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Panagiotis D. Paraschos
Panagiotis D. Paraschos
Department of Production and Management Engineering, Democritus University of Thrace
Verified email at pme.duth.gr
Title
Cited by
Cited by
Year
Reinforcement learning for combined production-maintenance and quality control of a manufacturing system with deterioration failures
PD Paraschos, GK Koulinas, DE Koulouriotis
Journal of Manufacturing Systems 56, 470-483, 2020
802020
Game difficulty adaptation and experience personalization: A literature review
PD Paraschos, DE Koulouriotis
International Journal of Human–Computer Interaction 39 (1), 1-22, 2023
282023
Machine learning integrated design and operation management for resilient circular manufacturing systems
PD Paraschos, AS Xanthopoulos, GK Koulinas, DE Koulouriotis
Computers & Industrial Engineering 167, 107971, 2022
202022
A Decision Trees-based knowledge mining approach for controlling a complex production system
G Koulinas, P Paraschos, D Koulouriotis
Procedia Manufacturing 51, 1439-1445, 2020
172020
A machine learning-based framework for data mining and optimization of a production system
G Koulinas, P Paraschos, D Koulouriotis
Procedia Manufacturing 55, 431-438, 2021
82021
Parametric and reinforcement learning control for degrading multi-stage systems
PD Paraschos, GK Koulinas, DE Koulouriotis
Procedia Manufacturing 55, 401-408, 2021
62021
A reinforcement learning/ad-hoc planning and scheduling mechanism for flexible and sustainable manufacturing systems
PD Paraschos, GK Koulinas, DE Koulouriotis
Flexible Services and Manufacturing Journal, 1-23, 2023
52023
A machine learning framework for explainable knowledge mining and production, maintenance, and quality control optimization in flexible circular manufacturing systems
GK Koulinas, PD Paraschos, DE Koulouriotis
Flexible Services and Manufacturing Journal, 1-23, 2024
2024
Reinforcement Learning-Based Optimization for Sustainable and Lean Production within the Context of Industry 4.0
PD Paraschos, GK Koulinas, DE Koulouriotis
Algorithms 17 (3), 98, 2024
2024
Hybrid machine learning and deep learning methodologies for resilient, sustainable and interactive cyberphysical manufacturing systems: joint production, maintenance and …
P Paraschos
Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ). Σχολή Πολυτεχνική. Τμήμα Μηχανικών …, 2023
2023
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