Smart anomaly detection in sensor systems: A multi-perspective review
Anomaly detection is concerned with identifying data patterns that deviate remarkably from
the expected behavior. This is an important research problem, due to its broad set of …
the expected behavior. This is an important research problem, due to its broad set of …
Tackling faults in the industry 4.0 era—a survey of machine-learning solutions and key aspects
The recent advancements in the fields of artificial intelligence (AI) and machine learning
(ML) have affected several research fields, leading to improvements that could not have …
(ML) have affected several research fields, leading to improvements that could not have …
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)
Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …
Edge intelligence: Empowering intelligence to the edge of network
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …
caching, processing, and analysis proximity to where data are captured based on artificial …
A survey on industrial Internet of Things: A cyber-physical systems perspective
The vision of Industry 4.0, otherwise known as the fourth industrial revolution, is the
integration of massively deployed smart computing and network technologies in industrial …
integration of massively deployed smart computing and network technologies in industrial …
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 …
Artificial intelligence-driven mechanism for edge computing-based industrial applications
AH Sodhro, S Pirbhulal… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Due to various challenging issues such as, computational complexity and more delay in
cloud computing, edge computing has overtaken the conventional process by efficiently and …
cloud computing, edge computing has overtaken the conventional process by efficiently and …
A novel attack detection scheme for the industrial internet of things using a lightweight random neural network
The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial
applications, databases, services, and people at work. The IIoT is improving our lives in …
applications, databases, services, and people at work. The IIoT is improving our lives in …
Recent advances in energy management for Green-IoT: An up-to-date and comprehensive survey
S Benhamaid, A Bouabdallah, H Lakhlef - Journal of Network and …, 2022 - Elsevier
Abstract Internet-of-Things (IoT) refers to the massive network interconnection of objects
often equipped with ubiquitous intelligence employed to provide smart services to end …
often equipped with ubiquitous intelligence employed to provide smart services to end …
Edge intelligence: Architectures, challenges, and applications
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis in locations close to where data is captured based on …
caching, processing, and analysis in locations close to where data is captured based on …