AIMC Topic: Attention

Clear Filters Showing 41 to 50 of 573 articles

EMBANet: A flexible efficient multi-branch attention network.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2025
Recent advances in the design of convolutional neural networks have shown that performance can be enhanced by improving the ability to represent multi-scale features. However, most existing methods either focus on designing more sophisticated attenti...
Neural Networks, Computer Algorithms Attention Humans
View on PubMed DOI

FLANet: A multiscale temporal convolution and spatial-spectral attention network for EEG artifact removal with adversarial training.

Journal of neural engineering Feb 4, 2025
Denoising artifacts, such as noise from muscle or cardiac activity, is a crucial and ubiquitous concern in neurophysiological signal processing, particularly for enhancing the signal-to-noise ratio in electroencephalograph (EEG) analysis. Novel metho...
Artifacts Signal-To-Noise Ratio Humans Deep Learning Neural Networks, Computer Signal Processing, Computer-Assisted Electroencephalography Attention
View on PubMed DOI

Enhanced electroencephalogram signal classification: A hybrid convolutional neural network with attention-based feature selection.

Brain research Feb 2, 2025
Accurate recognition and classification of motor imagery electroencephalogram (MI-EEG) signals are crucial for the successful implementation of brain-computer interfaces (BCI). However, inherent characteristics in original MI-EEG signals, such as non...
Male Deep Learning Neural Networks, Computer Brain Signal Processing, Computer-Assisted Attention Convolutional Neural Networks Electroencephalography Humans Brain-Computer Interfaces Imagination
View on PubMed DOI

Multi-branch convolutional neural network with cross-attention mechanism for emotion recognition.

Scientific reports Feb 1, 2025
Research on emotion recognition is an interesting area because of its wide-ranging applications in education, marketing, and medical fields. This study proposes a multi-branch convolutional neural network model based on cross-attention mechanism (MCN...
Humans Neural Networks, Computer Emotions Electroencephalography Attention Algorithms Convolutional Neural Networks
View on PubMed DOI

A comparative analysis of LSTM models aided with attention and squeeze and excitation blocks for activity recognition.

Scientific reports Jan 31, 2025
Human Activity Recognition plays a vital role in various fields, such as healthcare and smart environments. Traditional HAR methods rely on sensor or video data, but sensor-based systems have gained popularity due to their non-intrusive nature. Curre...
Human Activities Algorithms Humans Attention Neural Networks, Computer
View on PubMed DOI

Multi-Label Zero-Shot Learning Via Contrastive Label-Based Attention.

International journal of neural systems Jan 23, 2025
Multi-label zero-shot learning (ML-ZSL) strives to recognize all objects in an image, regardless of whether they are present in the training data. Recent methods incorporate an attention mechanism to locate labels in the image and generate class-spec...
Semantics Pattern Recognition, Automated Image Processing, Computer-Assisted Attention Humans Machine Learning
View on PubMed DOI

ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal.

Neural networks : the official journal of the International Neural Network Society Jan 22, 2025
Shadow removal remains a challenging visual task aimed at restoring the original brightness of shadow regions in images. Many existing methods overlook the implicit clues within non-shadow regions, leading to inconsistencies in the color, texture, an...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Attention Algorithms
View on PubMed DOI

Paying more attention on backgrounds: Background-centric attention for UAV detection.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2025
Under the advancement of artificial intelligence, Unmanned Aerial Vehicles (UAVs) exhibit efficient flexibility in military reconnaissance, traffic monitoring, and crop analysis. However, the UAV detection faces unique challenges due to the UAV's sma...
Unmanned Aerial Devices Humans Neural Networks, Computer Algorithms Artificial Intelligence Attention
View on PubMed DOI

Towards parameter-free attentional spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2025
Brain-inspired spiking neural networks (SNNs) are increasingly explored for their potential in spatiotemporal information modeling and energy efficiency on emerging neuromorphic hardware. Recent works incorporate attentional modules into SNNs, greatl...
Humans Neural Networks, Computer Attention Action Potentials Brain Neurons Models, Neurological
View on PubMed DOI

Quantum mixed-state self-attention network.

Neural networks : the official journal of the International Neural Network Society Jan 8, 2025
Attention mechanisms have revolutionized natural language processing. Combining them with quantum computing aims to further advance this technology. This paper introduces a novel Quantum Mixed-State Self-Attention Network (QMSAN) for natural language...
Attention Natural Language Processing Humans Quantum Theory Neural Networks, Computer Algorithms
View on PubMed DOI
Popular Topics
Recent Journals