133 citations
- T. Marwala8 · h 43
- C. Keppel2 profiles4 · h 48
- F. Nelwamondo4 · h 21
- P. Bosted2 profiles4 · h 20
- David L. Block3
- D. Dutta2 profiles3 · h 39
- D. Gaskell2 profiles3 · h 39
- H. Mkrtchyan2 profiles3 · h 34
- J. Arrington2 profiles3 · h 47
- J. Dunne2 profiles3 · h 28
- J. Roche2 profiles3 · h 39
- N. Kalantarians2 profiles3 · h 31
- National Institute for Theoretical PhysicsZA4 papers
- A. Alikhanyan National LaboratoryAM3 papers
- Argonne National LaboratoryUS3 papers
- Hampton UniversityUS3 papers
- Mississippi State UniversityUS3 papers
- National Institute of Astrophysics, Optics and ElectronicsMX3 papers
- Stellenbosch UniversityZA3 papers
- Thomas Jefferson National Accelerator FacilityUS3 papers
- University of HoustonUS3 papers
- University of JohannesburgZA3 papers
- University of Maryland, College ParkUS3 papers
- University of VirginiaUS3 papers
5 papers · 1 filter
Autoencoder, Principal Component Analysis and Support Vector Regression for Data Imputation
Vukosi N. Marivate, Fulufhelo V. Nelwamodo, Tshilidzi Marwala
Data collection often results in records that have missing values or variables. This investigation compares 3 different data imputation models and identifies their merits by using…
Fuzzy and Multilayer Perceptron for Evaluation of HV Bushings
Sizwe M. Dhlamini, Tshilidzi Marwala, Thokozani Majozi
The work proposes the application of fuzzy set theory (FST) to diagnose the condition of high voltage bushings. The diagnosis uses dissolved gas analysis (DGA) data from bushings b…
Artificial Intelligence for Conflict Management
E. Habtemariam, T. Marwala, M. Lagazio
Militarised conflict is one of the risks that have a significant impact on society. Militarised Interstate Dispute (MID) is defined as an outcome of interstate interactions, which…
Fuzzy Artmap and Neural Network Approach to Online Processing of Inputs with Missing Values
F. V. Nelwamondo, T. Marwala
An ensemble based approach for dealing with missing data, without predicting or imputing the missing values is proposed. This technique is suitable for online operations of neural…
Artificial Neural Networks and Support Vector Machines for Water Demand Time Series Forecasting
Ishmael S. Msiza, Fulufhelo V. Nelwamondo, Tshilidzi Marwala
Water plays a pivotal role in many physical processes, and most importantly in sustaining human life, animal life and plant life. Water supply entities therefore have the responsib…