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Minas Pantelidakis
Minas Pantelidakis
PhD student, Industrial & Systems Engineering, Auburn University
Verified email at auburn.edu
Title
Cited by
Cited by
Year
Digital twins: representation, replication, reality, and relational (4Rs)
A Hyre, G Harris, J Osho, M Pantelidakis, K Mykoniatis, J Liu
Manufacturing Letters 31, 20-23, 2022
362022
A digital twin ecosystem for additive manufacturing using a real-time development platform
M Pantelidakis, K Mykoniatis, J Liu, G Harris
The International Journal of Advanced Manufacturing Technology 120 (9), 6547 …, 2022
342022
Four Rs Framework for the development of a digital twin: The implementation of Representation with a FDM manufacturing machine
J Osho, A Hyre, M Pantelidakis, A Ledford, G Harris, J Liu, K Mykoniatis
Journal of Manufacturing Systems 63, 370-380, 2022
192022
Identifying sunlit leaves using Convolutional Neural Networks: An expert system for measuring the crop water stress index of pistachio trees
M Pantelidakis, AA Panagopoulos, K Mykoniatis, S Ashkan, RC Eravi, ...
Expert Systems with Applications 209, 118326, 2022
32022
Assessing the transition from mass production to lean manufacturing using a hybrid simulation model of a LEGO® automotive assembly line
M Katsigiannis, M Pantelidakis, K Mykoniatis
International Journal of Lean Six Sigma 15 (2), 220-246, 2024
12024
Current monitoring for a fused filament fabrication additive manufacturing process using an Internet of Things system
M Katsigiannis, M Pantelidakis, K Mykoniatis, G Purdy
Manufacturing Letters 35, 933-939, 2023
2023
Condition Monitoring for Overall Equipment Effectiveness using Internet of Things, Edge Computing, and Extended Reality
M Pantelidakis, M Katsigiannis, K Mykoniatis, G Purdy, J Liu
2023 3rd International Conference on Electrical, Computer, Communications …, 2023
2023
Tomato-plant Sunlit-leaf Segmentation Using Convolutional Neural Networks: Supporting Crop Water Stress Index Measurements
J Hampton, AA Panagopoulos, M Pantelidakis, E Kor, K Mykoniatis, ...
2nd AAAI Workshop on AI for Agriculture and Food Systems, 2023
2023
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