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Publications

A Methodological Approach to Legal Governance Validation

Casanovas, P., Hashmi, M. De Koker, L., Lam, H-P. (2024). A Methodological Approach to Legal Governance Validation. In AI Approaches to the Complexity of Legal Systems, AICOL XIII-XIV, LNAI, Cham: Springer, preprint.

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Efficient Deep Q-Learning for Industrial Equipment Calibration in Elevator Manufacturing

A. Evangelidis, N. Dimitriou, P. Charalampous, T. D. Mastos and D. Tzovaras, “Efficient Deep Q-Learning for Industrial Equipment Calibration in Elevator Manufacturing,” in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2024.3417254.

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On Ambiguity and the Expressive Function of Law: The Role of Pragmatics in Smart Legal Ecosystems

Casanovas, Pompeu. 2024. On Ambiguity and the Expressive Function of Law: The Role of Pragmatics in Smart Legal Ecosystems. First presented at the 31st Congress of General Linguistics of the University of Barcelona (CLUB31). To be published in Jordi Fortuny, Pau Francesch and Lluís Payrató (eds.), Ambiguity: an interdisciplinary approach. Catalan Linguistics Series. Barcelona: Edicions de la Universitat de Barcelona, 2025.

Repository link: https://arxiv.org/pdf/2406.05084

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Arquitectura de IoT para la implementación de servicios cognitivos

Valero López, CI. (2024). Arquitectura de IoT para la implementación de servicios cognitivos [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/202613

RiuNet UPV Repository link: http://hdl.handle.net/10251/202613

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Ethical Compliance of AI Tools in Industrial Manufacturing

Andrea Guillén, Christopher Fischer, Emma Teodoro, Agata Gurzawska. 2023. Ethical Compliance of AI Tools in Industrial Manufacturing. In Eccomas Proceedia p. 1303-1313. DOI: 10.7712/150123.9877.450825

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Access on Zenodo: https://zenodo.org/records/11590727

Development of Manufacturing Simulation Software for Production Managers

Saksi, M. 2023. Development of Manufacturing Simula-tion Software for Production Managers. Master’s Thesis 2023. Aalto University: https://aaltodoc.aalto.fi/items/b572e560-6529-4c84-945c-34e244d1cd95 .

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A Review Study on ML-based Methods for Defect-Pattern Recognition in Wafer Maps

T. Theodosiou, A. Rapti, K. Papageorgiou, T. Tziolas, E. Papageorgiou, N. Dimitriou, G. Margetis, D. Tzovaras, A Review Study on ML-based Methods for Defect-Pattern Recognition in Wafer Maps, Procedia Computer Science, Volume 217, 2023, Pages 570-583, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2022.12.253.
(https://www.sciencedirect.com/science/article/pii/S1877050922023316)

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Access on Zenodo: https://zenodo.org/records/11585908

Deep Fuzzy Cognitive Maps for Defect Inspection in Antenna Assembly

T. Tziolas, K. Papageorgiou, A. Feleki, T. Theodosiou, K. Rapti, E. Papageorgiou, S. Pantoja, A. Cuinas, Deep Fuzzy Cognitive Maps for Defect Inspection in Antenna Assembly, Procedia Computer Science, Volume 232, 2024, Pages 97-106, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2024.01.010.

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Access on Zenodo: https://zenodo.org/records/11413407

A Blockchain-based Digital Twin for IoT deployments in logistics and transportation

Salvador Cuñat Negueroles, Raúl Reinosa Simón, Matilde Julián, Andreu Belsa, Ignacio Lacalle, Raúl S-Julián, Carlos E. Palau, A Blockchain-based Digital Twin for IoT deployments in logistics and transportation, Future Generation Computer Systems, Volume 158, 2024, Pages 73-88, ISSN 0167-739X, https://doi.org/10.1016/j.future.2024.04.011. (https://www.sciencedirect.com/science/article/pii/S0167739X24001407)

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Access on Zenodo: https://zenodo.org/records/11381864

Ethical and Legal aspects of Human-Centricity in Manufacturing

Guillén, A and Teodoro, E. 2022. Ethical and Legal aspects of Human-Centricity in Manufacturing. In the Proceedings of CEUR Workshop – Artificial Intelligence Governance Ethics and Law (AIGEL), p. 182-188. DOI:

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Access on Zenodo: https://zenodo.org/records/12612806

Generative AI and the Rule of Law

Casanovas1, P. , Hashmi, M. and Poblet, M. 2022. Generative AI and the Rule of Law. In the Proceedings of CEUR Workshop – Artificial Intelligence Governance Ethics and Law (AIGEL), p. 22-38.

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ENHANCING DEFECT TRACEABILITY AND DATA INTEGRITY IN INDUSTRY 4.0 USING BLOCKCHAIN TECHNOLOGY

Andreana Mitsiaki, Nikolaos Dimitriou, George Margetis, Konstantinos Votis, Dimitrios Tzovaras, “Enhancing Defect Traceability and Data Integrity in Industry 4.0 Using Blockchain Technology,” in Eccomas Proceedia SMART (2023), pp. 1173-1184, doi: 10.7712/150123.9866.443273

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AN ELEVATOR CALIBRATION RECOMMENDER SYSTEM FOR EFFECTIVE DEFECT DETECTION AND PREVENTION

George Margetis, Nikolaos Dimitriou, Elpiniki Papageorgiou, Theodosios Theodosiou, Konstantinos C. Apostolakis, Stavroula Ntoa, Despoina Gavgiotaki, Dimitrios Tzovaras, Constantine Stephanidis, “An Elevator Calibration Recommender System for Effective Defect Detection and Prevention,” in Eccomas Proceedia SMART (2023), pp. 1234-1245, doi: 10.7712/150123.9871.446205

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INSPECTION OF SURFACE DEFECTS IN METAL PROCESSING INDUSTRY USING UNET-BASED ARCHITECTURES

Lampros Leontaris, Nikolaos Dimitriou, Apostolos Nikolousis, Dimitrios Tzovaras, Elpiniki Papageorgiou, “Inspection of Surface Defects in Metal Processing Industry Using UNet-Based Architectures,” in Eccomas Proceedia SMART (2023), pp. 1221-1233, doi: 10.7712/150123.9870.444670

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CENTERNET-BASED MODELS FOR THE DETECTION OF DEFECTS IN AN INDUSTRIAL ANTENNA ASSEMBLY PROCESS

Theodosios Theodosiou, Theodoros Tziolas, Konstantinos Papageorgiou, Aikaterini Rapti, Elpiniki Papageorgiou, Sebastian Pantoja, Paschalis Charalampous, Nikolaos Dimitriou, Dimitrios Tzovaras, A. Cuiñas, J. Mourelle, Andreas Böttinger, George Margetis, “Centernet-based Models for the Detection of Defects in an Industrial Antenna Assembly Process,” in Eccomas Proceedia SMART (2023), pp. 1209-1220, doi: 10.7712/150123.9869.444634

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automated defect detection in battery line assembly via deep learning analysis

Anastasios Tzelepakis, Lampros Leontaris, Nikolaos Dimitriou, Evangelia Koukidou, Dimitrios Bollas, Aristoklis Karamanidis, Dimitrios Tzovaras, “Automated Defect Detection in Battery Line Assembly via Deep Learning Analysis,” in Eccomas Proceedia SMART (2023), pp. 1196-1208, doi: 10.7712/150123.9868.444540

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AI FOR DETECTING VARIATIONS IN THE OEE DATA RECEPTION RATE IN THE MANUFACTURING INDUSTRY

Clara I. Valero, Fernando Boronat, Manuel Esteve, Carlos E. Palau, “AI for Detecting Variations in the OEE Data Reception Rate in the Manufacturing Industry,” in Eccomas Proceedia SMART (2023), pp. 1185-1195, doi: 10.7712/150123.9867.444277

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EFFICIENTDET APPLICATION FOR DETECTION OF INCORRECT ASSEMBLIES IN THE ANTENNA MANUFACTURING PROCESS

Anna Feleki, Konstantinos Papageorgiou, Theodoros Tziolas, Aikaterini Rapti, Theodosios Theodosiou, Sebastian Pantoja, Paschalis Charalampous, Nikolaos Dimitriou, Dimitrios Tzovaras, A. Cuiñas, J. Mourelle, Elpiniki Papageorgiou, Andreas Böttinger, George Margetis, “Efficientdet Application for Detection of Incorrect Ass,” in Eccomas Proceedia SMART (2023), pp. 1270-1278, doi:  10.7712/150123.9874.444639

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HAND GESTURE RECOGNITION USING RECURRENT NEURAL NETWORKS AND SYNTHETIC DATA GENERATION

F. Sabbarese, L. Magliulo, P. Carratu, M. Romano, “Hand Gesture Recognition Using Recurrent Nueral Networks and Synthetic Data Generation,” in Eccomas Proceedia SMART (2023), pp. 1279-1290, doi: 10.7712/150123.9875.445104

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An Autonomous Illumination System for Vehicle Documentation Based on Deep Reinforcement Learning

L. Leontaris, N. Dimitriou, D. Ioannidis, K. Votis, D. Tzovaras and E. Papageorgiou, “An Autonomous Illumination System for Vehicle Documentation Based on Deep Reinforcement Learning,” in IEEE Access, vol. 9, pp. 75336-75348, 2021, doi: 10.1109/ACCESS.2021.3081736

Access on Zenodo: https://zenodo.org/record/8205143

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Short Survey of Artificial Intelligent Technologies for Defect Detection in Manufacturing

E. I. Papageorgiou et al., “Short Survey of Artificial Intelligent Technologies for Defect Detection in Manufacturing,” 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA), 2021, pp. 1-7, DOI: 10.1109/IISA52424.2021.9555499.

Access on Zenodo: https://zenodo.org/record/8207954

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A Deep Regression Framework Towards Laboratory Accuracy in the Shop Floor of Microelectronics

A. Evangelidis, N. Dimitriou, L. Leontaris, D. Ioannidis, G. Tinker and D. Tzovaras, “A Deep Regression Framework Towards Laboratory Accuracy in the Shop Floor of Microelectronics,” in IEEE Transactions on Industrial Informatics, 2022, doi: 10.1109/TII.2022.3182343.

Access on Zenodo: https://zenodo.org/record/8208007

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Autoencoders for Anomaly Detection in an Industrial Multivariate Time Series Dataset

Theodoros Tziolas, Konstantinos Papageorgiou, Theodosios Theodosiou, Elpiniki Papageorgiou, Theofilos Mastos and Angelos Papadopoulos. “Autoencoders for Anomaly Detection in an Industrial Multivariate Time Series Dataset” in MDPI Engineering Proceedings, 2022, https://doi.org/10.3390/engproc2022018023.

Access on Zenodo: https://zenodo.org/record/8208030

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Aligning Emerging Technologies onto I4.0 principles: Towards a Novel Architecture for Zero-defect Manufacturing

G. Margetis, K. C. Apostolakis, N. Dimitriou, D. Tzovaras and C. Stephanidis, “Aligning Emerging Technologies onto I4.0 principles: Towards a Novel Architecture for Zero-defect Manufacturing,” 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), 2022, pp. 1-8, doi: 10.1109/ETFA52439.2022.9921492.

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Wafer Map Defect Pattern Recognition using Imbalanced Datasets

T. Tziolas et al., “Wafer Map Defect Pattern Recognition using Imbalanced Datasets,” 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA), 2022, pp. 1-8, doi: 10.1109/IISA56318.2022.9904402.

Dilemmas in Legal Governance

Casanovas, P., & Noriega, P. (2022). Dilemmas in legal governance. JOURNAL OF OPEN ACCESS TO LAW, 10(1), 1–20. https://ojs.law.cornell.edu/index.php/joal/article/view/122

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A systematic review on machine learning methods for root cause analysis towards zero-defect manufacturing

Papageorgiou K, Theodosiou T, Rapti A, Papageorgiou EI, Dimitriou N, Tzovaras D and Margetis G (2022), A systematic review on machine learning methods for root cause analysis towards zero-defect manufacturing. Front. Manuf. Technol. 2:972712. doi: 10.3389/fmtec.2022.972712

Access on Zenodo: https://zenodo.org/record/8208184

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An easy Hand Gesture Recognition System for XR-based collaborative purposes

N. Capece, G. Manfredi, V. Macellaro and P. Carratù, “An easy Hand Gesture Recognition System for XR-based collaborative purposes,” 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), Rome, Italy, 2022, pp. 121-126, DOI: 10.1109/MetroXRAINE54828.2022.9967592

Access on Zenodo: https://zenodo.org/record/8208271

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4ZDM Workshop: OPTIMAI Progress
Achieved

N. Dimitriou.

European Zero Defect Manufacturing ZDM Landscape State of Play, 8 July 2021, virtual workshop.

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