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Siphesihle SithunguUniversity of Johannesburg | uj · Academy of Computer Science and Software Engineering
Siphesihle Sithungu
Phd (Computer Science)
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15
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Publications (15)
Age estimation is one of the areas of interest in computer vision, which is evident from the increased amount of related research over the last few years. This is largely due to the exceptional levels of classification accuracy demonstrated by Convolutional Neural Networks (CNNs) in computer vision tasks. One of the main challenges faced when train...
Industrial Control Systems (ICS) comprise software, hardware, network systems, and people that manage and operate industrial processes. Supervisory Control and Data Acquisition Systems (SCADA) and Distributed Control Systems (DCS) are two of the most prevalent ICS. An ICS facilitates the effective and efficient management and operation of industria...
The emergence of the Industrial Internet of Things (IIoT) has improved the management of industrial operations and processes. IIoT involves collecting and processing data from a vast array of sensors deployed across industrial complexes. This enables the measurement of the efficiency of industrial processes, monitoring the health of machinery, opti...
The emergence of the Industrial Internet of Things (IIoT) can transform and improve industrial domain processes. This is achieved by IIoT’s ability to collect and process vast amounts of data using technology such as sensors. IIoT capabilities can improve the manufacturing processes of these sectors and contribute to the improved functioning of cri...
The growth and capabilities of cyberspace have brought about many advantages to societies. Individuals and businesses have used cyberspace for easier communication, but nation-states also utilise it to improve the functioning of their critical infrastructure. Critical infrastructures provide vital services such as the health, safety and security ne...
The expansion of the Internet of Things (IoT) in various industrial sectors (also referred to as the Industrial Internet of Things or IIoT) promises increased economic productivity and quality of life. However, the expansion of IIoT also presents unprecedented security concerns due to increased connectivity between appliances and the cloud. Among t...
This work presents AdaptiveSGA, a model for implementing Dynamic Difficulty Scaling through Adaptive Game AI via the Symbiotic Game Agent framework. The use of Dynamic Difficulty Balancing in modern computer games is useful when looking to improve the entertainment value of a game. Moreover, the Symbiotic Game Agent, as a framework, provides flexib...
The problem of determining people’s age is a recurring theme in areas such as law enforcement, education and sports because age is often used to determine eligibility. The aim of current work is to make use of a lightweight machine learning model for automating the task of detecting people’s age. This paper presents a solution that makes use of a l...