Bilaketaren emaitzak - Pilario, Karl Ezra

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  1. 1

    Nonlinear dynamic data reconciliation and bias estimation of process measurements in an adiabatic stirred-tank reactor nork Pilario, Karl Ezra S.

    Argitaratua izan da Philippine Engineering Journal
    Also available online for University of the Philippines Diliman. Click here
    Artikulua


    Azala
  2. 2

    Synthesis and characterization of micro-encapsulated n-octadecade in urea-melamine-formaldehyde shell for thermal regulation nork Pilario, Karl Ezra S.

    Argitaratua izan da Philippine Engineering Journal
    Also available online for University of the Philippines Diliman. Click here
    Artikulua


    Azala
  3. 3

    Nonlinear data reconciliation with gross error detection and identification for steady-state and dynamic processes nork Pilario, Karl Ezra S.

    Argitaratua 2015
    Abstract
    Tesis


    Azala
  4. 4

    Nonlinear dynamic data reconciliation and bias estimation of process measurements in an adiabatic stirred-tank reactor nork Pilario, Karl Ezra

    Argitaratua izan da Philippine Engineering Journal (2016)
    Artikulua


    Azala
  5. 5

    Synthesis and characterization of microencapsulated n-octadecane in urea-melamineformaldehyde shell for thermal regulation nork Pilario, Karl Ezra

    Argitaratua izan da Philippine Engineering Journal (2012)
    Artikulua


    Azala
  6. 6

    Mapping and assessment of the spatio-temporal solar and wind complementarity in the Philippines using sparse non-negative canonical correlation analysis (SNCCA) nork Obra, Johndel B.

    Argitaratua 2023
    Abstract
    Tesis


    Azala
  7. 7

    Machine learning based automatic real-time identification of two-phase flow regimes using ultrasonic doppler sensor data nork Roxas, Ricardo II M.

    Argitaratua 2022
    Abstract
    Tesis


    Azala
  8. 8

    Multi-kernel canonical variate analysis with optimal kernel designs for nonlinear system identification nork Madayag, Jan Vincent M.

    Argitaratua 2022
    Abstract
    Tesis


    Azala
  9. 9

    Feature selection-driven supervised machine learning for dissolved oxygen prediction using multi-domain environmental parameters in a major fishing lake nork Romano, AI R.

    Argitaratua 2025
    Abstract
    Tesis


    Azala

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