[HTML][HTML] Intellectual landscape and emerging trends of big data research in hospitality and tourism: A scientometric analysis
Y Cai, G Li, L Wen, C Liu - International journal of hospitality management, 2024 - Elsevier
Big data contain a vast amount of information which is valuable for researchers and decision-
makers both in normal and crisis situations. This bibliometric study aims to present the …
makers both in normal and crisis situations. This bibliometric study aims to present the …
[HTML][HTML] Future of Generative Adversarial Networks (GAN) for Anomaly Detection in Network Security: A Review
Anomaly detection is crucial in various applications, particularly cybersecurity and network
intrusion. However, a common challenge across anomaly detection techniques is the …
intrusion. However, a common challenge across anomaly detection techniques is the …
[HTML][HTML] Anomaly detection for space information networks: A survey of challenges, techniques, and future directions
Abstract Space anomaly detection plays a critical role in safeguarding the integrity and
reliability of space systems amid the rising tide of threats. This survey aims to deepen …
reliability of space systems amid the rising tide of threats. This survey aims to deepen …
Anomaly detection in the course evaluation process: a learning analytics–based approach
A Vaidya, S Sharma - Interactive Technology and Smart Education, 2024 - emerald.com
Purpose Course evaluations are formative and are used to evaluate learnings of the
students for a course. Anomalies in the evaluation process can lead to a faulty educational …
students for a course. Anomalies in the evaluation process can lead to a faulty educational …
Empirical enhancement of intrusion detection systems: a comprehensive approach with genetic algorithm-based hyperparameter tuning and hybrid feature selection
Abstract Machine learning-based IDSs have demonstrated promising outcomes in
identifying and mitigating security threats within IoT networks. However, the efficacy of such …
identifying and mitigating security threats within IoT networks. However, the efficacy of such …
Communications security in Industry X: A survey
Industry 4.0 is moving towards deployment using 5G as one of the main underlying
communication infrastructures. Thus, the vision of the Industry of the future is getting more …
communication infrastructures. Thus, the vision of the Industry of the future is getting more …
A high-throughput architecture for anomaly detection in streaming data using machine learning algorithms
C Surianarayanan, S Kunasekaran… - International Journal of …, 2024 - Springer
Detection of anomaly in streaming data requires continuous analysis of the stream in real
time. This process turns out to be difficult due to varied volume and velocity of data streams …
time. This process turns out to be difficult due to varied volume and velocity of data streams …
融合双重注意力机制的时间序列异常检测模型.
杨超城， 严宣辉， 陈容均… - Journal of Frontiers of …, 2024 - search.ebscohost.com
时间序列异常检测作为时间序列研究的重要组成部分, 已经引起学术界和工业界的广泛关注和
研究. 针对时间序列数据中蕴含的深层局部特征和复杂的前后依赖关系, 提出一种融合双重注意 …
研究. 针对时间序列数据中蕴含的深层局部特征和复杂的前后依赖关系, 提出一种融合双重注意 …
Enhanced abnormal data detection hybrid strategy based on heuristic and stochastic approaches for efficient patients rehabilitation
Over the last few years, substantial research has been conducted towards developing
efficient abnormal detection techniques while considering efficiency, accuracy, high …
efficient abnormal detection techniques while considering efficiency, accuracy, high …
The role of big data in financial technology toward financial inclusion
D Mhlanga - Frontiers in big Data, 2024 - frontiersin.org
In the rapidly evolving landscape of financial technology (FinTech), big data stands as a
cornerstone, driving significant transformations. This study delves into the pivotal role of big …
cornerstone, driving significant transformations. This study delves into the pivotal role of big …