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Antonio Padovano
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2020 – today
- 2024
- [j18]Antonio Padovano
, Francesco Longo, Luigi Manca, Roberto Grugni:
Improving safety management in railway stations through a simulation-based digital twin approach. Comput. Ind. Eng. 187: 109839 (2024) - 2023
- [j17]Francesco Longo, Antonio Padovano
From "prepare for the unknown" to "train for what's coming": A digital twin-driven and cognitive training approach for the workforce of the future in smart factories. J. Ind. Inf. Integr. 32: 100437 (2023) - [c15]Giovanni Mirabelli, Letizia Nicoletti, Antonio Padovano, Vittorio Solina
Exploring the Role of Industry 4.0 and Simulation as a Solution to the COVID-19 Outbreak: a Literature Review. ISM 2023: 1918-1929 - [c14]Francesco Longo, Giovanni Mirabelli, Antonio Padovano, Vittorio Solina
The Digital Supply Chain Twin paradigm for enhancing resilience and sustainability against COVID-like crises. ISM 2023: 1940-1947 - [c13]Antonio Cimino, Mohaiad Elbasheer
Empowering Field Operators in Manufacturing: a Prospective Towards Industry 5.0. ISM 2023: 1948-1953 - [e3]Francesco Longo, Michael Affenzeller, Antonio Padovano, Weiming Shen:
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), Lisbon, Portugal, 22-24 November 2023. Procedia Computer Science 217, Elsevier 2023 [contents] - 2022
- [j16]Francesco Longo, Letizia Nicoletti, Antonio Padovano:
New perspectives and results for Smart Operators in industry 4.0: A human-centered approach. Comput. Ind. Eng. 163: 107824 (2022) - [j15]Giuseppina Ambrogio, Luigino Filice, Francesco Longo, Antonio Padovano:
Workforce and supply chain disruption as a digital and technological innovation opportunity for resilient manufacturing systems in the COVID-19 pandemic. Comput. Ind. Eng. 169: 108158 (2022) - [c12]Francesco Longo, Antonio Padovano, Lorenzo Caputi, Gianluca Gatti, Petronilla Fragiacomo, Virginia D'Augusta, Simone Talarico:
Distributed Simulation for Digital Twins: an Application to Support the Autonomous Robotics for the Extended Ship. DS-RT 2022: 179-186 - [e2]Francesco Longo, Michael Affenzeller, Antonio Padovano:
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus - Linz, Austria, 17-19 November 2021. Procedia Computer Science 200, Elsevier 2022 [contents] - [i3]Francesco Longo, Letizia Nicoletti, Antonio Padovano:
Smart operators in industry 4.0: A human-centered approach to enhance operators' capabilities and competencies within the new smart factory context. CoRR abs/2206.00104 (2022) - [i2]Francesco Longo, Letizia Nicoletti, Antonio Padovano:
Ubiquitous knowledge empowers the Smart Factory: The impacts of a Service-oriented Digital Twin on enterprises' performance. CoRR abs/2206.03268 (2022) - [i1]Francesco Longo, Letizia Nicoletti, Antonio Padovano, Gianfranco d'Atri
Blockchain-enabled supply chain: An experimental study. CoRR abs/2206.03867 (2022) - 2021
- [j14]Francesco Longo, Antonio Padovano, Barbara Cimmino, Paolo Pinto:
Towards a mass customization in the fashion industry: An evolutionary decision aid model for apparel product platform design and optimization. Comput. Ind. Eng. 162: 107742 (2021) - [j13]Eleonora Bottani, Francesco Longo, Letizia Nicoletti, Antonio Padovano, Giovanni Paolo Carlo Tancredi
Wearable and interactive mixed reality solutions for fault diagnosis and assistance in manufacturing systems: Implementation and testing in an aseptic bottling line. Comput. Ind. 128: 103429 (2021) - [j12]Francesco Longo, Antonio Padovano, Lucia Gazzaneo, Giovanni Mirabelli, Alessandra Ferraro, Marco Pirozzi, Luciano Di Donato:
Integrating physical and virtual game-based simulation for operators' training to enhance learning effectiveness: an application in hazardous industrial spaces. Int. J. Simul. Process. Model. 16(2): 130-146 (2021) - [c11]Yanjun Shi, Weiming Shen
A Cognitive Digital Twins Framework for Human-Robot Collaboration. ISM 2021: 1867-1874 - [c10]Alessandro Chiurco, Jessica Frangella, Francesco Longo, Letizia Nicoletti, Antonio Padovano, Vittorio Solina
Real-time Detection of Worker's Emotions for Advanced Human-Robot Interaction during Collaborative Tasks in Smart Factories. ISM 2021: 1875-1884 - [c9]Francesco Longo, Antonio Padovano, Vittorio Solina
Human Ergonomic Simulation to Support the Design of an Exoskeleton for Lashing/De-lashing operations of Containers Cargo. ISM 2021: 1894-1902 - [c8]Mohaiad Elbasheer
Applications of ML/AI for Decision-Intensive Tasks in Production Planning and Control. ISM 2021: 1903-1912 - [e1]Francesco Longo, Michael Affenzeller, Antonio Padovano:
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), Virtual Event, Austria, 23-25 November 2020. Procedia Computer Science 180, Elsevier 2021 [contents] - 2020
- [j11]Emanuele Santi
Machine-Learning Applications for the Retrieval of Forest Biomass from Airborne P-Band SAR Data. Remote. Sens. 12(5): 804 (2020) - [j10]Rafael Diaz
Supply Chain Modeling in the Aftermath of a Disaster: A System Dynamics Approach in Housing Recovery. IEEE Trans. Engineering Management 67(3): 531-544 (2020) - [c7]Rafael Diaz, Katherine Smith, Beatriz Acero, Francesco Longo, Antonio Padovano:
Developing an Artificial Intelligence Framework to Assess Shipbuilding and Repair Sub-Tier Supply Chains Risk. ISM 2020: 996-1002 - [c6]Francesco Longo, Antonio Padovano, Letizia Nicoletti, Caterina Fusto, Mohaiad Elbasheer
Fuzzy Cognitive Map-Based Knowledge Representation of Hazardous Industrial Operations. ISM 2020: 1042-1048 - [c5]Francesco Longo, Antonio Padovano, Lucia Gazzaneo, Jessica Frangella, Rafael Diaz:
Human factors, ergonomics and Industry 4.0 in the Oil&Gas industry: a bibliometric analysis. ISM 2020: 1049-1058
2010 – 2019
- 2019
- [j9]Francesco Longo
Ubiquitous knowledge empowers the Smart Factory: The impacts of a Service-oriented Digital Twin on enterprises' performance. Annu. Rev. Control. 47: 221-236 (2019) - [j8]Francesco Longo
Blockchain-enabled supply chain: An experimental study. Comput. Ind. Eng. 136: 57-69 (2019) - [j7]Francesco Longo
Emergency preparedness in industrial plants: A forward-looking solution based on industry 4.0 enabling technologies. Comput. Ind. 105: 99-122 (2019) - [j6]Letizia Nicoletti, Antonio Padovano:
Human factors in occupational health and safety 4.0: a cross-sectional correlation study of workload, stress and outcomes of an industrial emergency response. Int. J. Simul. Process. Model. 14(2): 178-195 (2019) - [c4]Giovanni Cuozzo
Virtual Constellation of X-C And L Band SAR Images to Assess Soil And Vegetation Water Content in Agricultural Areas. IGARSS 2019: 7310-7313 - 2018
- [j5]Francesco Longo, Letizia Nicoletti, Antonio Padovano:
An interactive, interoperable and ubiquitous mixed reality application for a smart learning experience. Int. J. Simul. Process. Model. 13(6): 589-603 (2018) - [c3]Emanuele Santi
Estimating Soil Moisture from C and X Band Sar Using Machine Learning Algorithms and Compact Polarimetry. IGARSS 2018: 1426-1429 - 2017
- [j4]Francesco Longo, Letizia Nicoletti, Antonio Padovano:
Smart operators in industry 4.0: A human-centered approach to enhance operators' capabilities and competencies within the new smart factory context. Comput. Ind. Eng. 113: 144-159 (2017) - [j3]Letizia Nicoletti, Antonio Padovano:
A multi-measure and hybrid iterative procedure for marine ports (re)design. Int. J. Simul. Process. Model. 12(2): 179-191 (2017) - [j2]Francesco Longo, Letizia Nicoletti, Antonio Padovano, Marco Vetrano:
An intelligent serious game for a multi-device cultural heritage experience. Int. J. Simul. Process. Model. 12(6): 498-514 (2017) - 2016
- [j1]Letizia Nicoletti, Antonio Padovano:
An interoperable and immersive simulation as training and procedure design support system in car terminals. Int. J. Simul. Process. Model. 11(6): 514-528 (2016) - [c2]Agostino G. Bruzzone, Francesco Longo
Disasters and Emergency Management in Chemical and Industrial Plants: Drones Simulation for Education and Training. MESAS 2016: 301-308 - [c1]Francesco Longo, Agostino G. Bruzzone, Antonio Padovano, Marco Vetrano:
Drones based relief on moon disaster simulation. SpringSim (MSCIAAS/SPACE) 2016: 13
Coauthor Index
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last updated on 2024-08-05 20:21 CEST by the dblp team
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