AIMC Topic: Attention

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Classification of schizophrenia based on RAnet-ET: resnet based attention network for eye-tracking.

Journal of neural engineering Apr 10, 2025
There is a notable need of quantifiable and objective methods for the classification of schizophrenia. Patients with schizophrenia exhibit atypical eye movements compared with healthy individuals. To address this need, we have developed a classificat...
Humans Young Adult Adult Male Neural Networks, Computer Female Eye Movements Schizophrenia Attention Middle Aged Eye-Tracking Technology
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Classroom network structure learning engagement and parallel temporal attention LSTM based knowledge tracing.

PloS one Apr 7, 2025
In order to accurately assess the students' learning process and the cognitive state of knowledge points in smart classroom. A classroom network structure learning engagement and parallel temporal attention LSTM based knowledge tracing model (CL-PTKT...
Attention Knowledge Neural Networks, Computer Algorithms Students Schools Learning Humans
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A personalized recommendation algorithm for English exercises incorporating fuzzy cognitive models and multiple attention mechanisms.

Scientific reports Apr 4, 2025
In the era of digital education, the rapid growth and disordered distribution of learning resources present new challenges for online learning. However, most of the exercise recommendation systems lack targeted guidance and personalization. In respon...
Fuzzy Logic Attention Students Cognition Humans Language Learning Algorithms
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An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network.

IEEE transactions on neural networks and learning systems Apr 4, 2025
Benefiting from the high-temporal resolution of electroencephalogram (EEG), EEG-based emotion recognition has become one of the hotspots of affective computing. For EEG-based emotion recognition systems, it is crucial to utilize state-of-the-art lear...
Machine Learning Algorithms Brain Humans Neural Networks, Computer Electroencephalography Attention Pattern Recognition, Automated Cognition Adult Emotions
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High-Performance Method and Architecture for Attention Computation in DNN Inference.

IEEE transactions on biomedical circuits and systems Apr 2, 2025
In recent years, The combination of Attention mechanism and deep learning has a wide range of applications in the field of medical imaging. However, due to its complex computational processes, existing hardware architectures have high resource consum...
Humans Neural Networks, Computer Deep Learning Attention Algorithms
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Placing Objects on Table Is Preferred over Direct Handovers When Users Are Occupied.

Sensors (Basel, Switzerland) Mar 28, 2025
Service robots commonly deliver objects through direct handovers, assuming users are fully attentive. However, in real-world scenarios, users are often occupied with other tasks. This paper investigates how user attentiveness affects preferences betw...
Attention Adult Male Robotics Female Young Adult Humans
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A vision attention driven Language framework for medical report generation.

Scientific reports Mar 28, 2025
This study introduces the Medical Vision Attention Generation (MedVAG) model, a novel framework designed to facilitate the automated generation of medical reports. MedVAG integrates Vision Transformer (ViT)-based visual feature extraction and GPT-2 l...
Natural Language Processing Attention Humans Algorithms
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Using machine learning to simultaneously quantify multiple cognitive components of episodic memory.

Nature communications Mar 24, 2025
Why do we remember some events but forget others? Previous studies attempting to decode successful vs. unsuccessful brain states to investigate this question have met with limited success, potentially due, in part, to assessing episodic memory as a u...
Attention Memory, Episodic Humans Electroencephalography Adult Algorithms Machine Learning Visual Perception Male Female Brain Cognition Young Adult
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Object Recognition Using Shape and Texture Tactile Information: A Fusion Network Based on Data Augmentation and Attention Mechanism.

IEEE transactions on haptics Mar 21, 2025
Currently, most tactile-based object recognition algorithms focus on single shape or texture recognition. However, these single attribute-based recognition methods perform poorly when dealing with objects with similar shape or texture characteristics...
Humans Neural Networks, Computer Algorithms Touch Attention Touch Perception Pattern Recognition, Automated
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EEG detection and recognition model for epilepsy based on dual attention mechanism.

Scientific reports Mar 19, 2025
In the field of clinical neurology, automated detection of epileptic seizures based on electroencephalogram (EEG) signals has the potential to significantly accelerate the diagnosis of epilepsy. This rapid and accurate diagnosis enables doctors to pr...
Attention Epilepsy Seizures Signal Processing, Computer-Assisted Humans Deep Learning Neural Networks, Computer Electroencephalography
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