods Approach in HESD Research: Reflections on Pitfalls and Added Value
Presentation of the paper entitled "Soft Optimal Computing to Identify Surface Roughness in Manufacturing using a Gaussian and a Trigonometric Regressor"
Cluster-based Extraction of Finite-time Coherent Sets from Trajectory Data
Data-efficient Pattern Detection in Elite Soccer
Toward Interconnected Object Histories: Challenges and Opportunities in the Creation of Provenance Linked Open Data
Serial Despite Itself: "Pan" Between Deep and Differentiated Time
Students' use of feedback when working on fractions with a digital learning platform and its effects on mathematical performance
Publikationen
Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System
Modelling the Complexity of Measurement Estimation Situations - A Theoretical Framework for the Estimation of Lengths
Building a process layer for business applications using the blackboard pattern
Emergency detection based on probabilistic modeling in AAL environments
Control of a Sun Tracking Robot Based on Adaptive Sliding Mode Control with Kalman Filtering and Model Predictive Control
A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
Introducing a multivariate model for predicting driving performance
Identification of structure-biodegradability relationships for ionic liquids - clustering of a dataset based on structural similarity
Age-related differences in processing visual device and task characteristics when using technical devices
Implicit statistical learning and working memory predict EFL development and written task outcomes in adolescents
Entropy-guided feature generation for structured learning of Portuguese dependency parsing
Using the flatness of DC-Drives to emulate a generator for a decoupled MPC using a geometric approach for motion control in Robotino
A discrete-time fractional order PI controller for a three phase synchronous motor using an optimal loop shaping approach
Globally asymptotic output feedback tracking of robot manipulators with actuator constraints
Construct Objectification and De-Objectification in Organization Theory
A model predictive control in Robotino and its implementation using ROS system
Long-term memory predictors of adult language learning at the interface between syntactic form and meaning
Comparing the performance of computational estimation methods for physicochemical properties of dimethylsiloxanes and selected siloxanols
Human–learning–machines: introduction to a special section on how cybernetics and constructivism inspired new forms of learning
A change of values is in the air
Integrating errors into the training process
Analysis of Complexity Reduction in Kalman Filters Through Decoupling Control With Chattered Inputs in PMSM
TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering
Fast, Fully Automated Analysis of Voriconazole from Serum by LC-LC-ESI-MS-MS with Parallel Column-Switching Technique
Using learning protocols for knowledge acquisition and problem solving with individual and group incentives
The Influence of Note-taking on Mathematical Solution Processes while Working on Reality-Based Tasks
Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring
Presse / Medien
Paolo Mercorelli is in the list of World’s Top 2% Scientists 2022 in accordance with Elsevier Database and edited also by Stanford University