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[HTML][HTML] Bias and ethics of AI systems applied in auditing-A systematic review
The integration of artificial intelligence into auditing shows great potential in enhancing
automation and gaining insights from complex data. However, it also presents significant …
automation and gaining insights from complex data. However, it also presents significant …
A comprehensive review of machine learning approaches for anomaly detection in smart homes: experimental analysis and future directions
Detecting anomalies in human activities is increasingly crucial today, particularly in nuclear
family settings, where there may not be constant monitoring of individuals' health, especially …
family settings, where there may not be constant monitoring of individuals' health, especially …
[PDF][PDF] Impact of AI on cybersecurity and security compliance
Artificial Intelligence (AI) is transforming the field of cybersecurity and resha** security
compliance practices. As cyber threats become increasingly complex, AI offers powerful …
compliance practices. As cyber threats become increasingly complex, AI offers powerful …
Auditors in the digital age: a systematic literature review
D Leocádio, L Malheiro, JCG Reis - Digital Transformation and …, 2025 - emerald.com
Purpose This study examines the dynamics of innovative auditing practices in the digital
age, with a specific focus on auditor competencies. Within this scope, we highlight the …
age, with a specific focus on auditor competencies. Within this scope, we highlight the …
Anomaly detection module for network traffic monitoring in public institutions
It seems to be a truism to say that we should pay more and more attention to network traffic
safety. Such a goal may be achieved with many different approaches. In this paper, we put …
safety. Such a goal may be achieved with many different approaches. In this paper, we put …
[HTML][HTML] Understanding regulatory changes: Deep learning in sustainable finance and banking
This paper examines the regulatory impact on the European Banking Sector using
advanced deep learning techniques to analyze the relationship between Sustainable …
advanced deep learning techniques to analyze the relationship between Sustainable …
Advancing anomaly detection: Non-semantic financial data encoding with llms
Detecting anomalies in general ledger data is of utmost importance to ensure
trustworthiness of financial records. Financial audits increasingly rely on machine learning …
trustworthiness of financial records. Financial audits increasingly rely on machine learning …
From data to insights: the application and challenges of knowledge graphs in intelligent audit
H Zhong, D Yang, S Shi, L Wei, Y Wang - Journal of Cloud Computing, 2024 - Springer
In recent years, knowledge graph technology has been widely applied in various fields such
as intelligent auditing, urban transportation planning, legal research, and financial analysis …
as intelligent auditing, urban transportation planning, legal research, and financial analysis …
Financial fraud detection through the application of machine learning techniques: a literature review
Financial fraud negatively impacts organizational administrative processes, particularly
affecting owners and/or investors seeking to maximize their profits. Addressing this issue …
affecting owners and/or investors seeking to maximize their profits. Addressing this issue …
Towards a sustainable edge computing framework for condition monitoring in decentralized photovoltaic systems
In recent times, the rapid advancements in technology have led to a digital revolution in
urban areas, and new computing frameworks are emerging to address the current issues in …
urban areas, and new computing frameworks are emerging to address the current issues in …