STA-HAR: A Spatiotemporal Attention-Based Framework for Human Activity Recognition by Md. Khaliluzzaman, Md. Furquan, Mohammod Sazid Zaman Khan, Md. Jiabul Hoque

“…Human activity recognition (HAR) has gained significant attention in computer vision and human-computer interaction. …”
Get full text

Application Research of Cross-Attention Mechanism for Traffic Prediction Based on Heterogeneous Data by Feng Zhihao

“…This review highlights the significance of cross-attention mechanisms by examining the developments in integrating multi-source heterogeneous event data for traffic prediction. …”
Get full text

Mask-wearing affects infants' selective attention to familiar and unfamiliar audiovisual speech by Lauren N. Slivka, Kenna R. H. Clayton, Greg D. Reynolds

Subjects: Get full text

LASSO–MOGAT: a multi-omics graph attention framework for cancer classification by Fadi Alharbi, Aleksandar Vakanski, Murtada K. Elbashir, Mohanad Mohammed

“…Experimental validation using fivefold cross-validation demonstrates the method’s precision, reliability, and capacity to provide comprehensive insights into cancer molecular mechanisms. The computation of attention coefficients for the edges in the graph, facilitated by the proposed graph attention architecture based on PPIs, proved beneficial for identifying synergies in multi-omics data for cancer classification.…”
Get full text

Triple-attentions based salient object detector for strip steel surface defects by Li Zhang, Xirui Li, Yange Sun, Huaping Guo

Subjects: “…Triple attention…”
Get full text

Evaluation and Prediction Method of Rolling Bearing Performance Degradation Based on Attention-LSTM by Yaping Wang, Chaonan Yang, Di Xu, Jianghua Ge, Wei Cui

“…However, the degradation stage division of the rolling bearing performance is not obvious in traditional methods, and the prediction accuracy is low. Therefore, an Attention-LSTM method is proposed to improve the evaluation and prediction of the performance degradation of rolling bearings. …”
Get full text

A generative adversarial network with multiscale and attention mechanisms for underwater image enhancement by Liquan Zhao, Yuda Li, Tie Zhong

Subjects: “…Feature fusion adaptive attention module…”
Get full text

‘An Important Exercise of Care and Attention’: How the International Geological Expedition Was Established in Mongolia by Narma A. Kamandzhaev

Get full text

Mapping Internet Celebrity on TikTok: Exploring Attention Economies and Visibility Labours by Abidin Crystal

Subjects: Get full text

A simplified model of the process of medical attention. Assistance, educational and investigative implications by Luis Alberto Corona Martínez, Mercedes Fonseca Hernández

“…The process of medical attention constitutes a learning object for the student of Medicine. …”
Get full text

Key n-Gram Extractions and Analyses of Different Registers Based on Attention Network by Haiyan Wu, Ying Liu, Shaoyun Shi, Qingfeng Wu, Yunlong Huang

“…By summarizing the advantages and disadvantages of existing models, we propose a novel key n-gram extraction model “attentive n-gram network” (ANN) based on the attention mechanism and multilayer perceptron, in which the attention mechanism scores each n-gram in a sentence by mining the internal semantic relationship between words, and their importance is given by the scores. …”
Get full text

Attention and sentiment of Chinese public toward rural landscape based on Sina Weibo by Jinji Zhang, Guanghu Jin, Yang Liu, Xiyue Xue

“…The research reveals that the Chinese public’s attention to rural landscapes has significantly increased with the evolution of government governance concepts. …”
Get full text

Semantic-enhanced panoptic scene graph generation through hybrid and axial attentions by Xinhe Kuang, Yuxin Che, Huiyan Han, Yimin Liu

Subjects: Get full text

Efficient Lane Detection Technique Based on Lightweight Attention Deep Neural Network by Zhiting Yao, Xiyuan Chen

“…Based on the attributes of disparate feature resolution characteristics, different attention mechanisms are adopted to guide the network to effectively exploit the model parameters. …”
Get full text

Prenatal Acetaminophen Exposure and its Associated Risk for Attention Deficit Hyperactivity Disorder by Noah J. Spillers, Norris C. Talbot, Patrick M. Luther, Gianni H. Ly, Caylin J. Roberts, Shahab Ahmadzadeh, Sahar Shekoohi, Omar Viswanath, Alan D. Kaye

Get full text

Multi scale multi attention network for blood vessel segmentation in fundus images by Giri Babu Kande, Madhusudana Rao Nalluri, R. Manikandan, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

“…In this paper, we introduce a novel approach, the MSMA Net model, which overcomes these challenges by replacing traditional convolution blocks and skip connections with an improved multi-scale squeeze and excitation block (MSSE Block) and Bottleneck residual paths (B-Res paths) with spatial attention blocks (SAB). Our experimental findings on publicly available datasets of fundus images, specifically DRIVE, STARE, CHASE_DB1, HRF and DR HAGIS consistently demonstrate that our approach outperforms other segmentation techniques, achieving higher accuracy, sensitivity, Dice score, and area under the receiver operator characteristic (AUC) in the segmentation of blood vessels with different thicknesses, even in situations involving diverse contextual information, the presence of coexisting lesions, and intricate vessel morphologies.…”
Get full text

Medical image segmentation based on frequency domain decomposition SVD linear attention by Liu Qiong, Li Chaofan, Teng Jinnan, Chen Liping, Song Jianxiang

“…During attention feature computation, we introduce Singular Value Decomposition (SVD) to extract an effective representation matrix from the original image, which is then applied in the attention computation process for linear projection. …”
Get full text

An attention based residual U-Net with swin transformer for brain MRI segmentation by Tazkia Mim Angona, M. Rubaiyat Hossain Mondal

Subjects: Get full text

Concatenated Attention: A Novel Method for Regulating Information Structure Based on Sensors by Zeyu Zhang, Tianqi Chen, Yuki Todo

Subjects: “…self-attention…”
Get full text

An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection by Muhammad Altaf, Muhammad Yasir, Naqqash Dilshad, Wooseong Kim

“…In the subsequent phase, the proposed network utilizes an attention-based deep neural network (DNN) named Xception for detailed feature selection while reducing the computational cost, followed by adaptive spatial attention (ASA) to further enhance the model’s focus on a relevant spatial feature in the training data. …”
Get full text