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Stefano Baraldo
Stefano Baraldo
SUPSI - University of Applied Sciences of Southern Switzerland
Verifisert e-postadresse på supsi.ch - Startside
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Multisensor data fusion for additive manufacturing process control
A Vandone, S Baraldo, A Valente
IEEE Robotics and Automation Letters 3 (4), 3279-3284, 2018
532018
Smooth trajectory generation for industrial robots performing high precision assembly processes
A Valente, S Baraldo, E Carpanzano
CIRP Annals 66 (1), 17-20, 2017
512017
Vision-based melt pool monitoring system setup for additive manufacturing
A Vandone, S Baraldo, A Valente, F Mazzucato
Procedia Cirp 81, 747-752, 2019
272019
Home-based telesurveillance program in chronic heart failure: effects on clinical status and implications for 1-year prognosis
A Giordano, S Scalvini, AM Paganoni, S Baraldo, M Frigerio, C Vittori, ...
TELEMEDICINE and e-HEALTH 19 (8), 605-612, 2013
252013
Track geometry prediction for Laser Metal Deposition based on on-line artificial vision and deep neural networks
M Perani, S Baraldo, M Decker, A Vandone, A Valente, B Paoli
Robotics and Computer-Integrated Manufacturing 79, 102445, 2023
172023
Closed-loop control by laser power modulation in direct energy deposition additive manufacturing
S Baraldo, A Vandone, A Valente, E Carpanzano
Proceedings of 5th International Conference on the Industry 4.0 Model for …, 2020
152020
3D vision system integration on Additive Manufacturing machine for in-line part inspection
A Vandone, S Baraldo, D Anastassiou, A Marchetti, A Valente
Procedia CIRP 95, 72-77, 2020
142020
Machine learning based track height prediction for complex tool paths in direct metal deposition
D Knüttel, S Baraldo, A Valente, F Bleicher, K Wegener, E Carpanzano
CIRP Annals 71 (1), 193-196, 2022
112022
Outcome prediction for heart failure telemonitoring via generalized linear models with functional covariates
S Baraldo, F Ieva, AM Paganoni, V Vitelli
Scandinavian Journal of Statistics 40 (3), 403-416, 2013
112013
Transfer learning of neural network based process models in Direct Metal Deposition
D Knüttel, S Baraldo, A Valente, K Wegener, E Carpanzano
Procedia CIRP 107, 863-868, 2022
62022
Model based learning for efficient modelling of heat transfer dynamics
D Knüttel, S Baraldo, A Valente, K Wegener, E Carpanzano
Procedia CIRP 102, 252-257, 2021
62021
Smooth joint motion planning for high precision reconfigurable robot manipulators
S Baraldo, A Valente
2017 IEEE International Conference on Robotics and Automation (ICRA), 845-850, 2017
62017
Estimation approaches for the Apparent Diffusion Coefficient in Rice-distributed MR signals
S Baraldo, F Ieva, L Mainardi, AM Paganoni
Complex Models and Computational Methods in Statistics, 13-26, 2013
42013
Generalized behavior framework for mobile robots teaming with humans in harsh environments
O Avram, S Baraldo, A Valente
Frontiers in robotics and AI 9, 898366, 2022
32022
Ablation threshold estimation for femtosecond pulsed laser machining of AISI 316L
A Orlandini, S Baraldo, M Porta, A Valente
Procedia CIRP 107, 617-622, 2022
32022
Ground control: an acquisition and control system architecture for LMD
M Banfi, S Baraldo, A Vandone, A Valente
Procedia CIRP 107, 605-610, 2022
32022
Vision-based control for track geometry optimization of complex AM motion profiles by on-line laser power modulation
S Baraldo, A Vandone, A Valente, E Carpanzano
Procedia CIRP 95, 78-82, 2020
32020
Statistical models for hazard functions: a case study of hospitalizations in health failure telemonitoring
S Baraldo, F Ieva, AM Paganoni, V Vitelli
Proceedings of the XLVth Scientific Meeting of the Italian Statistical Society, 2010
32010
Height prediction in directed metal deposition with artificial neural networks
D Knüttel, S Baraldo, A Valente, E Carpanzano, K Wegener
Procedia CIRP 113, 312-317, 2022
22022
Multi-physics based methodology for evaluating powder feeding quality for Laser Metal Deposition
S Baraldo, A Roncoroni, F Palo, A Valente
Procedia CIRP 107, 623-628, 2022
22022
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Artikler 1–20