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Marzia Cescon
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2020 – today
- 2024
- [j8]Brandon Voelker, Pietro Milillo, Amin Tavakkoliestahbanati, Valentina Macchiarulo, Giorgia Giardina, Michael Recla, Michael Schmitt, Marzia Cescon, Yasemin D. Aktas, Emily So:
The EEFIT Remote Sensing Reconnaissance Mission for the February 2023 Turkey Earthquakes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 19160-19173 (2024) - [c13]Mariam Ismail Ali, Theodoros Tavoulareas, Zheng Chen, Marzia Cescon:
Project-Based Learning Using a Quadrotor Testbed. CCTA 2024: 452-457 - [c12]Yejin Wi, Marzia Cescon:
Design and implementation of an experiential learning intervention for a graduate course in system identification. CCTA 2024: 458-463 - [i6]Arturo de la Barcena, Collin Rhodes, John McCarroll, Marzia Cescon, Kerianne L. Hobbs:
Testing Spacecraft Formation Flying with Crazyflie Drones as Satellite Surrogates. CoRR abs/2402.14750 (2024) - [i5]Miguel F. Arevalo-Castiblanco, Yejin Wi, Marzia Cescon, Cesar A. Uribe:
An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks. CoRR abs/2407.00570 (2024) - 2023
- [j7]Deheng Cai, Wenjing Wu, Marzia Cescon, Wei Liu, Linong Ji, Dawei Shi:
Data-enabled learning and control algorithms for intelligent glucose management: The state of the art. Annu. Rev. Control. 56: 100897 (2023) - [c11]Mehrad Jaloli, Marzia Cescon:
Modeling Physical Activity Impact on Glucose Dynamics in People with Type 1 Diabetes for a Fully Automated Artificial Pancreas. CCTA 2023: 546-551 - [i4]Mehrad Jaloli, Marzia Cescon:
Modeling Physical Activity Impact on Glucose Dynamics in People with Type 1 Diabetes for a Fully Automated Artificial Pancreas. CoRR abs/2307.07923 (2023) - [i3]Mehrad Jaloli, Marzia Cescon:
Basal-Bolus Advisor for Type 1 Diabetes (T1D) Patients Using Multi-Agent Reinforcement Learning (RL) Methodology. CoRR abs/2307.08897 (2023) - [i2]Eleonora Maria Aiello, Mehrad Jaloli, Marzia Cescon:
Model Predictive Control (MPC) of an Artificial Pancreas with Data-Driven Learning of Multi-Step-Ahead Blood Glucose Predictors. CoRR abs/2307.12015 (2023) - 2022
- [j6]Theophilus Kaaya, Shengbin Wang, Marzia Cescon, Zheng Chen:
Physics-lumped parameter based control oriented model of dielectric tubular actuator. Int. J. Intell. Robotics Appl. 6(3): 397-413 (2022) - 2021
- [j5]Toshiki Tanaka, Heidar Malki, Marzia Cescon:
Linear Quadratic Tracking With Reinforcement Learning Based Reference Trajectory Optimization for the Lunar Hopper in Simulated Environment. IEEE Access 9: 162973-162983 (2021) - [j4]Marzia Cescon, Divya Choudhary, Jordan E. Pinsker, Vikash Dadlani, Mei Mei Church, Yogish C. Kudva, Francis J. Doyle III, Eyal Dassau:
Activity detection and classification from wristband accelerometer data collected on people with type 1 diabetes in free-living conditions. Comput. Biol. Medicine 135: 104633 (2021) - [j3]Marzia Cescon, Sunil Deshpande, Revital Nimri, Francis J. Doyle III, Eyal Dassau:
Using Iterative Learning for Insulin Dosage Optimization in Multiple-Daily-Injections Therapy for People With Type 1 Diabetes. IEEE Trans. Biomed. Eng. 68(2): 482-491 (2021) - [c10]Theophilus Kaaya, Shengbin Wang, Marzia Cescon, Zheng Chen:
A Physics-based and Control-oriented Model for Dielectric Elastomer Tubular Actuator. ACC 2021: 4472-4477 - [i1]Mehrad Jaloli, Divya Choudhary, Marzia Cescon:
Neurological Status Classification Using Convolutional Neural Network. CoRR abs/2104.02058 (2021)
2010 – 2019
- 2019
- [c9]Marzia Cescon, Sunil Deshpande, Francis J. Doyle, Eyal Dassau:
Iterative Learning Control with Sparse Measurements for Long-Acting Insulin Injections in People with Type 1 Diabetes. ACC 2019: 4746-4751 - 2017
- [c8]Marzia Cescon, Erik Weyer:
Control of irrigation channels affected by wind stress. CDC 2017: 3425-3430 - 2016
- [c7]Marzia Cescon, Erik Weyer:
Characterization of the wind impact on the Torrumbarry irrigation district and its implications for control. AuCC 2016: 294-298 - 2015
- [j2]Marzia Cescon, Rolf Johansson, Eric Renard:
Subspace-based linear multi-step predictors in type 1 diabetes mellitus. Biomed. Signal Process. Control. 22: 99-110 (2015) - 2014
- [j1]Marzia Cescon, Rolf Johansson, Eric Renard, Alberto Maran:
Identification of individualised empirical models of carbohydrate and insulin effects on T1DM blood glucose dynamics. Int. J. Control 87(7): 1438-1453 (2014) - 2013
- [c6]Marzia Cescon, Rolf Johansson, Eric Renard:
Individualized empirical models of carbohydrate and insulin effects on T1DM blood glucose dynamics. CCA 2013: 258-263 - [c5]Rolf Johansson, Marzia Cescon, Fredrik Ståhl:
Continuous-time model identification using non-uniformly sampled data. AFRICON 2013: 1-6 - [c4]Marzia Cescon, Rolf Johansson, Eric Renard:
Low-complexity MISO models of T1DM glucose metabolism. ASCC 2013: 1-6 - 2011
- [c3]Marzia Cescon, Eric Renard:
Adaptive subspace-based prediction of T1DM glycemia. CDC/ECC 2011: 5164-5169 - 2010
- [c2]Marzia Cescon, Rolf Johansson:
Multi-step-ahead multivariate predictors: A comparative analysis. CDC 2010: 2837-2842
2000 – 2009
- 2009
- [c1]Marzia Cescon, Rolf Johansson:
Glycemic trend prediction using empirical model identification. CDC 2009: 3501-3506
Coauthor Index
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