AIMC Topic: Attention

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Propofol Anesthesia Depth Monitoring Based on Self-Attention and Residual Structure Convolutional Neural Network.

Computational and mathematical methods in medicine Jan 29, 2022
METHODS: We compare nine index values, select CNN+EEG, which has good correlation with BIS index, as an anesthesia state observation index to identify the parameters of the model, and establish a model based on self-attention and dual resistructure c...
Intraoperative Neurophysiological Monitoring Computational Biology Electroencephalography Anesthetics, Intravenous Propofol Humans Middle Aged Deep Learning Aged Adult Aged, 80 and over Male Neural Networks, Computer Young Adult Algorithms Attention
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High-accuracy, direct aberration determination using self-attention-armed deep convolutional neural networks.

Journal of microscopy Jan 25, 2022
Optical microscopes have long been essential for many scientific disciplines. However, the resolution and contrast of such microscopic images are dramatically affected by aberrations. In this study, compacted with adaptive optics, we propose a machin...
Microscopy Neural Networks, Computer Algorithms Attention Machine Learning
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AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens.

BMC genomics Jan 25, 2022
BACKGROUND: Antibiotic resistance is a growing global health concern prompting researchers to seek alternatives to conventional antibiotics. Antimicrobial peptides (AMPs) are attracting attention again as therapeutic agents with promising utility in ...
Attention Deep Learning Antimicrobial Peptides Antimicrobial Cationic Peptides World Health Organization Anti-Bacterial Agents
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A hybrid neural network for driving behavior risk prediction based on distracted driving behavior data.

PloS one Jan 25, 2022
Distracted driving behavior is one of the main factors of road accidents. Accurately predicting the risk of driving behavior is of great significance to the active safety of road transportation. The large amount of information collected by the sensor...
Distracted Driving Attention Risk-Taking Models, Biological Accidents, Traffic Humans Neural Networks, Computer
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Fast Panoptic Segmentation with Soft Attention Embeddings.

Sensors (Basel, Switzerland) Jan 20, 2022
Panoptic segmentation provides a rich 2D environment representation by unifying semantic and instance segmentation. Most current state-of-the-art panoptic segmentation methods are built upon two-stage detectors and are not suitable for real-time appl...
Semantics Image Processing, Computer-Assisted Attention Robotics Automobile Driving
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Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 12, 2022
Training deep models for RGB-D salient object detection (SOD) often requires a large number of labeled RGB-D images. However, RGB-D data is not easily acquired, which limits the development of RGB-D SOD techniques. To alleviate this issue, we present...
Humans Supervised Machine Learning Neural Networks, Computer Attention
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Attention modulates neural representation to render reconstructions according to subjective appearance.

Communications biology Jan 11, 2022
Stimulus images can be reconstructed from visual cortical activity. However, our perception of stimuli is shaped by both stimulus-induced and top-down processes, and it is unclear whether and how reconstructions reflect top-down aspects of perception...
Algorithms Female Humans Male Deep Learning Image Processing, Computer-Assisted Young Adult Adult Visual Perception Visual Cortex Magnetic Resonance Imaging Attention
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Deep Constraint-Based Propagation in Graph Neural Networks.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
The popularity of deep learning techniques renewed the interest in neural architectures able to process complex structures that can be represented using graphs, inspired by Graph Neural Networks (GNNs). We focus our attention on the originally propos...
Neural Networks, Computer Algorithms Attention
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A deep neural network model for multi-view human activity recognition.

PloS one Jan 7, 2022
Multiple cameras are used to resolve occlusion problem that often occur in single-view human activity recognition. Based on the success of learning representation with deep neural networks (DNNs), recent works have proposed DNNs models to estimate hu...
Human Activities Recognition, Psychology Humans Neural Networks, Computer Attention Memory Learning
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Acute Effects of Nicotine on Physiological Responses and Sport Performance in Healthy Baseball Players.

International journal of environmental research and public health Jan 4, 2022
There is interest in whether nicotine could enhance attention in sporting performance, but evidence on the acute effect of nicotine on physical response and sports performance in baseball players remains scant. This was an observational study to exam...
Athletic Performance Baseball Chewing Gum Nicotine Humans Attention Male
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