Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Neuromorphic artificial intelligence systems
Modern artificial intelligence (AI) systems, based on von Neumann architecture and classical
neural networks, have a number of fundamental limitations in comparison with the …
neural networks, have a number of fundamental limitations in comparison with the …
Large-scale neuromorphic spiking array processors: A quest to mimic the brain
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information
processing that are inspired by neurobiological systems, and this feature distinguishes …
processing that are inspired by neurobiological systems, and this feature distinguishes …
Deep neural network for respiratory sound classification in wearable devices enabled by patient specific model tuning
The primary objective of this paper is to build classification models and strategies to identify
breathing sound anomalies (wheeze, crackle) for automated diagnosis of respiratory and …
breathing sound anomalies (wheeze, crackle) for automated diagnosis of respiratory and …
Spiking neural networks hardware implementations and challenges: A survey
Neuromorphic computing is henceforth a major research field for both academic and
industrial actors. As opposed to Von Neumann machines, brain-inspired processors aim at …
industrial actors. As opposed to Von Neumann machines, brain-inspired processors aim at …
White paper on critical and massive machine type communication towards 6G
The society as a whole, and many vertical sectors in particular, is becoming increasingly
digitalized. Machine Type Communication (MTC), encompassing its massive and critical …
digitalized. Machine Type Communication (MTC), encompassing its massive and critical …
Machine type communications: Key drivers and enablers towards the 6G era
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 …
support critical and massive machine type communications (MTC). However, it is already …
Integrating visual perception with decision making in neuromorphic fault-tolerant quadruplet-spike learning framework
The brain possesses the remarkable ability to seamlessly integrate perception with decision
making within a dynamically changing environment in a fault-tolerant, end-to-end manner …
making within a dynamically changing environment in a fault-tolerant, end-to-end manner …
A fast and energy-efficient SNN processor with adaptive clock/event-driven computation scheme and online learning
In the recent years, the spiking neural network (SNN) has attracted increasing attention due
to its low energy consumption and online learning potential. However, the design of SNN …
to its low energy consumption and online learning potential. However, the design of SNN …
Spiking neural network for ultralow-latency and high-accurate object detection
Spiking Neural Networks (SNNs) have attracted significant attention for their energy-efficient
and brain-inspired event-driven properties. Recent advancements, notably Spiking-YOLO …
and brain-inspired event-driven properties. Recent advancements, notably Spiking-YOLO …
A survey of neuromorphic computing-in-memory: Architectures, simulators, and security
This work is a survey of neuromorphic computing-in-memory. Unlike existing surveys that
focus on hardware or application-level perspectives, the authors elaborate on architectures …
focus on hardware or application-level perspectives, the authors elaborate on architectures …