Location prediction on trajectory data: A review
R Wu, G Luo, J Shao, L Tian… - Big data mining and …, 2018 - ieeexplore.ieee.org
Location prediction is the key technique in many location based services including route
navigation, dining location recommendations, and traffic planning and control, to mention a …
navigation, dining location recommendations, and traffic planning and control, to mention a …
Characterizing smart environments as interactive and collective platforms: A review of the key behaviors of responsive architecture
Since architect Nicholas Negroponte first proposed a vision of responsive architecture smart
environments have been widely investigated, especially in the fields of computer science …
environments have been widely investigated, especially in the fields of computer science …
sMRT: Multi-resident tracking in smart homes with sensor vectorization
Smart homes equipped with anonymous binary sensors offer a low-cost, unobtrusive
solution that powers activity-aware applications, such as building automation, health …
solution that powers activity-aware applications, such as building automation, health …
A comprehensive survey on trajectory-based location prediction
V Koolwal, KK Mohbey - Iran Journal of Computer Science, 2020 - Springer
Recent explorative growth in telecommunication and telepathy technology has flooded the
market with location-based data, which paves the way for location-aware prediction …
market with location-based data, which paves the way for location-aware prediction …
A systematic literature review of intent sensing for control of medical devices
J Russell, J Bergmann - IEEE Transactions on Medical …, 2021 - ieeexplore.ieee.org
The usefulness of medical devices, which require user input, is often limited by the control
schemes that operate them. The recognition of user intent could enable far more intuitive …
schemes that operate them. The recognition of user intent could enable far more intuitive …
Multiple target counting and tracking using binary proximity sensors: Bounds, coloring, and filter
L Song, Y Wang - Proceedings of the 15th ACM international symposium …, 2014 - dl.acm.org
Binary proximity sensors (BPS) provide extremely low cost and privacy preserving features
for tracking mobile targets in smart environment, but great challenges are posed for track-ing …
for tracking mobile targets in smart environment, but great challenges are posed for track-ing …
Scheduling sensor duty cycling based on event detection using bi-directional long short-term memory and reinforcement learning
A smart home provides a facilitated environment for the detection of human activity with
appropriate Deep Learning algorithms to manipulate data collected from numerous sensors …
appropriate Deep Learning algorithms to manipulate data collected from numerous sensors …
Distributed abnormal activity detection in smart environments
The abnormal activity detection in smart environments has experienced increasing attention
over years, due to its usefulness in pervasive applications. In order to meet the real-time …
over years, due to its usefulness in pervasive applications. In order to meet the real-time …
On target counting by sequential snapshots of binary proximity sensors
Counting and tracking multiple targets by binary proximity sensors (BPS) is known difficult
because a BPS in “on” state cannot distinguish how many targets are presenting in its …
because a BPS in “on” state cannot distinguish how many targets are presenting in its …
Lifetime improvements of smart sensors maintenance protocol in prospect of IoT-based Rampal power plant
In the 21st century, the power quality and availability with customer demands to the society
is the main challenging factor right now. Therefore, the gird monitoring system become a …
is the main challenging factor right now. Therefore, the gird monitoring system become a …