14 hasil untuk "Cameron Modisane"
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Artikel Jurnal
IT Knowledge and 4IR Skills Needed from Internal Auditors in South African Companies
Purpose: This study examines the expected IT knowledge and Fourth Industrial Revolution (4IR) skills needed from internal auditors in South African companies. The study examines key 4IR technologies and IT skills relevant to the internal audit profession and proposes recommendations for improving…
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Artikel Jurnal
An Analysis of Financial Sustainability in Local Government in Ghana
Purpose: The study aimed to analyse the financial sustainability in local government in Ghana. The study used census balanced panel data design and survey approach to administer 621 structured questionnaires to the chief audit executives, audit committee and board of directors’ chairpersons in the…
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Artikel Jurnal
A Review of the Moderating Effect of Audit Quality on Data Analytics and Integrated Reporting
Purpose: The aim of this work is to investigate the moderating effects of audit quality on data analytics tools and integrated reporting (IR). In particular, the study seeks to investigate the relationship that visualization tools, programming/data processing tools, and AI-based analytics have on…
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Artikel Jurnal
Effect of Students Unrest on Academic Performance of Accounting and Finance Students: A Systematic Literature Review
Purpose: The purpose of this study was to conduct a systematic search into the empirical literature on the influence of student unrest on the academic outcomes of accounting and finance students. The research aimed to mainstream existing knowledge of campus protest and institution-related…
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Artikel Jurnal
A Systematic Literature Review of the Role of Audit Committees in Local Government in Ghana
Purpose: The study aimed to analyze the role of audit committees in local government through the review of existing literature. Eighty empirical studies, published in several relevant journals from 2000-2023 were analyzed in order to identify the role of audit committees in local governance…
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Artikel Jurnal
Prompt engineering as cognitive scaffolding for ethical and explanatory quality in AI-mediated financial learning
Abstract Background Large language models (LLMs) are increasingly used in personal finance education, yet the role of instructional prompt design in shaping explanatory quality and ethical responsiveness remains underexplored. This matters because trustworthy financial guidance and instruction…
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Artikel Jurnal
An unsupervised machine learning analysis of stakeholder opinions on foot-and-mouth disease control in South Africa
Abstract Foot-and-mouth disease (FMD) remains one of the most contagious and economically disruptive livestock diseases in South Africa, with recurrent outbreaks affecting animal health, wildlife conservation, and national trade. Effective control planning requires not only epidemiological evidence…
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Artikel Jurnal Teks lengkap
Deep Reinforcement Learning in the Era of Foundation Models: A Survey
Deep reinforcement learning (DRL) and large foundation models (FMs) have reshaped modern artificial intelligence (AI) by enabling systems that learn from interaction while leveraging broad generalization and multimodal reasoning capabilities. This survey examines the growing convergence of these…
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Artikel Jurnal Teks lengkap
Detecting Imbalanced Credit Card Fraud via Hybrid Graph Attention and Variational Autoencoder Ensembles
Credit card fraud detection remains a major challenge due to severe class imbalance and the constantly evolving nature of fraudulent behaviors. To address these challenges, this paper proposes a hybrid framework that integrates a Variational Autoencoder (VAE) for probabilistic anomaly detection, a…
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Artikel Jurnal Teks lengkap
Deep Learning for Credit Risk Prediction: A Survey of Methods, Applications, and Challenges
Credit risk prediction is central to financial stability and regulatory compliance, guiding lending decisions and portfolio risk management. While traditional approaches such as logistic regression and tree-based models have long been the industry standard, recent advances in deep learning (DL)…
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Artikel Jurnal
AI-driven metaheuristic optimization for enhanced grid resilience under extreme weather and load shedding constraints
Abstract The incorporation of Distributed Energy Resources (DER), especially PV and BESS, is essential in making radial power systems stable. Unfortunately, most recent optimization algorithms make an assumption of an unconstrained utility supply, targeting minimization of losses during daylight or…
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Artikel Jurnal
Large language models: an overview of foundational architectures, recent trends, and a new taxonomy
Abstract Since the introduction of foundational models such as Bidirectional Encoder Representations from Transformers (BERT) and Generative Pre-trained Transformers (GPT), there has been rapid evolution in both the scale and application of large language models (LLMs). This review provides a…
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Artikel Jurnal
Time series modeling of Monkeypox incidence in Central Africa’s endemic regions
Monkeypox is a re-emerging zoonotic viral disease endemic to the Democratic Republic of Congo (DRC) and other Central African countries, with recurrent outbreaks posing persistent public health threats. Accurate short-term forecasts of Mpox incidence are essential for guiding surveillance…
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Artikel Jurnal Teks lengkap
A Systematic Review of Contrastive Learning in Medical AI: Foundations, Biomedical Modalities, and Future Directions
Medical artificial intelligence (AI) systems depend heavily on high-quality data representations to support accurate prediction, diagnosis, and clinical decision-making. However, the availability of large, well-annotated medical datasets is often constrained by cost, privacy concerns, and the need…