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Professional Digital Well-Being: An In Situ Investigation into the Impact of Using Screen Time Regulation at Work
The smartphone has not only become our everyday companion but increasingly also led to concerns about digital well-being. Screen time regulation...
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The Impact of Virtual Shop** Presentation Modes on Consumer Satisfaction and Purchase Intention
Amidst the swift evolution of technology, notably the ascendancy of virtual reality (VR) and augmented reality (AR), consumers’ shop** paradigms...
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Evaluating the Usability of Online Tools During Participatory Enterprise Modelling, Using the Business Model Canvas
Participatory enterprise modelling (PEM) is focused on actively involving enterprise stakeholders and modelling experts in the modelling process....
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Factors Affecting User Participation in the Design of Governmental Digital Services in South Africa
User participation in the design of governmental digital services remain a latent policy stance in South Africa despite its benefits to address...
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Educators’ Cybersecurity Vulnerabilities in Marginalised Schools in South Africa
Schools are experiencing an increased adoption and use of technology in curriculum delivery, administrative tasks, and community engagement. This was...
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Is Transformer-Based Attention Agnostic of the Pretraining Language and Task?
Since the introduction of the Transformer by Vaswani et al. in 2017, the attention mechanism has been used in multiple state-of-the-art large...
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Investigating Markov Model Accuracy in Representing Student Programming Behaviours
Problem-solving skills are an integral component within the computer science field. Due to the diversity brought about by students following...
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Gender Perceptions of Software Developers’ Job Satisfaction
In a competitive market, Information Technology (IT) organisations must retain their most valuable assets, namely the IT employees, specifically...
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Empirical Evaluation of Variational Autoencoders and Denoising Diffusion Models for Data Augmentation in Bioacoustics Classification
One major challenge in supervised deep learning is the need for large training datasets to achieve satisfactory generalisation performance. Acquiring...
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Iterative Approximation of Nash Equilibrium Strategies for Multi-agent Systems
We present a technique for approximating Nash equilibrium strategies for multi-agents systems for resource allocation (MRAs). Agents in MRAs seek to...
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Understanding Limited Enterprise Systems Benefits in Government: An African Case
Enterprise systems (ES) are increasingly being used in government. Yet the benefits being realized are lower than anticipated and rarely match the...
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Single Matrix Block Shift (SMBS) Dense Matrix Multiplication Algorithm
Many scientific and numeric computations rely on matrix-matrix multiplication as a fundamental component of their algorithms. It constitutes the...
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Fuzzing-Based Differential Testing for Quantum Simulators
Quantum programs are hard to develop and test due to their probabilistic nature and the restricted availability of quantum computers. Quantum...
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A Comparison of Text Representation Techniques and Encoder-Decoder Implementations in a Deep Neural Network for Converting Natural Language into Formal Logic Formulas
Semantic parsing is the task of extracting a structured machine-interpretable representation from natural language utterance. This representation can...
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In Silico Application of the Epsilon-Greedy Algorithm for Frequency Optimization of Electrical Neurostimulation for Hypersynchronous Disorders
One of the most promising alternatives to suppress epileptic seizures in drug-resistant and neurosurgery-refractory patients is using...
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Evaluation of Wnt/ \(\upbeta \) -Catenin Pathway Modulation on CA3-CA1 Synaptic Plasticity Model: An Aproximation to Alzheimer Disease
Introduction: The Wnt/ \(\upbeta \) -Catenin...
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Recent Advancements of Public Edge Platforms
Public edge platforms have drawn increasing attention from both academia and industry. This chapter performs the first measurement study on the...
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Dynamic Workload Scheduling in Edge Computing
Edge computing has fixed and limited resource capacity, thus low resource scalability is one of the inherent shortages. Nevertheless, on the one...
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Edge Service Caching
Edge computing, with service caching as a key application, is essential for reducing service response time and alleviating core network traffic...
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Reconfiguration of Multisets with Applications to Bin Packing
We use the reconfiguration framework to analyze problems that involve the rearrangement of items among groups. In various applications, a group of...