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Mostrati risultati da 1 a 8 di 8
A new Global Trigger for the CMS Experiment at the HL-LHC: Neural Network algorithms and Hardware Implementation
2021/2022 BORTOLATO, GABRIELE
Accelerating Online Selection Algorithms for Level-1 Trigger Scouting in the CMS Phase-2 Upgrade
2024/2025 ZAGO, GIOVANNI
Artificial Spill Generator at COMPASS
2022/2023 BORELLA, LORENZO
Beam Control with Fast Reinforcement Learning Inference at the Edge
2023/2024 SAPKAS, MICHAIL
Exploring the use of the AI engines present in the last generation of Versal adaptive SoCs for implementing Tree Tensor Network for ultra-low latency applications
2024/2025 MAJIDI, PARSA
Field measurements to study the effect of the common mode current noise in the cabling for phase 2 upgrade of CMS Drift Tubes
2023/2024 NOROUZIMEHMANDOUSTOLIA, ELHAM
Firmware development for the CMS DAQ readout cards
2024/2025 SARTE, EMANUELE
High Level Synthesis (HLS) based Hardware Implementation of Tree Tensor Networks (TTN)
2024/2025 GUPTA, PRATEEK
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Lauree magistrali | 2021 | A new Global Trigger for the CMS Experiment at the HL-LHC: Neural Network algorithms and Hardware Implementation | A new Global Trigger for the CMS Experiment at the HL-LHC: Neural Network algorithms and Hardware Implementation | BORTOLATO, GABRIELE | |
| Lauree magistrali | 2024 | Accelerating Online Selection Algorithms for Level-1 Trigger Scouting in the CMS Phase-2 Upgrade | Accelerating Online Selection Algorithms for Level-1 Trigger Scouting in the CMS Phase-2 Upgrade | ZAGO, GIOVANNI | |
| Lauree magistrali | 2022 | Artificial Spill Generator at COMPASS | Artificial Spill Generator at COMPASS | BORELLA, LORENZO | |
| Lauree magistrali | 2023 | Beam Control with Fast Reinforcement Learning Inference at the Edge | Beam Control with Fast Reinforcement Learning Inference at the Edge | SAPKAS, MICHAIL | |
| Lauree magistrali | 2024 | Exploring the use of the AI engines present in the last generation of Versal adaptive SoCs for implementing Tree Tensor Network for ultra-low latency applications | Exploring the use of the AI engines present in the last generation of Versal adaptive SoCs for implementing Tree Tensor Network for ultra-low latency applications | MAJIDI, PARSA | |
| Lauree magistrali | 2023 | Field measurements to study the effect of the common mode current noise in the cabling for phase 2 upgrade of CMS Drift Tubes | Field measurements to study the effect of the common mode current noise in the cabling for phase 2 upgrade of CMS Drift Tubes | NOROUZIMEHMANDOUSTOLIA, ELHAM | |
| Lauree magistrali | 2024 | Firmware development for the CMS DAQ readout cards | Firmware development for the CMS DAQ readout cards | SARTE, EMANUELE | |
| Lauree magistrali | 2024 | High Level Synthesis (HLS) based Hardware Implementation of Tree Tensor Networks (TTN) | High Level Synthesis (HLS) based Hardware Implementation of Tree Tensor Networks (TTN) | GUPTA, PRATEEK |
Mostrati risultati da 1 a 8 di 8
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