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 …
A fault detection and diagnosis system for autonomous vehicles based on hybrid approaches
An accurate fault detection and diagnosis system is of great importance for autonomous
vehicles to prevent the potential hazardous situations. In this paper, we propose a fault …
vehicles to prevent the potential hazardous situations. In this paper, we propose a fault …
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 …
Wireless Compact Neural Interface for Freely Moving Animal Subjects: A Review on Wireless Neural Interface SoC Designs
Neural interfaces play an important role in vital sign monitoring, clinical practice, and
neuroscience frontier research using animal subjects, such as rodents and nonhuman …
neuroscience frontier research using animal subjects, such as rodents and nonhuman …
Autocorrelation integrated gaussian based anomaly detection using sensory data in industrial manufacturing
In industrial processes, early detection of anomalies is crucial for reducing process failures,
meeting the quality assurance (QA) requirements, and lowering raw material wastage …
meeting the quality assurance (QA) requirements, and lowering raw material wastage …
A 51.3-TOPS/W, 134.4-GOPS in-memory binary image filtering in 65-nm CMOS
Neuromorphic vision sensors (NVSs) can enable energy savings due to their event-driven
that exploits the temporal redundancy in video streams from a stationary camera. However …
that exploits the temporal redundancy in video streams from a stationary camera. However …
A Pythagorean fuzzy Petri net based security assessment model for civil aviation airport security inspection information system
H Yang, Y Feng - International Journal of Intelligent Systems, 2021 - Wiley Online Library
This paper investigates the problem of the existing information system security situation
assessment models that are less concerned about fuzzy factors and lack of reasoning. First …
assessment models that are less concerned about fuzzy factors and lack of reasoning. First …
Low-Power and Low-Cost AI Processor with Distributed-Aggregated Classification Architecture for Wearable Epilepsy Seizure Detection
Wearable devices with continuous monitoring capabilities are critical for the daily detection
of epileptic seizures, as they provide users with accurate and comprehensible analytical …
of epileptic seizures, as they provide users with accurate and comprehensible analytical …
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 …
Low power unsupervised anomaly detection by nonparametric modeling of sensor statistics
A Shylendra, P Shukla… - … Transactions on Very …, 2020 - ieeexplore.ieee.org
This article presents anomaly detection by examining sensor stream statistics (AEGIS), a
novel mixed-signal framework for real-time AEGIS. AEGIS utilizes kernel density estimation …
novel mixed-signal framework for real-time AEGIS. AEGIS utilizes kernel density estimation …