Device-Level Energy Efficient Strategies in Machine Type Communications: Power, Processing, Sensing, and RF Perspectives
The objective of our work is to provide an in-depth analysis and compilation of device-level
strategies for enhancing the energy efficiency of Machine-Type Communication (MTC). The …
strategies for enhancing the energy efficiency of Machine-Type Communication (MTC). The …
[HTML][HTML] Uncertainty-aware autonomous sensing with deep reinforcement learning
Constructing an accurate representation model of phenomena with fewer measurements is
a fundamental challenge in the Internet of Things. Leveraging sparse sensing policies to …
a fundamental challenge in the Internet of Things. Leveraging sparse sensing policies to …
Accuracy-aware data reduction for internet of things
The Internet of Things (IoT) generates an enormous amount of data. Usually, either in real-
time or after their collection, these data are passed to already trained machine learning and …
time or after their collection, these data are passed to already trained machine learning and …
Reinforcement learning for trench excavation
J Rankin - 2023 - repository.lboro.ac.uk
Excavation autonomy is an area of industrial interest as there is a significant skills shortage
for excavator operators, yet the industry is facing higher budget constraints than ever before …
for excavator operators, yet the industry is facing higher budget constraints than ever before …