31 Aug 2026Open access
A Methodological Framework for Intrinsic Explainability in Portfolio Allocation: Constraint-Aware Portfolio Reasoning NetworkPublisher siteInternational Journal of Financial Studies, Risk and Portfolio Optimization
Active, last published 2026
In water quality monitoring technologies
Thulane
Paepae
Scholar“Research focused on Water Quality Monitoring Technologies and adjacent fields.”
University of Johannesburg
South Africa6
H-index
178
Citations
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01 · About the work
What I study
hulane Paepae is a researcher working on Water Quality Monitoring Technologies. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Thulane's work has been cited 178 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Water Quality Monitoring Technologies×6Hydrological Forecasting Using AI×4Maritime Ports and Logistics×3Maritime Transport Emissions and Efficiency×3Water Quality Monitoring and Analysis×3
04 · Where I am
Affiliations
Affiliation on published researchUniversity of Johannesburg, South AfricaDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
8 works6 Aug 2026Open access
Explainable ensemble machine learning for WWTPs: A systematic review and compliance frameworkPublisher siteResults in Engineering, Membrane Separation Technologies
18 Jul 2026Open access
Conformal prediction-based sequential scheduling for container terminal operations under uncertaintyPublisher siteOperations Research Perspectives, Maritime Ports and Logistics
18 Jun 2026Open access
An Explainability-Driven SHAP-Weighted Ensemble Framework for Fraud Detection: Insights into Model Contribution DynamicsPublisher siteInformation, Imbalanced Data Classification Techniques
18 Jun 2026Open access
Consolidating Access to Candidate Data for Recruitment Headhunting: Leveraging Explainable Machine LearningPublisher siteInformatics, Employer Branding and e-HRM
28 May 2026Open access
Heterogeneous stacking ensembles with SHAP-derived diversity weighting for high-frequency virtual sensing of riverine nutrients across contrasting catchmentsPublisher siteJournal of Water Process Engineering, Soil and Water Nutrient Dynamics
20 May 2026Open access
Advancing SDG 6.3.2: Ambient water quality monitoring using ensemble-based virtual sensing, a feature-constrained, diversity-driven, and transferability analysis of nutrient predictionPublisher siteResults in Engineering, Water Quality Monitoring Technologies
17 Jan 2023Open access11cites
Data Augmentation for a Virtual-Sensor-Based Nitrogen and Phosphorus MonitoringPublisher siteSensors, Hydrological Forecasting Using AI
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