AIMC Topic: Attention

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Detection of freely moving thoughts using SVM and EEG signals.

Journal of neural engineering Mar 19, 2025
Freely moving thought is a type of thinking that shifts from one topic to another without any overarching direction or aim. The ability to detect when freely moving thought occurs may help us promote its beneficial outcomes, such as for creative thin...
Male Support Vector Machine Electroencephalography Attention Thinking Female Young Adult Adult Humans
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Optimized attention-enhanced U-Net for autism detection and region localization in MRI.

Psychiatry research. Neuroimaging Mar 14, 2025
Autism spectrum disorder (ASD) is a neurodevelopmental condition that affects a child's cognitive and social skills, often diagnosed only after symptoms appear around age 2. Leveraging MRI for early ASD detection can improve intervention outcomes. Th...
Deep Learning Child Magnetic Resonance Imaging Attention Image Interpretation, Computer-Assisted Neuroimaging Autism Spectrum Disorder Sensitivity and Specificity Male Humans
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Dual-pathway EEG model with channel attention for virtual reality motion sickness detection.

Journal of neuroscience methods Mar 12, 2025
BACKGROUND: Motion sickness has been a key factor affecting user experience in Virtual Reality (VR) and limiting the development of the VR industry. Accurate detection of Virtual Reality Motion Sickness (VRMS) is a prerequisite for solving the proble...
Brain Female Young Adult Humans Neural Networks, Computer Electroencephalography Signal Processing, Computer-Assisted Attention Adult Male Virtual Reality Motion Sickness
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A Novel Explainable Attention-Based Meta-Learning Framework for Imbalanced Brain Stroke Prediction.

Sensors (Basel, Switzerland) Mar 11, 2025
The accurate prediction of brain stroke is critical for effective diagnosis and management, yet the imbalanced nature of medical datasets often hampers the performance of conventional machine learning models. To address this challenge, we propose a n...
Attention Humans Artificial Intelligence Machine Learning Brain Algorithms Deep Learning Stroke
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Classifying metro drivers' cognitive distractions during manual operations using machine learning and random forest-recursive feature elimination.

Scientific reports Mar 4, 2025
Metro drivers are more likely to trigger accidents if they suffer from cognitive distractions during manual driving. However, identifying metro drivers' cognitive distractions faces challenges as generally no obvious behavior can be found during the ...
Female Adult Humans Male Machine Learning Algorithms Attention Cognition Heart Rate Electrocardiography Automobile Driving Random Forest
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Frequency-Assisted Local Attention in Lower Layers of Visual Transformers.

International journal of neural systems Feb 28, 2025
Since vision transformers excel at establishing global relationships between features, they play an important role in current vision tasks. However, the global attention mechanism restricts the capture of local features, making convolutional assistan...
Visual Perception Neural Networks, Computer Humans Attention
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Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models.

Scientific reports Feb 27, 2025
Amyotrophic lateral sclerosis (ALS) is a fatal neurological disease marked by motor deterioration and cognitive decline. Early diagnosis is challenging due to the complexity of sporadic ALS and the lack of a defined risk population. In this study, we...
Middle Aged Early Diagnosis Humans Deep Learning Neuroimaging Neural Networks, Computer Amyotrophic Lateral Sclerosis Cognitive Dysfunction Aged Brain Attention Male Female Frontotemporal Dementia
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Attention-augmented multi-domain cooperative graph representation learning for molecular interaction prediction.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2025
Accurate identification of molecular interactions is crucial for biological network analysis, which can provide valuable insights into fundamental regulatory mechanisms. Despite considerable progress driven by computational advancements, existing met...
Humans Neural Networks, Computer Computational Biology Machine Learning Attention Algorithms
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A novel deep learning model combining 3DCNN-CapsNet and hierarchical attention mechanism for EEG emotion recognition.

Neural networks : the official journal of the International Neural Network Society Feb 18, 2025
Emotion recognition plays a key role in the field of human-computer interaction. Classifying and predicting human emotions using electroencephalogram (EEG) signals has consistently been a challenging research area. Recently, with the increasing appli...
Deep Learning Emotions Electroencephalography Attention Humans Neural Networks, Computer
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Image captioning in Bengali language using visual attention.

PloS one Feb 13, 2025
Automatically generating image captions poses one of the most challenging applications within artificial intelligence due to its integration of computer vision and natural language processing algorithms. This task becomes notably more formidable when...
Natural Language Processing Humans Algorithms Attention Artificial Intelligence Language Image Processing, Computer-Assisted
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