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A Defect Data Compensation Model for Infrared Thermal Imaging Based on Bi-LSTM with Attention Mechanism
The infrared thermal imager presents unique advantages in plate fault detection and prediction. However, during the data collection process, three...
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An attention mechanism model based on positional encoding for the prediction of ship maneuvering motion in real sea state
This paper proposes an positional encoding-based attention mechanism model which can quantify the temporal correlation of ship maneuvering motion to...
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A hybrid depression detection model and correlation analysis for social media based on attention mechanism
As a serious mental illness, depression can be extremely harmful to the physical and mental health of individuals. However, detecting depression can...
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A data decomposition and attention mechanism-based hybrid approach for electricity load forecasting
An accurate and reliable prediction of future energy patterns is of utmost significance for the smooth operation of several related activities such...
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Fake News Detection in Social Networks Using Attention Mechanism
Online social networks (OSNs) play a vital role in society by connecting people, but their credibility and reliability are questionable due to...
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A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism
In practical engineering applications, the working load of the rotor system is changing constantly, and the noise pollution of its working...
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Building on prior lightweight CNN model combined with LSTM-AM framework to guide fault detection in fixed-wing UAVs
Fixed-wing UAVs (FW-UAVs) are empowered to handle diverse civilian and military missions, but sensor failure scenarios are constantly rising. Rapid...
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VMD and self-attention mechanism-based Bi-LSTM model for fault detection of optical fiber composite submarine cables
As the main electrical equipment of offshore power grids, optical fiber composite submarine cables undertake the task of power transmission and data...
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Learning to Pay Attention by Paying Attention
Deep learning approaches can learn the map** function from the MRI to the CT domain and thus can be used to synthesize pseudo-CTs. However, such...
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Skeleton-based 3D human pose estimation with low-resolution infrared array sensor using attention based CNN-BiGRU
Human sensing based on the low-resolution infrared sensor is widely used in hand gestures recognition, activity recognition, intrusion detection,...
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Predicting the Wildland Fire Spread Using a Mixed-Input CNN Model with Both Channel and Spatial Attention Mechanisms
The prediction of wildfire spreading is necessary for managing and fighting the forest fire. The traditional models require higher accuracy of the...
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A New Pulmonary Nodule Detection Based on Multiscale Convolutional Neural Network with Channel and Attention Mechanism
In this stage of pulmonary nodules image processing, the pulmonary nodule detection and recognition based on 3D CNN has achieved great success in...
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Forecasting measured responses of structures using temporal deep learning and dual attention
The objective of this study is to develop a novel and efficient model for forecasting the nonlinear behavior of structures in response to...
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Retinal Blood Vessel Segmentation Using an EDADCN Architecture—Encoder–Decoder Architecture with Dilated Convolutions and Attention Mechanism
The diagnosis and treatment of different retinal diseases depend heavily on the ability to segment retinal blood vessels. Deep learning approaches...
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An Improved Query Similarity Model for Online Health Community Forum Using Cross-Attention Mechanism on Siamese Network
Nowadays, many users join online health community forums to seek information, acquire knowledge, and hear how patients handle similar illnesses....
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LSTM with spatiotemporal attention for IoT-based wireless sensor collected hydrological time-series forecasting
It is necessary to accurately assess the inflow and infiltration conditions in sewer systems if sewer overflows are to be avoided. In this regard,...
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Code recommendation based on joint embedded attention network
Due to the heterogeneity of program language and natural language query, it is difficult to identify the semantic relationship between them, which...
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Dual-attention Network for View-invariant Action Recognition
View-invariant action recognition has been widely researched in various applications, such as visual surveillance and human–robot interaction....
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Research on real-time teachers’ facial expression recognition based on YOLOv5 and attention mechanisms
Studying the real-time face expression state of teachers in class was important to build an objective classroom teaching evaluation system based on...
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Introductıon History of Mechanism Design
In this Chapter a brief history on how the machine science has developed through out history will be discussed from the viewpoint of mechanism...