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The main objective of the study was to conduct a long-term stability analysis of the slope, which due to blasting and continuous mining activity may deteriorate in its strength and since there is very little slope stability ...
Machine learning (ML) in healthcare is crucial for establishing and enhancing performant automated disease detection systems that can be used in medical practice. This dissertation aims to improve ML classifiers for disease ...
With the growing demand for energy storage and conversion technologies, porous
carbon-based materials (PCMs) have garnered widespread attention due to their
excellent electrical conductivity, high surface area (SSA), and ...
This thesis aims at understanding and formalising human capabilities in enterprise architecture (EA). It begins by justifying why it is important for EA research and practice to consider human capabilities, and then proceeds ...
Machine Learning (ML) or Artificial Intelligence (AI) approaches in a distribution protection system are proposed to detect and categorize distribution network (DN) issues with Distribution Generation. This study highlights ...
Munilal, Joel Jeremy ; Ndou, Ndivhuwo; Ramdass, Kemlall(Southern African Institute for Industrial Engineering (SAIIE), 2022-10-03)
Bottlenecks in a manufacturing line are the fundamental reason that obstructs productivity.Accurately and effectively recognizing bottleneck areas, can improve the use of limitedassembling resources, increment the framework ...
Mncwango, Bongumenzi Talent; Ramdass, Kemlall; Ndou, Ndivhuwo(33rd ANNUAL SOUTHERN AFRICAN INSTITUTE FOR INDUSTRIAL ENGINEERING CONFERENCE, 2022-10-03)
Lean management has been traditionally used in the manufacturing world but recently there has been a move to apply lean manufacturing principles in the supply chain management. There is an ever-growing pressure for ...
Ramdass, Kemlall; Phuluwa, Humbulani Simon; Ndou, Ndivhuwo(IEOM Society International, 2024-04-23)
The railroad sector, a crucial part of contemporary transportation systems, is required to meet rising demands for effectiveness, economy, and sustainability. This study investigates how to apply lean principles to improve ...
The objective of the thesis was two-fold: to investigate the potential of implicit modelling techniques for modelling geometallurgical parameters in mine planning and to generate synthetic geometallurgical data using ...
The purpose of this study was to analyse the amount of municipal solid waste disposed at various landfill sites in the east of Johannesburg. As a resident residing in the east of Johannesburg, it was of interest to me to ...
Normally, non-biodegradable solid waste material produced in South Africa is disposed off through landfilling, intriguingly, the country has limited landfill space and a high demand for affordable solid waste material for ...
Natural organic matter (NOM) removal is one of the challenges encountered by water treatment utilities in water treatment. NOM is found naturally in all surface waters and consists of compounds with complex structures ...
In this article a series of constrictions in the micron and sub-micron range
fabricated with the femtosecond laser on superconducting YBa2Cu3O7 thin
films is scanned with an atomic force microscope (AFM). The AFM images ...