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Artificial intelligence-based sensors for next generation IoT applications: A review
Sensors play a vital role in our daily lives and are an essential component for Internet of
Things (IoT) based systems as they enable the IoT to collect data to take smart and …
Things (IoT) based systems as they enable the IoT to collect data to take smart and …
A review of low-end, middle-end, and high-end iot devices
Internet of Things (IoT) devices play a crucial role in the overall development of IoT in
providing countless applications in various areas. Due to the increasing interest and rapid …
providing countless applications in various areas. Due to the increasing interest and rapid …
Technologies for comprehensive information security in the IoT
Due to the difficulty and significance of the Internet of Things (IoT), the highest standards of
data protection are essential to the successful growth of any smart city or technical …
data protection are essential to the successful growth of any smart city or technical …
A comparative study on human activity recognition using inertial sensors in a smartphone
A Wang, G Chen, J Yang, S Zhao… - IEEE Sensors …, 2016 - ieeexplore.ieee.org
Activity recognition plays an essential role in bridging the gap between the low-level sensor
data and the high-level applications in ambient-assisted living systems. With the aim to …
data and the high-level applications in ambient-assisted living systems. With the aim to …
A novel secure IoT-based smart home automation system using a wireless sensor network
Wireless sensor networks (WSNs) provide noteworthy benefits over traditional approaches
for several applications, including smart homes, healthcare, environmental monitoring, and …
for several applications, including smart homes, healthcare, environmental monitoring, and …
Sensor data augmentation by resampling in contrastive learning for human activity recognition
While deep learning models have contributed to the advancement of sensor-based human
activity recognition (HAR), it usually requires large amounts of annotated sensor data to …
activity recognition (HAR), it usually requires large amounts of annotated sensor data to …
Wearable medical sensor-based system design: A survey
Wearable medical sensors (WMSs) are garnering ever-increasing attention from both the
scientific community and the industry. Driven by technological advances in sensing, wireless …
scientific community and the industry. Driven by technological advances in sensing, wireless …
[HTML][HTML] Smart aging system: uncovering the hidden wellness parameter for well-being monitoring and anomaly detection
Background: Ambiguities and anomalies in the Activity of Daily Living (ADL) patterns
indicate deviations from Wellness. The monitoring of lifestyles could facilitate remote …
indicate deviations from Wellness. The monitoring of lifestyles could facilitate remote …
Human presence sensing and gesture recognition for smart home applications with moving and stationary clutter suppression using a 60-GHz digital beamforming …
With the advancement of radio frequency (RF) assisted smart home technology, it is critical
for the RF sensors deployed indoors to isolate the target of interest from unwanted clutter …
for the RF sensors deployed indoors to isolate the target of interest from unwanted clutter …
Cooperative RSS-based localization in wireless sensor networks using relative error estimation and semidefinite programming
Z Wang, H Zhang, T Lu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A new cooperative received signal strength-based localization algorithm is proposed which
employs relative error estimation and semidefinite programming (SDP). First, the log-normal …
employs relative error estimation and semidefinite programming (SDP). First, the log-normal …