Canonical variate dissimilarity analysis for process incipient fault detection KES Pilario, Y Cao IEEE Transactions on Industrial Informatics 14 (12), 5308-5315, 2018 | 201 | 2018 |
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 | 105 | 2019 |
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 | 90 | 2019 |
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 | 62 | 2019 |
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 | 48 | 2020 |
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 | 36 | 2023 |
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 | 25 | 2020 |
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 | 20 | 2019 |
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 | 14 | 2019 |
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 | 11 | 2023 |
Feedback-controlled CSTR process for fault simulation KE Pilario | 9 | 2021 |
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 | 8 | 2022 |
Process Incipient Fault Detection using Canonical Variate Analysis KE Pilario, Y Cao 23rd International Conference on Automation and Computing, 2017 | 8 | 2017 |
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 | 7 | 2022 |
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 | 6 | 2022 |
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 | 4 | 2022 |
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 | 4 | 2019 |
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 | 3 | 2024 |
Spatio-temporal solar–wind complementarity assessment in the Province of Kalinga-Apayao, Philippines using canonical correlation analysis KES Pilario, JA Ibañez, XN Penisa, JB Obra, CMF Odulio, JD Ocon Sustainability 14 (6), 3253, 2022 | 3 | 2022 |
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 | 2 | 2024 |