Towards energy efficiency in the internet of wearable things: A systematic review
Personal mobile devices such as smartwatches, smart jewelry, and smart clothes have
launched a new trend in the Internet of Things (IoT) era, namely the Internet of Wearable …
launched a new trend in the Internet of Things (IoT) era, namely the Internet of Wearable …
[HTML][HTML] A survey on wearable technology: History, state-of-the-art and current challenges
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 …
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …
Survey of decentralized solutions with mobile devices for user location tracking, proximity detection, and contact tracing in the COVID-19 era
Some of the recent developments in data science for worldwide disease control have
involved research of large-scale feasibility and usefulness of digital contact tracing, user …
involved research of large-scale feasibility and usefulness of digital contact tracing, user …
Approximate computing for ML: State-of-the-art, challenges and visions
In this paper, we present our state-of-the-art approximate techniques that cover the main
pillars of approximate computing research. Our analysis considers both static and …
pillars of approximate computing research. Our analysis considers both static and …
MACISH: Designing approximate MAC accelerators with internal-self-healing
Approximate computing studies the quality-efficiency trade-off to attain a best-efficiency (eg,
area, latency, and power) design for a given quality constraint and vice versa. Recently, self …
area, latency, and power) design for a given quality constraint and vice versa. Recently, self …
Imagin: Library of imply and magic nor-based approximate adders for in-memory computing
In-memory computing (IMC) has attracted significant interest in recent years as it aims to
bridge the memory bottleneck in the Von Neumann architectures. IMC also improves the …
bridge the memory bottleneck in the Von Neumann architectures. IMC also improves the …
C2PAx: Complexity-aware constant parameter approximation for energy-efficient tree-based machine learning accelerators
Tree-based machine learning models, like random forests and decision trees, are low-
complexity solutions that provide an efficient prediction for a wide range of applications …
complexity solutions that provide an efficient prediction for a wide range of applications …
Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach
In the near future, Exascale systems will need to bridge three technology gaps to achieve
high performance while remaining under tight power constraints: energy efficiency and …
high performance while remaining under tight power constraints: energy efficiency and …
AxLS: A framework for approximate logic synthesis based on netlist transformations
J Castro-Godinez, H Barrantes-Garcia… - … on Circuits and …, 2021 - ieeexplore.ieee.org
With the rise of Approximate Computing as an energy-efficient design paradigm that is
amenable to error-tolerant applications, different Approximate Logic Synthesis (ALS) …
amenable to error-tolerant applications, different Approximate Logic Synthesis (ALS) …
When wearable technology meets computing in future networks: a road ahead
Rapid technology advancement, economic growth, and industrialization have paved the way
for developing a new niche of small body-worn personal devices, gathered together under a …
for developing a new niche of small body-worn personal devices, gathered together under a …