Machine Learning (TinyML) is an upsurging research field that proposes to democratize the use of Machine Learning and Deep Learning on highly energy-efficient frugal …
R Deng, B Ke, Y Xie, S Cheng, C Zhang, H Zhang… - Nano-Micro Letters, 2023 - Springer
Abstract Lithium-sulfur (Li–S) system coupled with thin-film solid electrolyte as a novel high- energy micro-battery has enormous potential for complementing embedded energy …
The society as a whole, and many vertical sectors in particular, is becoming increasingly digitalized. Machine Type Communication (MTC), encompassing its massive and critical …
Technology is continually undergoing a constituent development caused by the appearance of billions new interconnected “things” and their entrenchment in our daily lives. One of the …
Recent advances on wireless energy transfer (WET) make it a promising solution for powering future Internet-of-Things (IoT) devices enabled by the upcoming sixth-generation …
Y Li, M Zhu, VK Bandari… - Advanced Energy …, 2022 - Wiley Online Library
Advances in microelectronics have enabled the use of miniaturized computers for autonomous intelligence at the size of a dust particle less than one square millimeter across …
The recently introduced 5G New Radio is the first wireless standard natively designed to support critical and massive machine type communications (MTC). However, it is already …
M Krichen - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
With smartphones being so ubiquitous, more connected and largely fitted with several types of sensors such as GPS, microphones, cameras, magnetometers, accelerometers, etc; there …
A Islam, SY Shin - Journal of Communications and Networks, 2019 - ieeexplore.ieee.org
Internet of things (IoT), mobile edge computing (MEC), and unmanned aerial vehicle (UAV) have attracted significant attention in both industry and academic research. By consolidating …