A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection
Time series are the primary data type used to record dynamic system measurements and
generated in great volume by both physical sensors and online processes (virtual sensors) …
generated in great volume by both physical sensors and online processes (virtual sensors) …
[HTML][HTML] Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …
wide range of smart and connected devices and applications in several domains, such as …
Graph neural networks in IoT: A survey
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
[HTML][HTML] Key challenges and emerging technologies in industrial IoT architectures: A review
AA Mirani, G Velasco-Hernandez, A Awasthi, J Walsh - Sensors, 2022 - mdpi.com
The Industrial Internet of Things (IIoT) is bringing evolution with remote monitoring,
intelligent analytics, and control of industrial processes. However, as the industrial world is …
intelligent analytics, and control of industrial processes. However, as the industrial world is …
[HTML][HTML] A comprehensive review of internet of things: Technology stack, middlewares, and fog/edge computing interface
The Internet of Things (IoT) is an extensive network of heterogeneous devices that provides
an array of innovative applications and services. IoT networks enable the integration of data …
an array of innovative applications and services. IoT networks enable the integration of data …
Reliable and resilient AI and IoT-based personalised healthcare services: A survey
Recent technological (eg, IoT, 5G), and economic (eg, UN 2030 Sustainable Development
Goals) developments have transformed the healthcare sector towards more personalized …
Goals) developments have transformed the healthcare sector towards more personalized …
Multi‐Drone Edge Intelligence and SAR Smart Wearable Devices for Emergency Communication
SH Alsamhi, FA Almalki, H Al-Dois… - Wireless …, 2021 - Wiley Online Library
Disasters, either manmade or natural, call for rapid and timely actions. Due to disaster, all of
the communication infrastructures are destroyed, and there is no way for connection …
the communication infrastructures are destroyed, and there is no way for connection …
Montithings: Model-driven development and deployment of reliable iot applications
JC Kirchhof, B Rumpe, D Schmalzing… - Journal of Systems and …, 2022 - Elsevier
Abstract Internet of Things (IoT) applications are exposed to harsh conditions due to factors
such as device failure, network problems, or implausible sensor values. We investigate how …
such as device failure, network problems, or implausible sensor values. We investigate how …
A behavioural hierarchical analysis framework in a smart home: Integrating HMM and probabilistic model checking
Smart homes offer great convenience for people living alone and assistance for physically
impaired inhabitants. Robust behavioural analysis technology is one of the keys to …
impaired inhabitants. Robust behavioural analysis technology is one of the keys to …
[HTML][HTML] Energy efficiency for green internet of things (IoT) networks: A survey
The last decade has witnessed the rise of the proliferation of Internet-enabled devices. The
Internet of Things (IoT) is becoming ever more pervasive in everyday life, connecting an ever …
Internet of Things (IoT) is becoming ever more pervasive in everyday life, connecting an ever …