| Real-time decision-support system for high-mix low-volume production scheduling in industry 4.0 B Kocsi, MM Matonya, LP Pusztai, I Budai Processes 8 (8), 912, 2020 | 75 | 2020 |
| Real-Time Decision-Support System for High-Mix Low-Volume Production Scheduling in Industry 4.0. Processes, 8 (8), 912 B Kocsi, MM Matonya, LP Pusztai, I Budai | 5 | 2020 |
| Production planning, scheduling and risk analysis in manufacturing operations by robotic process automation MM Matonya, B Kocsi, LP Pusztai, I Budai | 4 | 2020 |
| Innovation, Artificial Intelligence in Contingent Work-Force Management MM Matonya | 3 | 2020 |
| Optimizing Healthcare Business Processes with Process Mining Software: A Comparative Analysis MM Matonya, L Pusztai, I Budai Decision Making: Applications in Management and Engineering 7 (2), 380-400, 2024 | 1 | 2024 |
| Object-Centric Process Mining Framework for Industrial Safety and Quality Validation Using Support Vector Machines MM Matonya, I Budai Applied System Innovation 9 (1), 2, 2025 | | 2025 |
| Cloud-Based Data-Driven Framework for Optimizing Operational Efficiency and Sustainability in Tube Manufacturing MM Matonya, I Budai Applied System Innovation 8 (4), 100, 2025 | | 2025 |
| Assessing the Effectiveness of Marine Robotics Technologies for Marine Oil Spill and Microplastic Mitigation: A Comparative Study MM Matonya, DC Rukonu The Journal of Maritime Science and Technology (JMST) 2 (1), 8-17, 2024 | | 2024 |
| Community Perspectives on the Use of Pipeline Quality Natural Gas in Tanzania.'Embracing Blue Economy Agenda' DC Rukonu, MM Matonya Journal of Maritime Science and Technology 1 (ISSN 2961-6158), 2023 | | 2023 |
István BudaiUniversity of DebrecenVerified email at eng.unideb.hu
