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Karl Ezra S. Pilario
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Year
Canonical variate dissimilarity analysis for process incipient fault detection
KES Pilario, Y Cao
IEEE Transactions on Industrial Informatics 14 (12), 5308-5315, 2018
2082018
A review of kernel methods for feature extraction in nonlinear process monitoring
KE Pilario, M Shafiee, Y Cao, L Lao, SH Yang
Processes 8 (1), 24, 2019
1142019
Mixed kernel canonical variate dissimilarity analysis for incipient fault monitoring in nonlinear dynamic processes
KES Pilario, Y Cao, M Shafiee
Computers & Chemical Engineering 123, 143-154, 2019
922019
Identification of gas-liquid flow regimes using a non-intrusive Doppler ultrasonic sensor and virtual flow regime maps
SG Nnabuife, KES Pilario, L Lao, Y Cao, M Shafiee
Flow Measurement and Instrumentation 68, 101568, 2019
612019
Structural reliability assessment of offshore wind turbine support structures subjected to pitting corrosion‐fatigue: A damage tolerance modelling approach
AA Shittu, A Mehmanparast, M Shafiee, A Kolios, P Hart, K Pilario
Wind Energy 23 (11), 2004-2026, 2020
522020
Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater
SK Bhagat, KE Pilario, OE Babalola, T Tiyasha, M Yaqub, CE Onu, ...
Journal of Cleaner Production 385, 135522, 2023
412023
A kernel design approach to improve kernel subspace identification
KES Pilario, Y Cao, M Shafiee
IEEE Transactions on Industrial Electronics 68 (7), 6171-6180, 2020
272020
Development of a Real-Time Objective Gas-Liquid Flow Regime Identifier Using Kernel Methods
EN Eyo, KES Pilario, L Lao, G Falcone
IEEE Transactions on Cybernetics, 2019
202019
Incipient Fault Detection, Diagnosis, and Prognosis using Canonical Variate Dissimilarity Analysis
KES Pilario, Y Cao, M Shafiee
Computer Aided Chemical Engineering 46, 1195-1200, 2019
142019
Explainable artificial intelligence for fault diagnosis of industrial processes
K Jang, KES Pilario, N Lee, I Moon, J Na
IEEE Transactions on Industrial Informatics, 2023
132023
Geographical discrimination of propolis using dynamic time warping kernel principal components analysis
KE Pilario, A Tielemans, ERE Mojica
Expert Systems with Applications 187, 115938, 2022
92022
Feedback-controlled CSTR process for fault simulation
KE Pilario
92021
Machine learning based flow regime identification using ultrasonic Doppler data and feature relevance determination
R Roxas II, MA Evangelista, JA Sombillo, SG Nnabuife, KE Pilario
Digital Chemical Engineering 3, 100024, 2022
82022
Process Incipient Fault Detection using Canonical Variate Analysis
KE Pilario, Y Cao
23rd International Conference on Automation and Computing, 2017
82017
Predicting drying curves in algal biorefineries using Gaussian process autoregressive models
KES Pilario, PML Ching, AMA Calapatia, AB Culaba
Digital Chemical Engineering 4, 100036, 2022
72022
Flow regime classification using various dimensionality reduction methods and AutoML
U Khan, W Pao, KE Pilario, N Sallih
Engineering Analysis with Boundary Elements 163, 161-174, 2024
42024
Geographical and entomological differentiation of Philippine honey by multivariate analysis of FTIR spectra
JR Grabato, KE Pilario, JRL Micor, ERE Mojica
Journal of Food Composition and Analysis 114, 104853, 2022
42022
Reconstruction based fault prognosis in dynamic processes using canonical variate analysis
KES Pilario, Y Cao, M Shafiee, L Lao
2019 25th International Conference on Automation and Computing (ICAC), 1-6, 2019
42019
O-and OH-induced dopant segregation in single atom alloy surfaces: A combined density functional theory and machine learning study
ANP Hipolito, MA Palmero, VZ Ordillo, K Shimizu, DB Putungan, ...
Computational Materials Science 232, 112607, 2024
32024
Two-phase flow regime identification using multi-method feature extraction and explainable kernel Fisher discriminant analysis
U Khan, W Pao, KES Pilario, N Sallih, MR Khan
International Journal of Numerical Methods for Heat & Fluid Flow, 2023
32023
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