Anomaly Detection in Smart Environments: A Comprehensive Survey

D Fährmann, L Martín, L Sánchez, N Damer - IEEE Access, 2024 - ieeexplore.ieee.org
Anomaly detection is a critical task in ensuring the security and safety of infrastructure and
individuals in smart environments. This paper provides a comprehensive analysis of recent …

Application of digital-intelligence technology in the processing of Chinese materia medica

W Zhang, C Zhang, L Cao, F Liang, W Xie… - Frontiers in …, 2023 - frontiersin.org
Processing of Chinese Materia Medica (PCMM) is the concentrated embodiment, which is
the core of Chinese unique traditional pharmaceutical technology. The processing includes …

Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping

SF Chevtchenko, EDS Rocha, MCM Dos Santos… - IEEE …, 2023 - ieeexplore.ieee.org
Anomaly detection is critical in the smart industry for preventing equipment failure, reducing
downtime, and improving safety. Internet of Things (IoT) has enabled the collection of large …

[HTML][HTML] Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review

A Presciuttini, A Cantini, F Costa… - Journal of Manufacturing …, 2024 - Elsevier
Industry 4.0 has transformed manufacturing with real-time plant data collection across
operations and effective analysis is crucial to unlock the full potential of Internet-of-Things …

An Intelligent Approach to Improving the Performance of Threat Detection in IoT

NT Cam, NG Trung - IEEE Access, 2023 - ieeexplore.ieee.org
Internet of Things (IoT) systems are beneficial to our daily lives and have become
increasingly important. A complete IoT system includes devices, sensors, networks …

[HTML][HTML] Artificial Intelligence for safety and reliability: A descriptive, bibliometric and interpretative review on machine learning

N Tamascelli, A Campari, T Parhizkar… - Journal of Loss Prevention …, 2024 - Elsevier
This research provides a structured review of studies that utilize Artificial Intelligence for
safety and reliability. In particular, it focuses on Machine Learning techniques to perform …

Anomaly detection using ensemble classification and evidence theory

F Arévalo, MT Ibrahim, MPC Alison, A Schwung - IEEE Access, 2023 - ieeexplore.ieee.org
Multi-class ensemble classification remains a popular focus of investigation within the
research community. The popularization of cloud services has sped up their adoption due to …

Digital Twin-assisted anomaly detection for industrial scenarios

C Alcaraz, J Lopez - International Journal of Critical Infrastructure …, 2024 - Elsevier
Industry 5.0 is the current industrial paradigm that inherits the technological diversity of its
predecessor, Industry 4.0, but includes three priority goals:(i) resilience,(ii) sustainability and …

[HTML][HTML] Abnormal behavior detection in industrial control systems based on CNN

J Chen, B Liu, H Zuo - Alexandria Engineering Journal, 2024 - Elsevier
With the widespread application of Internet of Things technology in industrial control
systems, abnormal behavior detection has become a key task to ensure the safety and …

Applications of IoT and Advanced Analytics for manufacturing operations: a systematic literature review

A Presciuttini, A Portioli-Staudacher - Procedia Computer Science, 2024 - Elsevier
IoT is driving the digital transformation of companies into smart factories: data collected
through IoT technologies can provide powerful support to manufacturing operations …