AIMC Topic: Attention

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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...
Male Deep Learning Attention Human Activities Smartphone Neural Networks, Computer Humans Algorithms
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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...
Animals Male Infant Humans Female Dogs Cognition Attention Robotics Child, Preschool Photic Stimulation
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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...
Generative Adversarial Networks Algorithms Imaging, Three-Dimensional Memory, Short-Term Humans Image Processing, Computer-Assisted Attention Neural Networks, Computer
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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 Neural Networks, Computer Deep Learning Social Media Humans
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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...
Electroencephalography Attention Facial Expression Male Emotions Arousal Facial Recognition Humans Young Adult Adult Female
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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...
Humans Neural Networks, Computer Oryza Attention Bionics
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Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition.

Scientific reports Jun 26, 2025
Arabic sign language (ArSL) is a visual-manual language which facilitates communication among Deaf people in the Arabic-speaking nations. Recognizing the ArSL is crucial due to variety of reasons, including its impact on the Deaf populace, education,...
Humans Algorithms Sign Language Deep Learning Attention
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Smartphone eye-tracking with deep learning: Data quality and field testing.

Behavior research methods Jun 18, 2025
Eye-tracking is widely used to measure human attention in research, commercial, and clinical applications. With the rapid advancements in artificial intelligence and mobile computing, deep learning algorithms for computer vision-based eye tracking ha...
Attention Eye-Tracking Technology Young Adult Deep Learning Data Accuracy Eye Movements Humans Adult Depression Smartphone Female Male
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Emergence of human-like attention and distinct head clusters in self-supervised vision transformers: A comparative eye-tracking study.

Neural networks : the official journal of the International Neural Network Society May 21, 2025
Visual attention models aim to predict human gaze behavior, yet traditional saliency models and deep gaze prediction networks face limitations. Saliency models rely on handcrafted low-level visual features, often failing to capture human gaze dynamic...
Attention Head Fixation, Ocular Eye-Tracking Technology Deep Learning Supervised Machine Learning Humans Neural Networks, Computer
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S2LIC: Learned image compression with the SwinV2 block, Adaptive Channel-wise and Global-inter attention Context.

Neural networks : the official journal of the International Neural Network Society May 19, 2025
Recently, deep learning technology has been successfully applied in the field of image compression, leading to superior rate-distortion performance. It is crucial to design an effective and efficient entropy model to estimate the probability distribu...
Humans Neural Networks, Computer Algorithms Deep Learning Data Compression Attention Image Processing, Computer-Assisted Entropy
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