Results 31 to 40 of about 7,179,186 (303)

The control of attention to faces [PDF]

, 2007
Humans attend to faces. This study examines the extent to which attention biases to faces are under top-down control. In a visual cueing paradigm, observers responded faster to a target probe appearing in the location of a face cue than of a competing ...
Burton, A. Mike, Burton, A Mike, Schweinberger, Stefan R, Doherty, Martin J., Langton, Stephen R. H., Bindemann, Markus, Schweinberger, Stefan R., Doherty, Martin, Langton, Stephen   +8 more
core   +1 more source

The structure of Attention mechanism.

, 2023
The structure of Attention mechanism.
Xinjie Sun (6540701), Zhifang Liu (439137)   +1 more
core   +1 more source

Multisource Attention-Mechanism-Based Encoder–Decoder Model for Predicting Drug–Drug Interaction Events

, 2022
Many computational methods have been proposed to predict drug–drug interactions (DDIs), which can occur when combining drugs to treat various diseases, but most mainly utilize single-source features of drugs, which is inadequate for drug representation ...
Deng Pan (47215), Jingxin Xie (4470325), Zhi Jin (3742471), Taoning Chen (14197769), Lijun Quan (560152), Tingfang Wu (12696608), Qiang Lyu (4444258), Xuejiao Wang (4391032)   +7 more
core   +1 more source

Collaborative Fusion Attention Mechanism for Vehicle Fault Prediction

Future Internet
In this study, we investigate a deep learning-based vehicle fault prediction model aimed at achieving accurate prediction of vehicle faults by analyzing the correlations among different faults and the impact of critical faults on future fault development.
Hong Jia, Dalin Qian, Fanghua Chen, Wei Zhou   +3 more
doaj   +1 more source

Research on detection method of unsound brewing sorghum kernel based on deep learning [PDF]

Zhongguo niangzao
In order to overcome the problems of low efficiency, low accuracy and poor repeatability existing in the quality detection of unsound sorghum kernel in the brewing industry, a novel method based on deep learning for unsound sorghum kernel determination ...
WANG Lin, CHU Yihong, OU Jinhua, YIN Guanjun, JIANG Yuanhong, CHEN Bo, SHEN Chuan, LI Yongmeng
doaj   +1 more source

Densely attention mechanism based network for COVID-19 detection in chest X-rays

, 2023
Automatic COVID-19 detection using chest X-ray (CXR) can play a vital part in large-scale screening and epidemic control. However, the radiographic features of CXR have different composite appearances, for instance, diffuse reticular-nodular opacities ...
Latif, Siddique, Gwak, Jeonghwan, Ullah, Zahid, Usman, Muhammad   +3 more
core   +1 more source

Object and feature based modelling of attention in meeting and surveillance videos [PDF]

, 2012
MPhilThe aim of the thesis is to create and validate models of visual attention. To this extent, a novel unsupervised object detection and tracking framework has been developed by the author.
Karlsson, Stefan
core   +2 more sources

Attentional Colorization Networks with Adaptive Group-Instance Normalization

Information, 2020
We propose a novel end-to-end image colorization framework which integrates attention mechanism and a learnable adaptive normalization function. In contrast to previous colorization methods that directly generate the whole image, we believe that the ...
Yuzhen Gao, Youdong Ding, Fei Wang, Huan Liang   +3 more
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

A power equipment monitoring system based on SE-Attention image recognition model

Xi'an Gongcheng Daxue xuebao, 2021
The current power equipment monitoring is mainly based on the traditional classical neural network automatic monitoring mode, which has such problems as low accuracy and difficulty to dig out the deep information of the image, a power equipment ...
Qiyuan HE, Detai PAN, Guiliang LI, Qing LIN, Yunzhou DONG, Xiaomin LI, Zhenyu GAO   +6 more
doaj   +1 more source