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  • On the use of physics in machine learning for manufacturing process inspection 

    Barbastathis, George; Zhang, Qihang; Pandit, Ajinkya; Tang, Wenlong; Papageorgiou, Charles; e.a. (SPIE, 2023-08-11)
    We discuss the use of machine learning in computational imaging for manufacturing process inspection and control. In a recent article we described a physics-enhanced auto-correlation based estimator (Peace) for quantitative ...
  • A Direct Optimization Algorithm for Input-Constrained MPC 

    Wu, Liang; Braatz, Richard D (Institute of Electrical and Electronics Engineers, 2024)
    Providing an execution time certificate is a pressing requirement when deploying Model Predictive Control (MPC) in real-time embedded systems such as microcontrollers. Real-time MPC requires that its worst-case (maximum) ...
  • Probing the nature of the χc1(3872) state using radiative decays 

    Aaij, R.; Abdelmotteleb, A. S. W.; Abellan Beteta, C.; Abudinén, F.; Ackernley, T.; e.a. (Springer Berlin Heidelberg, 2024-11-21)
    The radiative decays χc1(3872) → ψ(2S) γ and χc1(3872) → J/ψγ are used to probe the nature of the χc1(3872) state using proton-proton collision data collected with the LHCb detector, corresponding to an integrated luminosity ...

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