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NOTA: è possibile cercare una corrispondenza esatta usando i doppi apici, ad es: "evoluzione della specie". Qualora si cerchi un identificativo, è consigliabile cercarlo in due modi differenti: tra apici con caratteri speciali es: "978-94-6366-274" oppure senza caratteri speciali solo come sequenza numerica: es 978946366274.

Risultati 3941 - 3950 di 4311 (tempo di esecuzione: 0.02 secondi).

Retinal Prostheses/Neuron Coupling: Mathematical Modeling and Experiments

CHIARAVALLI, GRETA

Physics-enhanced machine learning methods for industrial process modeling and optimization

LEONESIO, MARCO

Model-aided data-driven approaches for sound field analysis and processing

Olivieri, Marco

Exposure to Radio Frequency Electromagnetic Fields generated by Intelligent Transport System Vehicular Communication technologies

Benini, Martina

Computational methods for data-driven predictions and understanding of biological interactions

CEDDIA, GAIA

Climate change and human systems: innovative adaptation services as a soft-resilience strategy to tackle emerging risks

Bernardini, Chiara

Development of vehicle dynamics control algorithms for high-performance sport and race vehicles

SENOFIENI, RODRIGO

Numerical and experimental investigation on inceptor design for rotorcraft collective bounce mitigation

TALAMO, CARMEN

Thermodynamic modelling and process design of a CO2 capture unit with amino acid salts solutions for combined cycle decarbonisation

Conversano, Antonio

On how to facilitate hardware acceleration of machine learning for non-experts in hardware design over the Edge, the Fog, and the Cloud

Damiani, Andrea

Data	Tipo	Titolo	Autore (i)
2023-03-31	Tesi di Dottorato	Retinal Prostheses/Neuron Coupling: Mathematical Modeling and Experiments	CHIARAVALLI, GRETA
2025-05-05	Tesi di Dottorato	Physics-enhanced machine learning methods for industrial process modeling and optimization	LEONESIO, MARCO
2024-05-10	Tesi di Dottorato	Model-aided data-driven approaches for sound field analysis and processing	Olivieri, Marco
2024-07-05	Tesi di Dottorato	Exposure to Radio Frequency Electromagnetic Fields generated by Intelligent Transport System Vehicular Communication technologies	Benini, Martina
2021-01-18	Tesi di Dottorato	Computational methods for data-driven predictions and understanding of biological interactions	CEDDIA, GAIA
2022-12-01	Tesi di Dottorato	Climate change and human systems: innovative adaptation services as a soft-resilience strategy to tackle emerging risks	Bernardini, Chiara
2025-02-26	Tesi di Dottorato	Development of vehicle dynamics control algorithms for high-performance sport and race vehicles	SENOFIENI, RODRIGO
2025-05-15	Tesi di Dottorato	Numerical and experimental investigation on inceptor design for rotorcraft collective bounce mitigation	TALAMO, CARMEN
2021-07-19	Tesi di Dottorato	Thermodynamic modelling and process design of a CO2 capture unit with amino acid salts solutions for combined cycle decarbonisation	Conversano, Antonio
2023-01-27	Tesi di Dottorato	On how to facilitate hardware acceleration of machine learning for non-experts in hardware design over the Edge, the Fog, and the Cloud	Damiani, Andrea

Risultati 3941 - 3950 di 4311 (tempo di esecuzione: 0.02 secondi).

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Retinal Prostheses/Neuron Coupling: Mathematical Modeling and Experiments

Physics-enhanced machine learning methods for industrial process modeling and optimization

Model-aided data-driven approaches for sound field analysis and processing

Exposure to Radio Frequency Electromagnetic Fields generated by Intelligent Transport System Vehicular Communication technologies

Computational methods for data-driven predictions and understanding of biological interactions

Climate change and human systems: innovative adaptation services as a soft-resilience strategy to tackle emerging risks

Development of vehicle dynamics control algorithms for high-performance sport and race vehicles

Numerical and experimental investigation on inceptor design for rotorcraft collective bounce mitigation

Thermodynamic modelling and process design of a CO2 capture unit with amino acid salts solutions for combined cycle decarbonisation

On how to facilitate hardware acceleration of machine learning for non-experts in hardware design over the Edge, the Fog, and the Cloud

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