Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects
Internet of Things (IoT) is a develo** technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …
exchanging data with other devices using the cloud or wireless networks. However, the …
Challenges in predictive maintenance–A review
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
Passban IDS: An intelligent anomaly-based intrusion detection system for IoT edge devices
Cyber-threat protection is today's one of the most challenging research branches of
information technology, while the exponentially increasing number of tiny, connected …
information technology, while the exponentially increasing number of tiny, connected …
Machine learning and data analytics for the IoT
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …
generating a large amount of data required for intelligent data processing. However, the …
Anomalous sound event detection: A survey of machine learning based methods and applications
With the development of multi-modal man-machine interaction, audio signal analysis is
gaining importance in a field traditionally dominated by video. In particular, anomalous …
gaining importance in a field traditionally dominated by video. In particular, anomalous …
AI on the edge: a comprehensive review
W Su, L Li, F Liu, M He, X Liang - Artificial Intelligence Review, 2022 - Springer
With the advent of the Internet of Everything, the proliferation of data has put a huge burden
on data centers and network bandwidth. To ease the pressure on data centers, edge …
on data centers and network bandwidth. To ease the pressure on data centers, edge …
Possible applications of edge computing in the manufacturing industry—systematic literature review
K Kubiak, G Dec, D Stadnicka - Sensors, 2022 - mdpi.com
This article presents the results of research with the main goal of identifying possible
applications of edge computing (EC) in industry. This study used the methodology of …
applications of edge computing (EC) in industry. This study used the methodology of …
Efficient anomaly detection for smart hospital IoT systems
In critical Internet of Things (IoT) application domains, such as the Defense Industry and
Healthcare, false alerts have many negative effects, such as fear, disruption of emergency …
Healthcare, false alerts have many negative effects, such as fear, disruption of emergency …
Recent trends in AI-based intelligent sensing
In recent years, intelligent sensing has gained significant attention because of its
autonomous decision-making ability to solve complex problems. Today, smart sensors …
autonomous decision-making ability to solve complex problems. Today, smart sensors …
An integrated machine learning model for aircraft components rare failure prognostics with log-based dataset
Predictive maintenance is increasingly advancing into the aerospace industry, and it comes
with diverse prognostic health management solutions. This type of maintenance can unlock …
with diverse prognostic health management solutions. This type of maintenance can unlock …