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Towards automated statistical partial discharge source classification using pattern recognition techniques
H Janani, B Kordi - High Voltage, 2018 - Wiley Online Library
This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …
discharge (PD) source identification and probabilistic interpretation of the classification …
Simulation study on reward function of reinforcement learning in gantry work cell scheduling
In a work cell with material handling gantries, gantry movements constrain the production of
the work cell. Due to the fact that the gantry real-time scheduling and the material flow are …
the work cell. Due to the fact that the gantry real-time scheduling and the material flow are …
Development of numerical cognition in children and artificial systems: a review of the current knowledge and proposals for multi‐disciplinary research
A Di Nuovo, T Jay - Cognitive Computation and Systems, 2019 - Wiley Online Library
Numerical cognition is a distinctive component of human intelligence such that the
observation of its practice provides a window in high‐level brain function. The modelling of …
observation of its practice provides a window in high‐level brain function. The modelling of …
Piagetian experiments to DevRobotics
Integrating robots into our daily lives, once a distant dream, is gradually becoming a reality,
surpassing our initial expectations. Today, we aspire for these robots to not only perform …
surpassing our initial expectations. Today, we aspire for these robots to not only perform …
A Procedural Constructive Learning Mechanism with Deep Reinforcement Learning for Cognitive Agents
L de Lellis Rossi, E Rohmer… - Journal of Intelligent & …, 2024 - Springer
Recent advancements in AI and deep learning have created a growing demand for artificial
agents capable of performing tasks within increasingly complex environments. To address …
agents capable of performing tasks within increasingly complex environments. To address …
Grounding fingers, words and numbers in a cognitive developmental robot
A Di Nuovo, M Vivian… - 2014 IEEE Symposium on …, 2014 - ieeexplore.ieee.org
The young math learner must make the transition from a concrete number situation, such as
that of counting objects (fingers often being the most readily available), to that of using a …
that of counting objects (fingers often being the most readily available), to that of using a …
The iCub learns numbers: An embodied cognition study
Thanks to recent technological advances and the increasing interest towards the Cognitive
Developmental Robotics (CDR) paradigm, many popular platforms for scientific research …
Developmental Robotics (CDR) paradigm, many popular platforms for scientific research …
Knowledge transfer in reinforcement learning agent
VD Markova, VK Shopov - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
This manuscript is focused on transfer learning methods for reinforcement learning agents.
An preview of contemporary papers in area of transfer Leaning and Knowledge transfer. We …
An preview of contemporary papers in area of transfer Leaning and Knowledge transfer. We …
A comparison of fuzzy approaches for training a humanoid robotic football player
Fuzzy Systems are an efficient instrument to create efficient and transparent models of the
behavior of complex dynamic systems such as autonomous humanoid robots. The human …
behavior of complex dynamic systems such as autonomous humanoid robots. The human …