Research output per year
Research output per year
- 1 - 50 out of 139 results
Search results
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2025
Interpretable machine learning approach for nonlinear control
Minisci, E. & Avanzini, G., 2 Jul 2025. 45 p.Research output: Contribution to conference › Presentation/Speech
Open AccessFile -
A sensitivity study of the transonic aerodynamics of a strut-braced airframe
Nagy, P., Jones, B., Minisci, E. & Fossati, M., 23 Jun 2025, (E-pub ahead of print) In: The Aeronautical Journal. p. 1-21 21 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
2024
Automatic design of interpretable control laws through parametrized genetic programming with adjoint state method gradient evaluation
Marchetti, F., Pietropolli, G., Camerota Verdù, F. J., Castelli, M. & Minisci, E., 1 Jul 2024, In: Applied Soft Computing Journal. 159, 17 p., 111654.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)16 Downloads (Pure) -
Opensource machine learning metamodels for assessing blade performance impairment due to general leading edge degradation
Castorrini, A., Ortolani, A., Minisci, E. & Campobasso, M. S., 10 Jun 2024, In: Journal of Physics: Conference Series. 2767, 5, 10 p., 052055.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)8 Downloads (Pure) -
Analogies between simple mechanical systems and electrohydraulic and electromechanical servomechanism
Alimhillaj, P., Minisci, E., Dallavedova, M. D. L. & Dorri, A., 29 May 2024, In: International Journal of Mechanics and Control. 25, 1, p. 45-52 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Downloads (Pure) -
A laboratory scale Foucault pendulum for the measurement of frame-dragging
Cartmell, M. P. & Minisci, E. A., 12 May 2024, Advances in Nonlinear Dynamics, Volume I: ICNDA 2023. Lacarbonara, W. (ed.). Cham: Springer, p. 735-345 11 p. (NODYCON Conference Proceedings Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
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A simplified hydraulic capacity-sensitive fluid dynamics numerical model for monitoring aerospace electro-hydraulic actuators
Dalla Vedova, M. D. L., Alimhillaj, P., Minisci, E. & Maggiore, P., 10 Jan 2024, Proceedings of the Joint International Conference: 10th Textile Conference and 4th Conference on Engineering and Entrepreneurship. Guxho, G., Kosova Spahiu, T., Prifti, V., Gjeta, A., Xhafka, E. & Sulejmani, A. (eds.). Cham: Springer, p. 264-274 11 p. (Lecture Notes on Multidisciplinary Industrial Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile -
Machine learning based prognostics of on-board electromechanical actuators
Minisci, E., Dalla Vedova, M. D. L., Alimhillaj, P., Baldo, L. & Maggiore, P., 10 Jan 2024, Proceedings of the Joint International Conference: 10th Textile Conference and 4th Conference on Engineering and Entrepreneurship. Guxho, G., Kosova Spahiu, T., Prifti, V., Gjeta, A., Xhafka, E. & Sulejmani, A. (eds.). Cham: Springer, p. 148-159 12 p. (Lecture Notes on Multidisciplinary Industrial Engineering; vol. Part F2090).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile10 Downloads (Pure) -
An aerodynamic parametric study of large aspect-ratio wings with distributed propulsion for conceptual airframe definition
Fossati, M., Jones, B., Nagy, P. & Minisci, E., 8 Jan 2024, AIAA SCITECH 2024 Forum. AIAA 2024-2332Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
2 Citations (Scopus) -
2023
A geometric sensitivity study for the aerodynamics of a strut-braced airframe
Jones, B., Nagy, P., Minisci, E. & Fossati, M., 30 Nov 2023, In: Aerospace Science and Technology. 142, Part A, 14 p., 108638.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Citations (Scopus)55 Downloads (Pure) -
Approximate estimates of orbit transfer cost for efficient mission analysis and design
Avanzini, G., Zona, D., Marchetti, F. & Minisci, E., 15 Aug 2023. 14 p.Research output: Contribution to conference › Paper
Open AccessFile23 Downloads (Pure) -
Probabilistic analysis of wind turbine performance degradation due to blade erosion accounting for uncertainty of damage geometry
Campobasso, M. S., Castorrini, A., Ortolani, A. & Minisci, E., 31 May 2023, In: Renewable and Sustainable Energy Reviews . 178, 32 p., 113254.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Citations (Scopus)42 Downloads (Pure) -
A numerical approach to evaluate temperature-dependent peridynamics damage model for destructive atmospheric entry of spacecraft
Peddakotla, S. A., Yuan, J., Minisci, E., Vasile, M. & Fossati, M., 31 Mar 2023, In: The Aeronautical Journal. 127, 1309, p. 398-427 30 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)43 Downloads (Pure) -
2022
Decentralized and automated business logic in a future MBSE blockchain ecosystem
Boumghar, R., Riccardi, A., Ameen, S., Arulselvan, A. & Minisci, E., 22 Nov 2022.Research output: Contribution to conference › Paper › peer-review
Open AccessFile24 Downloads (Pure) -
Decentralized trust management in concurrent design using blockchain
Boumghar, R., Ameen, S., Riccardi, A., Arulselvan, A., Minisci, E., Bui Long, A. & Pizarro De La Iglesia, J., 5 Oct 2022.Research output: Contribution to conference › Paper › peer-review
Open AccessFile34 Downloads (Pure) -
Reproducible industrial multifidelity optimization benchmark problems for air, space, and sea vehicles
Quagliarella, D., Clark, D., Bryson, D., Beran, P. S., Thelen, A., Mainini, L., Yildiz, S., Nikbay, M., Minisci, E., Leyland, P., Serani, A. & Diez, M., 28 Sept 2022.Research output: Contribution to conference › Paper
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Adjoint state method for the trajectory optimization of a reentry vehicle
Marchetti, F. & Minisci, E., 30 Jul 2022.Research output: Contribution to conference › Presentation/Speech
Open AccessFile68 Downloads (Pure) -
Multi-fidelity nonlinear aeroelastic analysis of a strut-braced ultra-high aspect ratio wing configuration
Nagy, P., Jones, B., Minisci, E., Fossati, M., Cea, A., Palacios, R., Roussouly, N. & Gazaix, A., 27 Jun 2022, AIAA AVIATION 2022 Forum. [Reston, VA.], 2022-3668Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile2 Citations (Scopus)109 Downloads (Pure) -
A deep learning approach to solar radio flux forecasting
Stevenson, E., Rodriguez-Fernandez, V., Minisci, E. & Camacho, D., 30 Apr 2022, In: Acta Astronautica. 193, p. 595-606 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile33 Citations (Scopus)60 Downloads (Pure) -
Analytical Benchmark Problems for Multifidelity Optimization Methods
Mainini, L., Serani, A., Rumpfkeil, M. P., Minisci, E., Quagliarella, D., Pehlivan, H., Yildiz, S., Ficini, S., Pellegrini, R., Fiore, F. D., Bryson, D., Nikbay, M., Diez, M. & Beran, P., 16 Apr 2022, Ithaca, NY, 14 p.Research output: Working paper › Working Paper/Preprint
Open AccessFile27 Downloads (Pure) -
2021
Single-stage to orbit ascent trajectory optimisation with reliable evolutionary initial guess
Marchetti, F., Minisci, E. & Riccardi, A., 20 Nov 2021, (E-pub ahead of print) In: Optimization and Engineering. 24, 1, p. 291-316 26 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)23 Downloads (Pure) -
Stochastic satellite tracking with constrained budget via structured-chromosome genetic algorithms
Gentile, L., Greco, C., Minisci, E., Bartz-Beielstein, T. & Vasile, M., 7 Nov 2021, (E-pub ahead of print) In: Optimization and Engineering. 24, 1, p. 257-290 34 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)22 Downloads (Pure) -
A novel approach for the accurate simulation of re-entry fragmentation
Peddakotla, S. A., Minisci, E. & Fossati, M., 27 Oct 2021, Proceedings of the 72nd International Astronautical Congress 2021, IAC. [Paris, France], Vol. A6. 1 p. 63161. (Proceedings of the International Astronautical Congress, IAC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile2 Citations (Scopus)26 Downloads (Pure) -
Machine learning-enabled prediction of wind turbine energy yield losses due to general blade leading edge erosion
Cappugi, L., Castorrini, A., Bonfiglioli, A., Minisci, E. & Campobasso, M. S., 1 Oct 2021, In: Energy Conversion and Management. 245, 114567.Research output: Contribution to journal › Article › peer-review
Open AccessFile38 Citations (Scopus)50 Downloads (Pure) -
Genetic programming guidance control system for a reentry vehicle under uncertainties
Marchetti, F. & Minisci, E., 6 Aug 2021, In: Mathematics. 9, 16, 19 p., 1868.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Citations (Scopus)29 Downloads (Pure) -
Investigating the influence of uncertainty in novel airframe technologies on realizing ultra-high aspect ratio wings
Ma, Y., Minisci, E. & Elham, A., 23 Jul 2021. 22 p.Research output: Contribution to conference › Paper
Open AccessFile58 Downloads (Pure) -
High-Lift Devices Topology Robust Optimisation Using Machine Learning Assisted Optimisation
Gentile, L., Morales, E., Zaefferer, M., Bartz-Beielstein, T., Minisci, E., Quagliarella, D. & Tognaccini, R., 16 Jul 2021, Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications: Proceedings of the 2020 UQOP International Conference. Vasile, M. & Quagliarella, D. (eds.). Springer, p. 297-313 17 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Convolutional generative adversarial network, via transfer learning, for traditional Scottish music generation
Marchetti, F., Wilson, C., Powell, C., Minisci, E. & Riccardi, A., 17 May 2021, Artificial Intelligence in Music, Sound, Art and Design: 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings. Romero, J., Martins, T. & Rodríguez-Fernández, N. (eds.). Cham: Springer, p. 187-202 16 p. (Lecture Notes in Computer Science; vol. 12693).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile3 Citations (Scopus)45 Downloads (Pure) -
Assessment of optimization methods for aeroacoustic prediction of trailing-edge interaction noise in axisymmetric jets
Stirrat, S., Afsar, M. Z. & Minisci, E., 28 Apr 2021, In: Mathematics. 9, 9, 17 p., 998.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)45 Downloads (Pure) -
Inclusive genetic programming
Marchetti, F. & Minisci, E., 15 Apr 2021, Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings. Hu, T., Lourenço, N. & Medvet, E. (eds.). 1 ed. Springer International Publishing AG, Vol. 12691. p. 51-65 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12691 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile4 Citations (Scopus)18 Downloads (Pure) -
2020
Modelling the trailing edge noise using optimisation techniques within a rapid distortion theory framework
Stirrat, S., Afsar, M., Minisci, E. & Kokkinakis, I., 22 Nov 2020. 1 p.Research output: Contribution to conference › Proceeding
Open AccessFile24 Downloads (Pure) -
A hybrid Neural Network-Genetic Programming Intelligent Control approach
Marchetti, F. & Minisci, E., 16 Nov 2020, Bioinspired Optimization Methods and Their Applications. Filipič, B., Minisci, E. & Vasile, M. (eds.). Cham, Switzerland: Springer, p. 240-254 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile3 Citations (Scopus)40 Downloads (Pure) -
Using optimisation techniques within a rapid-distortion theory framework to improve trailing edge noise predictions
Stirrat, S., Afsar, M., Minisci, E. & Kokkinakis, I., 28 Oct 2020. 2 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile14 Downloads (Pure) -
A deep learning approach to space weather proxy forecasting for orbital prediction
Stevenson, E., Rodríguez-Fernández, V., Minisci, E. & Camacho, D., 14 Oct 2020. 15 p.Research output: Contribution to conference › Paper
Open AccessFile1 Citation (Scopus)48 Downloads (Pure) -
A novel update mechanism for Q-Networks based on extreme learning machines
Wilson, C., Riccardi, A. & Minisci, E., 28 Sept 2020, 2020 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ.: IEEE, 7 p. 9207098Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile3 Citations (Scopus)27 Downloads (Pure) -
Towards intelligent control via genetic programming
Marchetti, F., Minisci, E. & Riccardi, A., 28 Sept 2020, 2020 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ.: IEEE, 8 p. 9207694Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile6 Citations (Scopus)30 Downloads (Pure) -
High-lift devices topology optimisation using structured-chromosome genetic algorithm
Gentile, L., Morales, E., Minisci, E., Quagliarella, D., Bartz-Beielstein, T. & Tognaccini, R., 3 Sept 2020, 2020 IEEE Congress on Evolutionary Computation (CEC). Piscataway, NJ.: IEEE, 9 p. 9185603Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile1 Citation (Scopus)36 Downloads (Pure) -
Preliminary spacecraft design by means of structured-chromosome genetic algorithms
Gentile, L., Filippi, G., Minisci, E., Vasile, M. & Bartz-Beielstein, T., 3 Sept 2020, 2020 IEEE Congress on Evolutionary Computation (CEC). Piscataway, NJ.: IEEE, 9 p. 9185796Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile1 Citation (Scopus)109 Downloads (Pure) -
Classifying intelligence in machines: a taxonomy of intelligent control
Wilson, C., Marchetti, F., Di Carlo, M., Riccardi, A. & Minisci, E., 21 Aug 2020, In: Robotics. 9, 3, 19 p., 64.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Citations (Scopus)167 Downloads (Pure) -
Modelling and simulation of transpiration cooling systems for atmospheric re-entry
Bandivadekar, D. & Minisci, E., 1 Jul 2020, In: Aerospace. 7, 7, 13 p., 89.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)150 Downloads (Pure) -
Rapid estimate of wind turbine energy loss due to blade leading edge delamination using artificial neural networks
Campobasso, M. S., Cavazzini, A. & Minisci, E., Jul 2020, In: Journal of Turbomachinery. 142, 7, 23 p., 071002.Research output: Contribution to journal › Article › peer-review
Open AccessFile18 Citations (Scopus)50 Downloads (Pure) -
AI and space security: collision risk sssessment
Sanchez Fernandez-Mellado, L., Vasile, M. & Minisci, E., 22 May 2020, Handbook of Space Security: Policies, Applications and Programs. Schrogl, K.-U. (ed.). 2nd ed. Cham, Switzerland: Springer, p. 1-19 19 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
Open AccessFile499 Downloads (Pure) -
A review of methods to study resilience of complex engineering and engineered systems
Naghshbandi, S. N., Varga, L., Purvis, A., McWilliam, R., Minisci, E., Vasile, M., Troffaes, M., Sedighi, T., Guo, W., Manley, E. & Jones, D. H., 13 May 2020, In: IEEE Access. 8, p. 87775-87799 25 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile22 Citations (Scopus)33 Downloads (Pure) -
On the use of machine learning and evidence theory to improve collision risk management
Sánchez, L., Vasile, M. & Minisci, E., 14 Jan 2020. 18 p.Research output: Contribution to conference › Paper
Open AccessFile16 Citations (Scopus)57 Downloads (Pure) -
Intelligent control: a taxonomy
Wilson, C., Marchetti, F., Di Carlo, M., Riccardi, A. & Minisci, E., 9 Jan 2020, p. 333-339. 7 p.Research output: Contribution to conference › Proceeding › peer-review
Open AccessFile3 Citations (Scopus)139 Downloads (Pure) -
2019
Machine learning-aided assessment of wind turbine energy losses due to blade leading edge damage
Cavazzini, A., Minisci, E. & Campobasso, M. S., 13 Dec 2019, ASME 2019 2nd International Offshore Wind Technical Conference. [S.I.], 14 p. IOWTC2019-7578Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile3 Citations (Scopus)30 Downloads (Pure) -
Modelling peak supersonic heated jet noise at fixed jet or fixed acoustic Mach number using an acoustic analogy-based non-parallel flow asymptotic approach
Afsar, M., Sescu, A. & Minisci, E., 24 Nov 2019.Research output: Contribution to conference › Abstract
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Towards intelligent control via genetic programming
Marchetti, F., Minisci, E. & Riccardi, A., 21 Nov 2019, p. 1-18. 18 p.Research output: Contribution to conference › Presentation/Speech
Open AccessFile32 Downloads (Pure) -
An optimization approach for designing optimal tracking campaigns for low-resources deep-space missions
Gentile, L., Greco, C., Minisci, E., Bartz-Beielstein, T. & Vasile, M., 25 Oct 2019. 11 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile4 Citations (Scopus)48 Downloads (Pure) -
AI to support decision making in collision risk assessment
Sánchez, L., Vasile, M. & Minisci, E., 24 Oct 2019. 17 p.Research output: Contribution to conference › Paper
Open AccessFile11 Citations (Scopus)41 Downloads (Pure)