Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction
The importance of wireless sensor networks in structural health monitoring is unceasingly
growing, because of the increasing demand for both safety and security in the cities. The …
growing, because of the increasing demand for both safety and security in the cities. The …
[HTML][HTML] Advancements in fiber-reinforced polymer composite materials damage detection methods: Towards achieving energy-efficient SHM systems
The application of fiber-reinforced polymer (FRP) composites is continuously increasing due
to their superior mechanical properties and the associated weight advantage. However, they …
to their superior mechanical properties and the associated weight advantage. However, they …
Self-powered and self-sensing devices based on human motion
The emergence of human-motion-based energy harvesters is a reflection of the need to
develop future energy supplies for small-scale human-motion-based self-powered and self …
develop future energy supplies for small-scale human-motion-based self-powered and self …
Dependable intrusion detection system for IoT: A deep transfer learning based approach
Security concerns for Internet of Things (IoT) applications have been alarming because of
their widespread use in different enterprise systems. The potential threats to these …
their widespread use in different enterprise systems. The potential threats to these …
A secure IoT service architecture with an efficient balance dynamics based on cloud and edge computing
The Internet of Things (IoT)-Cloud combines the IoT and cloud computing, which not only
enhances the IoT's capability but also expands the scope of its applications. However, it …
enhances the IoT's capability but also expands the scope of its applications. However, it …
A personalized privacy protection framework for mobile crowdsensing in IIoT
With the rapid digitalization of various industries, mobile crowdsensing (MCS), an intelligent
data collection and processing paradigm of the industrial Internet of Things, has provided a …
data collection and processing paradigm of the industrial Internet of Things, has provided a …
A trust-based collaborative filtering algorithm for E-commerce recommendation system
The rise of e-commerce has not only given consumers more choice but has also caused
information overload. In order to quickly find favorite items from vast resources, users are …
information overload. In order to quickly find favorite items from vast resources, users are …
Secured data collection with hardware-based ciphers for IoT-based healthcare
There are tremendous security concerns with patient health monitoring sensors in Internet of
Things (IoT). The concerns are also realized by recent sophisticated security and privacy …
Things (IoT). The concerns are also realized by recent sophisticated security and privacy …
Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks
Being an alternative to conventional wired sensors, wireless sensor networks (WSNs) are
extensively used in Structural Health Monitoring (SHM) applications. Most of the Structural …
extensively used in Structural Health Monitoring (SHM) applications. Most of the Structural …
An efficient deep learning model to predict cloud workload for industry informatics
Deep learning, as the most important architecture of current computational intelligence,
achieves super performance to predict the cloud workload for industry informatics. However …
achieves super performance to predict the cloud workload for industry informatics. However …