| Nome |
# |
|
Visualizing Classification Results: Confusion Star and Confusion Gear, file e40f7b8a-e590-afca-e053-6605fe0aeaf2
|
382
|
|
Condition Monitoring of Electro-Mechanical Actuators for Aerospace Using Batch Change Detection Algorithms, file e40f7b88-315d-afca-e053-6605fe0aeaf2
|
294
|
|
Experimental development of a health monitoring method for electro-mechanical actuators of flight control primary surfaces in more electric aircrafts, file e40f7b88-e44f-afca-e053-6605fe0aeaf2
|
213
|
|
Data on the first endurance activity of a Brushless DC motor for aerospace applications, file e40f7b88-d3d5-afca-e053-6605fe0aeaf2
|
128
|
|
Modeling and simulation of bimetallic strips in industrial circuit breakers, file e40f7b8a-5ce7-afca-e053-6605fe0aeaf2
|
126
|
|
Learning meets control. Data analytics for dynamical systems, file e40f7b87-7625-afca-e053-6605fe0aeaf2
|
123
|
|
KBERG: A MatLab toolbox for nonlinear kernel-based regularization and system identification, file e40f7b89-f23c-afca-e053-6605fe0aeaf2
|
115
|
|
Nonlinear system identification via data augmentation, file e40f7b8a-2d17-afca-e053-6605fe0aeaf2
|
96
|
|
Identification of dynamic textures using Dynamic Mode Decomposition, file e40f7b89-a90c-afca-e053-6605fe0aeaf2
|
89
|
|
Mechatronics applications of condition monitoring using a statistical change detection method, file e40f7b89-ca9e-afca-e053-6605fe0aeaf2
|
87
|
|
A SIAT3HE model of the COVID-19 pandemic in Bergamo, Italy, file e40f7b8a-acb7-afca-e053-6605fe0aeaf2
|
87
|
|
Piecewise nonlinear regression with data augmentation, file e40f7b8a-5ce5-afca-e053-6605fe0aeaf2
|
80
|
|
Nonparametric continuous-time identification of linear systems: theory, implementation and experimental results, file e40f7b8a-68b0-afca-e053-6605fe0aeaf2
|
74
|
|
Experimental fault detection of input gripping pliers in bottling plants, file 7c2b37cf-cd85-44ac-9c89-63405a58c9e0
|
57
|
|
Model-based fault diagnosis of sliding gates electro-mechanical actuators transmission components with motor-side measurements, file 9869f3a0-5094-43a1-bc20-8e614d0fcf40
|
56
|
|
Determining the Importance of Physicochemical Properties in the Perceived Quality of Wines, file 2ba2b92b-02e7-46ff-ba20-be116e09cbb2
|
48
|
|
Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach, file e40f7b89-b5f9-afca-e053-6605fe0aeaf2
|
38
|
|
Evaluation of robust sensors placement schemes for leaks isolation in water distribution networks, file d83ee1af-3e31-470e-9e18-e3315506c040
|
36
|
|
GLISp-r: a preference-based optimization algorithm with convergence guarantees, file 064a3f4b-0d72-4a9b-ac3f-5a2314c1230b
|
33
|
|
Artificial Pancreas under a Zone Model Predictive Control based on Gaussian Process models: toward the personalization of the closed loop, file a6757a29-8bb3-47ec-a47f-28691072e858
|
31
|
|
FRAN-X: An improved diagnostic transfer learning approach with application to ball bearings fault diagnosis, file 4549e87f-9d4c-490e-9d97-afc8e5cc7052
|
13
|
|
Development and Experimental Testing of a Health Monitoring System of Electro-Mechanical Actuators for Small Airplanes, file e40f7b88-534e-afca-e053-6605fe0aeaf2
|
12
|
|
Model Uncertainty-Aware Residual Generators for SISO LTI Systems Based on Kernel Identification and Randomized Approaches, file 0672aabc-4e45-4881-a119-0a053e8a1557
|
9
|
|
Chest X-ray at Emergency Admission and Potential Association with Barotrauma in Mechanically Ventilated Patients: Experience from the Italian Core of the First Pandemic Peak, file 4a69c003-46fa-4cd2-8971-6db82151b576
|
5
|
|
Unsupervised Learning of Fundamental Emotional States via Word Embeddings, file e40f7b87-5916-afca-e053-6605fe0aeaf2
|
5
|
|
Data-driven mixed-sensitivity control with automated weighting functions selection, file 3284c0c0-3bcb-4930-b5a5-0ec6d40dd809
|
4
|
|
Control-oriented modeling of SKU-level demand in retail food market, file e40f7b86-ef44-afca-e053-6605fe0aeaf2
|
4
|
|
A comparison of manifold regularization approaches for kernel-based system identification, file e40f7b88-ede1-afca-e053-6605fe0aeaf2
|
4
|
|
Screening of Machine Learning Techniques on Predictive Maintenance: a Scoping Review, file 5c41c050-01f9-46af-ac4a-6c2309c4a7e1
|
3
|
|
Classification algorithms analysis for brain-computer interface in drug craving therapy, file e40f7b86-34fc-afca-e053-6605fe0aeaf2
|
3
|
|
A note on the numerical solutions of kernel-based learning problems, file e40f7b89-ef87-afca-e053-6605fe0aeaf2
|
3
|
|
An agent-based model to assess large-scale COVID-19 vaccination campaigns for the Italian territory: The case study of Lombardy region, file 2c06ae52-443d-4720-bf7e-95d9569bb97f
|
2
|
|
A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes, file 8c317ab9-34e9-4a3a-b325-3aefb05d07cb
|
2
|
|
A Comparison of Classification Algorithms for Brain Computer Interface in Drug Craving Treatment, file e40f7b85-08e1-afca-e053-6605fe0aeaf2
|
2
|
|
Low computational complexity control of a three-phases open-windings AC brushless motor, file e40f7b86-2ba1-afca-e053-6605fe0aeaf2
|
2
|
|
Development of a reliable electro-mechanical actuator for primary control surfaces in small aircrafts, file e40f7b87-1021-afca-e053-6605fe0aeaf2
|
2
|
|
Identification of nonlinear dynamical system with synthetic data: a preliminary investigation, file e40f7b88-3163-afca-e053-6605fe0aeaf2
|
2
|
|
Kernel-based identification of asymptotically stable continuous-time linear dynamical systems, file e40f7b89-cd4d-afca-e053-6605fe0aeaf2
|
2
|
|
Inertial load classification of low-cost electro-mechanical systems under dataset shift with fast end of line testing, file e40f7b8a-5ce4-afca-e053-6605fe0aeaf2
|
2
|
|
A comparison of envelope and statistical analyses for bearing diagnosis in hot steel rolling mill lines, file e40f7b8a-acb5-afca-e053-6605fe0aeaf2
|
2
|
|
A kernel-based control approach for multi-period assets allocation based on lower partial moments, file e40f7b8a-da62-afca-e053-6605fe0aeaf2
|
2
|
|
A New Physics-Informed Condition Indicator for Cost-Effective DC Solenoid Valves Using Significant Points of the Excitation Current, file 431ea9de-790f-49c4-91b1-a94c729bebc4
|
1
|
|
Fault detection via modified Principal Direction Divisive Partitioning and application to aerospace electro-mechanical actuators, file e40f7b84-4670-afca-e053-6605fe0aeaf2
|
1
|
|
An application of the remote maintenance paradigm to semi-automated machines, file e40f7b85-db3c-afca-e053-6605fe0aeaf2
|
1
|
|
Modeling and identification of an Electro-Hydraulic Actuator, file e40f7b85-e67c-afca-e053-6605fe0aeaf2
|
1
|
|
A comparison of data-driven fault detection methods with application to aerospace electro-mechanical actuators, file e40f7b86-fcf2-afca-e053-6605fe0aeaf2
|
1
|
|
Fault detection in airliner electro-mechanical actuators via hybrid particle filtering, file e40f7b86-fe57-afca-e053-6605fe0aeaf2
|
1
|
|
Learning meets control. Data analytics for dynamical systems, file e40f7b87-aa40-afca-e053-6605fe0aeaf2
|
1
|
|
Learning meets control. Data analytics for dynamical systems, file e40f7b87-d7e8-afca-e053-6605fe0aeaf2
|
1
|
|
Classification of Light Charged Particles Via Learning-Based System Identification, file e40f7b88-17e0-afca-e053-6605fe0aeaf2
|
1
|
|
Semi-supervised learning of dynamical systems: a preliminary study, file e40f7b88-520c-afca-e053-6605fe0aeaf2
|
1
|
|
Enhanced kernels for nonparametric identification of a class of nonlinear systems, file e40f7b89-cd51-afca-e053-6605fe0aeaf2
|
1
|
|
Electro-Mechanical Actuators for the More Electric Aircraft, file e40f7b8a-8af9-afca-e053-6605fe0aeaf2
|
1
|
|
Kernel-based system identification with manifold regularization: A Bayesian perspective, file e40f7b8b-65af-afca-e053-6605fe0aeaf2
|
1
|
|
Notch Filter Design with Stability Guarantees for Mechanical Resonance Suppression in SISO LTI Two-Mass Drive Systems, file ec641d6b-5cfe-46df-89b4-f0f61dc2dfb3
|
1
|
|
Robust data-driven design of a jamming detection filter for airborne electromechanical actuators, file f64d59f2-e524-4a98-9de8-48545e456af0
|
1
|
| Totale |
2.293 |