AIMC Topic: Attention

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Automatic detection of cognitive events using machine learning and understanding models' interpretations of human cognition.

Scientific reports Aug 20, 2025
The pupillary response is a valuable indicator of cognitive workload, capturing fluctuations in attention and arousal governed by the autonomic nervous system. Cognitive events, defined as the initiation of mental processes, are closely linked to cog...
Young Adult Adult Male Machine Learning Female Attention Pupil Arousal Cognition Emotions Memory, Short-Term Humans
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An interactive information based DCNN-BiLSTM model with dual attention mechanism for facial expression recognition.

Scientific reports Jul 19, 2025
Human's facial expressions and emotions have direct impact on their action and decision-making abilities. Basic CNN models are complexity of speeding up the operation to minimize the complexity. In this paper, we have proposed a Deep Convolutional Ne...
Attention Automated Facial Recognition Facial Expression Facial Recognition Humans Neural Networks, Computer Algorithms
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Attention-based multimodal deep learning for interpretable and generalizable prediction of pathological complete response in breast cancer.

Journal of translational medicine Jul 10, 2025
BACKGROUND: Accurate prediction of pathological complete response (pCR) to neoadjuvant chemotherapy has significant clinical utility in the management of breast cancer treatment. Although multimodal deep learning models have shown promise for predict...
Humans Female Middle Aged Deep Learning Treatment Outcome Reproducibility of Results Adult Breast Neoplasms Magnetic Resonance Imaging Attention
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The application of improved AFCNN model for children's psychological emotion recognition.

Scientific reports Jul 6, 2025
Children's mental health has become an increasingly prominent concern in modern education. However, insufficient attention from schools and families to children's psychological and emotional issues has exacerbated the problem. This study proposes a p...
Attention Child Emotions Humans Neural Networks, Computer Female Male
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A human activity recognition model based on deep neural network integrating attention mechanism.

Scientific reports Jul 2, 2025
Human Activity Recognition (HAR) is crucial in multiple fields. Existing HAR techniques include manual feature extraction, codebook-based methods, and deep learning, each with limitations. This paper presents DCAM-Net (DeepConvAttentionMLPNet), a nov...
Humans Neural Networks, Computer Human Activities Deep Learning Smartphone Attention Algorithms Male
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Attentional responses in toddlers: A protocol for assessing the impact of a robotic animated animal and a real dog.

PloS one Jul 2, 2025
BACKGROUND: Attentional processes in toddlers are characterized by a state of alertness in which they focus their waking state for short periods. It is essential to develop assessment and attention stimulation protocols from an early age to improve t...
Photic Stimulation Robotics Dogs Attention Child, Preschool Cognition Humans Female Animals Male Infant
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Super-resolution of 3D medical images by generative adversarial networks with long and short-term memory and attention.

Scientific reports Jul 1, 2025
Since 3D medical imaging data is a string of sequential images, there is a strong correlation between consecutive images. Deep convolutional networks perform well in extracting spatial features, but are less capable for processing sequence data compa...
Memory, Short-Term Generative Adversarial Networks Algorithms Attention Humans Imaging, Three-Dimensional Neural Networks, Computer Image Processing, Computer-Assisted
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A fake news detection model using the integration of multimodal attention mechanism and residual convolutional network.

Scientific reports Jul 1, 2025
To improve the accuracy and efficiency of fake news detection, this study proposes a deep learning model that integrates residual networks with attention mechanisms. Building on traditional convolutional neural networks, the model incorporates multi-...
Attention Deep Learning Social Media Humans Neural Networks, Computer
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EmoTrans attention based emotion recognition using EEG signals and facial analysis with expert validation.

Scientific reports Jul 1, 2025
Emotion recognition via EEG signals and facial analysis becomes one of the key aspects of human-computer interaction and affective computing, enabling scientists to gain insight into the behavior of humans. Classic emotion recognition methods usually...
Facial Recognition Facial Expression Humans Arousal Emotions Young Adult Female Electroencephalography Adult Male Attention
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Comparative analysis of attentional mechanisms in rice pest identification.

Scientific reports Jul 1, 2025
Accurate detection of rice pests helps farmers take timely control measures. This study compares different attention mechanisms for rice pest detection in complex backgrounds and demonstrates that a human vision-inspired Bionic Attention (BA) mechani...
Oryza Attention Bionics Humans Neural Networks, Computer
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