Search Results - "Picerno, Mario"
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Real-Time Emission Prediction with Detailed Chemistry under Transient Conditions for Hardware-in-the-Loop Simulations
Published in Energies (Basel) (01-01-2022)“…The increasing requirements to further reduce pollutant emissions, particularly with regard to the upcoming Euro 7 (EU7) legislation, cause further technical…”
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Automated function development for emission control with deep reinforcement learning
Published in Engineering applications of artificial intelligence (01-01-2023)“…The conventional automotive development process for embedded systems today is still time- and data-inefficient, and requires highly experienced software…”
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LExCI: A framework for reinforcement learning with embedded systems
Published in Applied intelligence (Dordrecht, Netherlands) (01-09-2024)“…Advances in artificial intelligence (AI) have led to its application in many areas of everyday life. In the context of control engineering, reinforcement…”
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Lean Approach for Virtual Calibration Using Hardware-in-the-Loop and Electronic Control Unit (ECU)-Capable Engine Simulation
Published in SAE International journal of engines (01-01-2021)“…The article presents the development of a lean approach for virtual electronic control unit (ECU) calibration. In this calibration method, virtual models are…”
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Lean Approach for Virtual C alibration Using Hardware-in-the-Loop and Electronic Control Unit -Capable Engine Simulation
Published in SAE International journal of engines (01-08-2021)“…The article presents the development of a lean approach for virtual electronic control unit (ECU) calibration. In this calibration method, virtual models are…”
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6
Assessment of the Influence of GDI Injection System Parameters on Soot Emission and Combustion Stability through a Numerical and Experimental Approach
Published in SAE International journal of engines (06-09-2015)“…The next steps of the current European and US legislation, EURO 6c and LEV III, and the incoming new test cycles will impose more severe restrictions on…”
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Transfer of Reinforcement Learning-Based Controllers from Model- to Hardware-in-the-Loop
Published 25-10-2023“…The process of developing control functions for embedded systems is resource-, time-, and data-intensive, often resulting in sub-optimal cost and solutions…”
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LExCI: A Framework for Reinforcement Learning with Embedded Systems
Published 27-06-2024“…Applied Intelligence (2024) Advances in artificial intelligence (AI) have led to its application in many areas of everyday life. In the context of control…”
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