Francesco Pistolesi
Orcid: 0000-0002-1078-5599
According to our database1,
Francesco Pistolesi
authored at least 23 papers
between 2013 and 2024.
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Bibliography
2024
A human-centric system combining smartwatch and LiDAR data to assess the risk of musculoskeletal disorders and improve ergonomics of Industry 5.0 manufacturing workers.
Comput. Ind., February, 2024
Elicitation of Anxiety Without Time Pressure and Its Detection Using Physiological Signals and Artificial Intelligence: A Proof of Concept.
IEEE Access, 2024
2023
IEEE Embed. Syst. Lett., September, 2023
Guest Editorial: AI for Efficiency and Sustainability in Assembly/Disassembly Industrial Processes.
IEEE Trans. Ind. Informatics, May, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
A smartphone app to collect emotion-labeled signals in the wild using a body sensor network.
Proceedings of the IEEE International Symposium on Multimedia, 2022
Proceedings of the IEEE International Symposium on Multimedia, 2022
2021
J. Intell. Manuf., 2021
2020
IEEE Trans. Ind. Informatics, 2020
A neural classifier to evaluate the role of image resolution in the perception of color differences.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
TeMA: A Tensorial Memetic Algorithm for Many-Objective Parallel Disassembly Sequence Planning in Product Refurbishment.
IEEE Trans. Ind. Informatics, 2019
2018
IEEE Trans. Syst. Man Cybern. Syst., 2018
EMOGA: A Hybrid Genetic Algorithm With Extremal Optimization Core for Multiobjective Disassembly Line Balancing.
IEEE Trans. Ind. Informatics, 2018
An Integrated Optimization System for Safe Job Assignment Based on Human Factors and Behavior.
IEEE Syst. J., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017
2016
Solving the environmental economic dispatch problem with prohibited operating zones in microgrids using NSGA-II and TOPSIS.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Human factors-based many-objective personnel recruitment for safety-critical work environments.
Proceedings of the IECON 2016, 2016
A semi-supervised learning-aided evolutionary approach to occupational safety improvement.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Innovative models and methodologies for multi-objective optimization, decision making and knowledge discovery, with applications.
PhD thesis, 2015
2014
Proceedings of the 2014 European Modelling Symposium, Pisa, Italy, October 21-23, 2014, 2014
2013
Efficient energy dispatching in smart microgrids using an integration of fuzzy AHP and TOPSIS assisted by linear programming.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013