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Giovanni Licitra
Giovanni Licitra
IMTEK, University of Freiburg
Email verificata su neurocast.nl - Home page
Titolo
Citata da
Citata da
Anno
Performance assessment of a rigid wing Airborne Wind Energy pumping system
G Licitra, J Koenemann, A Bürger, P Williams, R Ruiterkamp, M Diehl
Energy 173, 569-585, 2019
472019
Openocl–open optimal control library
J Koenemann, G Licitra, M Alp, M Diehl
422017
Optimal input design for autonomous aircraft
G Licitra, A Bürger, P Williams, R Ruiterkamp, M Diehl
Control Engineering Practice 77, 15-27, 2018
272018
Operational regions of a multi-kite awe system
R Leuthold, J De Schutter, EC Malz, G Licitra, S Gros, M Diehl
2018 European Control Conference (ECC), 52-57, 2018
262018
Smartphone‐derived keystroke dynamics are sensitive to relevant changes in multiple sclerosis
KH Lam, J Twose, H McConchie, G Licitra, K Meijer, L de Ruiter, ...
European journal of neurology 29 (2), 522-534, 2022
192022
Optimal control for minimizing power consumption during holding patterns for airborne wind energy pumping system
G Licitra, S Sieberling, S Engelen, P Williams, R Ruiterkamp, M Diehl
2016 European Control Conference (ECC), 1574-1579, 2016
192016
Early-warning signals for disease activity in patients diagnosed with multiple sclerosis based on keystroke dynamics
J Twose, G Licitra, H McConchie, KH Lam, J Killestein
Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (11), 2020
182020
Identification and Optimization of an Airborne Wind Energy System
G Licitra
University of Freiburg, 2018
162018
Identification and Optimization of an Airborne Wind Energy System
G Licitra
University of Freiburg, 2018
162018
Aerodynamic model identification of an autonomous aircraft for airborne wind energy
G Licitra, A Bürger, P Williams, R Ruiterkamp, M Diehl
Optimal Control Applications and Methods 40 (3), 422-447, 2019
132019
Aerodynamic parameter identification for an airborne wind energy pumping system
G Licitra, P Williams, J Gillis, S Ghandchi, S Sieberling, R Ruiterkamp, ...
IFAC-PapersOnLine 50 (1), 11951-11958, 2017
122017
Viability assessment of a rigid wing airborne wind energy pumping system
G Licitra, J Koenemann, G Horn, P Williams, R Ruiterkamp, M Diehl
2017 21st International Conference on Process Control (PC), 452-458, 2017
122017
Behavioural biometrics: Using smartphone keyboard activity as a proxy for rest–activity patterns
GB Druijff‐van de Woestijne, H McConchie, YAW de Kort, G Licitra, ...
Journal of Sleep Research 30 (5), e13285, 2021
112021
System identification of a rigid wing airborne wind energy system
G Licitra, A Bürger, P Williams, R Ruiterkamp, M Diehl
arXiv preprint arXiv:1711.10010, 2017
92017
Optimum experimental design of a rigid wing AWE pumping system
G Licitra, A Bürger, P Williams, R Ruiterkamp, M Diehl
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 4018-4025, 2017
82017
The Use of Smartphone keystroke dynamics to passively monitor upper limb and cognitive function in multiple sclerosis: Longitudinal analysis
KH Lam, J Twose, B Lissenberg-Witte, G Licitra, K Meijer, B Uitdehaag, ...
Journal of medical Internet research 24 (11), e37614, 2022
72022
awebox: Modelling and optimal control of single-and multiple-kite systems for airborne wind energy
R Leuthold, J De Schutter, E Malz, G Licitra, T Bronnenmeyer, S Gros, ...
32020
Disease severity classification using passively collected smartphone-based keystroke dynamics within multiple sclerosis
A Hoeijmakers, G Licitra, K Meijer, KH Lam, P Molenaar, E Strijbis, ...
Scientific reports 13 (1), 1871, 2023
22023
Smartphone keystroke dynamics are sensitive to changes in disease activity and clinical disability measures in multiple sclerosis
KH Lam, J Twose, H McConchie, G Licitra, B Moraal, F Barkhof, ...
MULTIPLE SCLEROSIS JOURNAL 26 (3_ SUPPL), 196-197, 2020
22020
Exploring a Bilingual Next Word Predictor for a Federated Learning Mobile Application
NA Burgos, K Kiš, P Bakarac, M Kvasnica, G Licitra
Authorea Preprints, 2023
12023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20