Approximation opportunities in edge computing hardware: A systematic literature review
HJ Damsgaard, A Ometov, J Nurmi - ACM Computing Surveys, 2023 - dl.acm.org
With the increasing popularity of the Internet of Things and massive Machine Type
Communication technologies, the number of connected devices is rising. However, although …
Communication technologies, the number of connected devices is rising. However, although …
Design and analysis of approximate 4–2 compressors for high-accuracy multipliers
T Kong, S Li - IEEE Transactions on Very Large Scale …, 2021 - ieeexplore.ieee.org
Approximate multipliers are applicable in error-resilient applications with relaxed precision
constraints, including image processing, multimedia, and data recognition. Such multipliers …
constraints, including image processing, multimedia, and data recognition. Such multipliers …
Low-power detection and classification for in-sensor predictive maintenance based on vibration monitoring
In this work, a new custom design of an anomaly detection and classification system is
proposed. It is composed of a convolutional Auto-Encoder (AE) hardware design to perform …
proposed. It is composed of a convolutional Auto-Encoder (AE) hardware design to perform …
Low-power anomaly detection and classification system based on a partially binarized autoencoder for in-sensor computing
This work proposes a new ultra low-power fault detection system, suitable for extreme edge
or in-sensor computing. The system is composed of a hybrid HW/SW architecture: a …
or in-sensor computing. The system is composed of a hybrid HW/SW architecture: a …
S-QRD-ELM: scalable QR-decomposition-based extreme learning machine engine supporting online class-incremental learning for ECG-based user identification
YT Chen, YC Chuang, LS Chang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
User identification enables secure access to data and machines in smart factories.
Compared with other modalities, ECG-based user identification is rising due to its intrinsic …
Compared with other modalities, ECG-based user identification is rising due to its intrinsic …
Toward real-time, at-home patient health monitoring using reservoir computing CMOS IC
ST Chandrasekaran, SP Bhanushali… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
This work presents a mixed-signal, reservoir-computing neural network (RC-NN) for at-
home, real-time health monitoring using intelligent wearable device. The proposed …
home, real-time health monitoring using intelligent wearable device. The proposed …
Computation Architecture for Edge Computing Devices on IoMT-Based Deep Belief Networks
KS Palanisamy - … -Architecture and Applications for Smart Cities …, 2024 - books.google.com
Abstract The Internet of Medical Things (IoMT) is one of the growing and emerging
technologies in recent trends. Faster computation is the major requirement of any edge …
technologies in recent trends. Faster computation is the major requirement of any edge …
[HTML][HTML] An Effective and Efficient Computation Architecture for Edge Computing Devices on IoMT-Based Deep Belief Networks
DKJ Rajendiran, BV Ramasamy… - … and Applications for …, 2024 - intechopen.com
Abstract The Internet of Medical Things (IoMT) is one of the growing and emerging
technologies in recent trends. Faster computation is the major requirement of any edge …
technologies in recent trends. Faster computation is the major requirement of any edge …
Edge processing in IoT using approximate and in-memory computing
SK Bose - 2021 - dr.ntu.edu.sg
With a large number of sensors getting connected to the internet, scalability of Internet of
Things (IoT) has started to hinge on Edge computing-the ability to partly process the raw …
Things (IoT) has started to hinge on Edge computing-the ability to partly process the raw …