‪Thulane Paepae‬ - ‪Google Scholar‬

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	Wszystkie	Od 2020
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Thulane Paepae

Thulane Paepae

University of Johannesburg

Zweryfikowany adres z uj.ac.za - Strona główna

Machine Learning Operations Explainable AI Virtual Sensing Water Quality Monitoring


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
From fully physical to virtual sensing for water quality assessment: A comprehensive review of the relevant state-of-the-art T Paepae, PN Bokoro, K Kyamakya Sensors 21 (21), 6971, 2021	73	2021
A virtual sensing concept for Nitrogen and Phosphorus monitoring using machine learning techniques T Paepae, PN Bokoro, K Kyamakya Sensors 22 (19), 7338, 2022	12	2022
Data augmentation for a virtual-sensor-based nitrogen and phosphorus monitoring T Paepae, PN Bokoro, K Kyamakya Sensors 23 (3), 1061, 2023	6	2023
Development of a machine learning-based virtual sensing concept for water quality monitoring T Paepae PQDT-Global, 2023	3	2023
Thermodynamic Attainable Region for Direct Synthesis of Dimethyl Ether from Synthesis Gas T Paepae, T Seodigeng Int. J. Chem. Mol. Eng 10 (6), 784-790, 2016	2	2016
Attainable regions for optimal reaction Networks: application of Δh-Δg plot to direct synthesis of dimethyl ether from syngas T Paepae PQDT-Global, 2015	1	2015
Performance evaluation of selected machine learning techniques in the detection of non-technical losses in the distribution system N Teffo, P Bokoro, L Muremi, T Paepae 2024 32nd Southern African Universities Power Engineering Conference (SAUPEC …, 2024		2024

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