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Felix Ale's Publications

Managing the Engineering Profession in the Digital Developing World and Exploring the Value Chain

In today’s rapidly evolving digital landscape, the engineering profession is undergoing transformative changes, especially in developing economies. This study explores the challenges and opportunities presented by the integration of digital technologies in the engineering profession within the developing world. It highlights the transformative impact of digital tools, like simulation software and IoT sensors, on engineering processes, fostering innovation and collaboration.

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March 4, 2026

Investigation of the Mechanical and Thermal Properties of Carbon Fiber Impregnated with Groundnut Shell Bio-composite

The growing demand for sustainable materials has prompted significant interest in bio-composites that blend natural and synthetic components. This study investigates the mechanical and thermal properties of hybrid composites made from carbon fiber and groundnut shell, an agricultural by-product. Five composite samples with varying ratios of carbon fiber (CBF) and groundnut shell (GNS) were prepared using epoxy resin as the

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March 4, 2026

Towards the Implementation of Total Quality Management Tools in the Mobile Network Operations Centre: A System Thinking Approach

The telecommunication industry (telecom) is one of the most dynamic, and fast-paced industry that employs cutting edge technologies to transmit. This study evaluates some important total quality management (TQM) tools that can be employed in the telecom to promote effective operations in network surveillance and fault management processes for a 5G transmission network. A systematic literature review was conducted using

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March 4, 2026

Development of a Maintenance Framework for Addressing Power Outage in South Africa

In recent times, South Africa has been experiencing power outages, which has significant effect on businesses and economic wellbeing of the nation. To address this challenge, this study develops a maintenance framework that power generating industries in South Africa can implement. Primary data was collected from company X that is a major subsidiary of the power generating industry in South

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October 4, 2025

Cutting force and surface roughness prediction of Al 6065T6 during turning operation using response surface methodology, machine learning, and simulation‑based approach

The dynamics of cutting operation necessitate the use of a reliable predictive model for accurate prediction of machining parameters, namely, cutting force (CF) and surface roughness (SR). This study predicts the cutting force and surface roughness of Al 6065 T6 during turning operation using a combined approach, namely, surface response methodology (RSM), machine learning (ML), and computer-aided simulation-based approach. The

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September 22, 2025

Development of a total quality management framework for the mobilenetwork operations centre

Abstract: Telecommunication is one of the most fast-paced and rapidly changing sectors globally. This study develops a total quality management (TQM) framework for mobile network operation centres (NOC) to aid in network surveillance and fault management processes for a 5G transmission network. A systematic literature review was conducted using academic articles in journals and conference papers sourced from the EBSCO

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September 10, 2025

SpillNet: A modified convolutional neural network model for oil spill detection

Abstract : Rapid and accurate detection of oil spills is crucial for initiating timely response measures to mitigate environmental impacts. This study proposes an oil spill detection method based on a modified convolutional neural network, termed “SpillNet.” The architecture integrates multiple depthwise separable convolutional layers, batch normalization, and residual connections to enhance feature extraction and learning capabilities. The dataset consists

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September 10, 2025

Investigating temperature variation of Al 6065 T6 during milling operation for aerospace applications using response surface methodology and support vector regression

Aluminium alloy finds increasing industrial applications due to its desirable properties. However, its low thermal conductivity often limits its application at elevated temperatures, thus the need to investigate the temperature variation during milling operation for aerospace applications. The response surface methodology (RSM) carried out in the Design-Expert 2022 software environment was used to investigate the temperature variation of Al 6065

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September 10, 2025
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