Generative AI for secure physical layer communications: A survey
Generative Artificial Intelligence (GAI) stands at the forefront of AI innovation, demonstrating
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …
[HTML][HTML] Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis
As the use of Blockchain for digital payments continues to rise in popularity, it also becomes
susceptible to various malicious attacks. Successfully detecting anomalies within Blockchain …
susceptible to various malicious attacks. Successfully detecting anomalies within Blockchain …
A survey of graph-based deep learning for anomaly detection in distributed systems
Anomaly detection is a crucial task in complex distributed systems. A thorough
understanding of the requirements and challenges of anomaly detection is pivotal to the …
understanding of the requirements and challenges of anomaly detection is pivotal to the …
Enhancing credit card fraud detection through a novel ensemble feature selection technique
H Wang, Q Liang, JT Hancock… - 2023 IEEE 24th …, 2023 - ieeexplore.ieee.org
Identifying fraudulent activities in credit card transactions is an inherent component of
financial computing. The focus of our research is on the Credit Card Fraud Detection …
financial computing. The focus of our research is on the Credit Card Fraud Detection …
Detect anomalies in cloud platforms by using network data: a review
M Jayaweera, W Kithulwatta, R Rathnayaka - Cluster Computing, 2023 - Springer
Cloud computing is one of the utmost rapidly growing computing domains in today's
information technology ecosphere. Cloud computing links data and applications from …
information technology ecosphere. Cloud computing links data and applications from …
AI-Enhanced Cybersecurity: Machine Learning for Anomaly Detection in Cloud Computing
P Thapa, T Arjunan - Quarterly Journal of Emerging Technologies and …, 2024 - vectoral.org
Cloud computing has become ubiquitous, providing convenient on-demand access to
computing resources. However, security remains a major concern, as cloud environments …
computing resources. However, security remains a major concern, as cloud environments …
Optimizing compressive strength of quaternary-blended cement concrete through ensemble-instance-based machine learning
Optimizing the composition of concrete, particularly when incorporating ordinary Portland
cement (OPC) along with supplementary materials such as ground granulated blast furnace …
cement (OPC) along with supplementary materials such as ground granulated blast furnace …
Proposal of a workplace classification model for heart attack accidents from the field of occupational safety and health engineering
A Sánchez-Lite, JL Fuentes-Bargues, I Iglesias… - Heliyon, 2024 - cell.com
Research on occupational accidents is a key factor in improving working conditions and
sustainability. Fatal accidents incur significant human and economic costs. Therefore, it is …
sustainability. Fatal accidents incur significant human and economic costs. Therefore, it is …
Machine learning system for fraud detection. a methodological approach for a development platform
The democratization and massification use of credit cards lead inexorably to a high number
of fraudulent transactions. Generally, the fraud detection is part of the anomaly detection …
of fraudulent transactions. Generally, the fraud detection is part of the anomaly detection …
[PDF][PDF] Machine learning facing behavioral noise problem in an imbalanced data using one side behavioral noise reduction: application to a fraud detection
With the expansion of machine learning and data mining in the context of Big Data analytics,
the common problem that affects data is class imbalance. It refers to an imbalanced …
the common problem that affects data is class imbalance. It refers to an imbalanced …