POZZI, ANDREA

POZZI, ANDREA  

DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE  

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Risultati 1 - 20 di 31 (tempo di esecuzione: 0.017 secondi).
Titolo Data di pubblicazione Autore(i) File
A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states 1-gen-2023 Pozzi, A.; Moura, S.; Toti, D.
A differentiable and uncertainty-aware mutual information regularizer for bias mitigation 1-gen-2026 Incremona, Alessandro; Pozzi, Andrea; Guiscardi, Alessandro; Tessera, Daniele
A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics 1-gen-2022 Pozzi, A.; Moura, S.; Toti, D.
Assessing the Performance of Model-Based Energy Saving Charging Strategies in Li-Ion Cells 1-gen-2018 Pozzi, Andrea; Torchio, Marcello; Raimondo, Davide M.
Balancing-aware charging strategy for series-connected lithium-ion cells: A nonlinear model predictive control approach 1-gen-2020 Pozzi, A.; Zambelli, M.; Ferrara, A.; Raimondo, D. M.
Battery ageing-aware stochastic management of power networks in islanded mode 1-gen-2018 Mosca, Alessio; Pozzi, Andrea; Raimondo, Davide M.
Battery testing ontology: An EMMO-based semantic framework for representing knowledge in battery testing and battery quality control 1-gen-2025 Del Nostro, P.; Goldbeck, G.; Kienberger, F.; Moertelmaier, M.; Pozzi, A.; Al-Zubaidi-R-Smith, N.; Toti, D.
Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning 1-gen-2025 Barbierato, E.; Gatti, A.; Incremona, A.; Pozzi, A.; Toti, D.
Comparing UX Profile of Generative Artificial Intelligence Tools and Traditional Tools in Brainstorming Sessions: A Pilot Study 1-gen-2024 Gerardini, K.; Sarcinella, E. D.; Borghesi, F.; Pozzi, A.; Gaggioli, A.; Chirico, A.
Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News 1-gen-2023 Pozzi, A.; Barbierato, E.; Toti, D.
Deep Learning-Based Predictive Control for Optimal Battery Management in Microgrids 1-gen-2024 Matrone, S.; Pozzi, A.; Ogliari, E.; Leva, S.
Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics 1-gen-2022 Pozzi, A.; Moura, S.; Toti, D.
Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging 1-gen-2024 Espin, J.; Zhang, D.; Toti, D.; Pozzi, A.
Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach 1-gen-2020 Pozzi, A.; Bae, S.; Choi, Y.; Borrelli, F.; Raimondo, D. M.; Moura, S.
Film growth minimization in a Li-ion cell: A Pseudo Two Dimensional model-based optimal charging approach 1-gen-2018 Pozzi, Andrea; Torchio, Marcello; Raimondo, Davide M.
Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach 1-gen-2023 Pozzi, A.; Toti, D.
Imitation learning-driven approximation of stochastic control models 1-gen-2025 Pozzi, A.; Incremona, A.; Toti, D.
Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries 1-gen-2022 Pozzi, A.; Toti, D.
Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem 1-gen-2023 Del Nostro, P.; Goldbeck, G.; Pozzi, A.; Toti, D.
Natural Language Understanding for the Recommendation of Learning Resources Within Student Collaboration Tools 1-gen-2023 Capuano, N.; Lomasto, L.; Pozzi, A.; Toti, D.