Titlebook: South African Computer Science and Information Systems Research Trends; 45th Annual Conferen Aurona Gerber Conference proceedings 2024 The

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书目名称South African Computer Science and Information Systems Research Trends影响因子(影响力)学科排名




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书目名称South African Computer Science and Information Systems Research Trends网络公开度学科排名




书目名称South African Computer Science and Information Systems Research Trends被引频次




书目名称South African Computer Science and Information Systems Research Trends被引频次学科排名




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书目名称South African Computer Science and Information Systems Research Trends年度引用学科排名




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书目名称South African Computer Science and Information Systems Research Trends读者反馈学科排名

外向者

Conference proceedings 2024full papers included in this book were carefully reviewed and selected from 81 submissions. They focus on the transforming relationship between humans and machines. This year‘s theme is "Human-Machine-Digital-Convergence"..

Counteract

Understanding Limited Enterprise Systems Benefits in Government: An African Casen their ES were predominantly due to the limited IT support post-implementation although limitations with the initial implementation project were raised. The root causes of limited benefits are organizational constraints within the government departments and poor consultant knowledge transfer.

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Deep Learning Classification for Encrypted Botnet Traffic: Optimising Model Performance and Resourcereasingly struggle with modern networking procedures, like encryption. Deep learning (DL) offers an alternative approach to traffic classification problems. We address two major problem classes: (1) botnet detection and (2) botnet family classification. For each problem, we explore five implementati

ANTH

Quantitative Analysis of Zambian Wikipedia Contributions: Assessing Awareness, Willingness, Motivationtributors. It is recorded that only 10 people from Zambia contribute and create content on wikipedia in the month of may 2023. While a large number consumes Wikipedia content, there is a noticeably low number of Wikipedians that contribute content on and about Zambia. This paper presents a Faceboo

GUISE

Empirical Evaluation of Variational Autoencoders and Denoising Diffusion Models for Data Augmentatioaudio recordings of endangered animals compounds this issue due to high costs, logistical constraints, and the rarity of the species in question. Typically, bioacoustic datasets have imbalanced class distributions, further complicating model training with limited examples for some rare species. To o

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Investigating Markov Model Accuracy in Representing Student Programming Behaviours learning and programming behaviours, it is challenging to track and identify when students get overwhelmed while writing programs. When students are overwhelmed, they are unable to complete learning objectives on time and follow prescribed pathways, depriving them of the opportunity to learn new co

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AVANT

Is Transformer-Based Attention Agnostic of the Pretraining Language and Task? models (LLMs), such as BERT, ELECTRA, and various GPT versions. Due to the complexity and the large size of LLMs and deep neural networks in general, intelligible explanations for specific model outputs can be difficult to formulate. However, mechanistic interpretability research aims to make this

Employee

Age-Related Face Recognition Using Siamese Networks and Vision Transformersimportance of recognizing individuals based on age-related facial features within this domain. This paper presents a comprehensive evaluation of two deep learning architectures for age-based face recognition: Siamese Convolutional Networks (SCNs) and Vision Transformers (ViTs). Convolutional Neural