Articles with "network attention" as a keyword



Sleep Behavior Detection Based on Pseudo-3D Convolutional Neural Network and Attention Mechanism

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3201496

Abstract: Good sleep quality is very important for everyone to protect physical and mental health. People’s sleep behavior at night reflects their sleep status. In this paper, we propose a method to detect people’s sleep behavior… read more here.

Keywords: attention mechanism; neural network; network; sleep behavior ... See more keywords

Multi-ResAtt: Multilevel Residual Network With Attention for Human Activity Recognition Using Wearable Sensors

Sign Up to like & get
recommendations!
Published in 2023 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2022.3165875

Abstract: Human activity recognition (HAR) applications have received much attention due to their necessary implementations in various domains, including Industry 5.0 applications such as smart homes, e-health, and various Internet of Things applications. Deep learning (DL)… read more here.

Keywords: attention; network attention; activity recognition; multi resatt ... See more keywords
Photo from wikipedia

Early Fault Detection Method of Rolling Bearing Based on MCNN and GRU Network with an Attention Mechanism

Sign Up to like & get
recommendations!
Published in 2021 at "Shock and Vibration"

DOI: 10.1155/2021/6660243

Abstract: Aiming at the problem of early fault diagnosis of rolling bearing, an early fault detection method of rolling bearing based on a multiscale convolutional neural network and gated recurrent unit network with attention mechanism (MCNN-AGRU)… read more here.

Keywords: fault; method; network attention; rolling bearing ... See more keywords

Spatial Analysis of Network Attention on Tourism Resources for Sustainable Tourism Development in Western Hunan, China: A Multi-Source Data Approach

Sign Up to like & get
recommendations!
Published in 2025 at "Sustainability"

DOI: 10.3390/su17020744

Abstract: Understanding the tourism resource network attention is crucial for promoting sustainable tourism development. This study utilized multi-source data to assess tourism resource network attention in Western Hunan, with GIS spatial analysis and the Geodetector method… read more here.

Keywords: tourism; development; network attention; resource ... See more keywords