AIMC Topic: Neural Networks, Computer

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Double reinforcement learning for cluster synchronization of Boolean control networks under denial of service attacks.

PloS one Jul 3, 2025
This paper investigates the asymptotic cluster synchronization of Boolean control networks (BCNs) under denial-of-service (DoS) attacks, where each state node in the network experiences random data loss following a Bernoulli distribution. First, the ...
Feedback Neural Networks, Computer Models, Theoretical Computer Security Algorithms
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Universal dimensions of visual representation.

Science advances Jul 2, 2025
Do visual neural networks learn brain-aligned representations because they share architectural constraints and task objectives with biological vision or because they share universal features of natural image processing? We characterized the universal...
Brain Mapping Vision, Ocular Visual Perception Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Brain Humans
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Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network.

BMC medical imaging Jul 2, 2025
To address misdiagnosis caused by feature coupling in multi-label medical image classification, this study introduces a chest X-ray pathology reasoning method. It combines hierarchical attention convolutional networks with a multi-label decoupling lo...
Convolutional Neural Networks Algorithms Humans Radiography, Thoracic Lung Diseases Lung Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases.

Scientific reports Jul 2, 2025
The maintenance of agricultural productivity is critically dependent on the efficient and accurate identification of plant diseases. As observed, the manual inspection to the illness is often inefficient and error-prone, particularly under conditions...
Crops, Agricultural Plant Diseases Algorithms Neural Networks, Computer Plant Leaves
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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...
Human Activities Smartphone Attention Algorithms Male Humans Deep Learning Neural Networks, Computer
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LSTM autoencoder based parallel architecture for deepfake audio detection with dynamic residual encoding and feature fusion.

Scientific reports Jul 2, 2025
With the rapid advancement of synthetic speech technologies, detecting deepfake audio has become essential for preventing impersonation and misinformation. This study aims to enhance detection performance by addressing limitations in existing models,...
Neural Networks, Computer Algorithms Speech Voice Deep Learning Autoencoder Humans
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A dual path graph neural network framework for dementia diagnosis.

Scientific reports Jul 2, 2025
Dementia typically results from damage to neural pathways and the consequent degeneration of neuronal connections. Graph neural networks (GNNs) have been widely employed to model complex brain networks. However, leveraging the complementary temporal,...
Dementia Magnetic Resonance Imaging Graph Neural Networks Nerve Net Neural Networks, Computer Humans Algorithms Brain
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Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction.

Scientific reports Jul 2, 2025
Content-based image retrieval (CBIR) systems have formidable obstacles in connecting human comprehension with machine-driven feature extraction due to the exponential expansion of visual data across many areas. Robust performance across varied datase...
Information Storage and Retrieval Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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Listening deeper: neural networks unravel acoustic features in preterm infant crying.

Scientific reports Jul 2, 2025
Early infant crying provides critical insights into neurodevelopment, with atypical acoustic features linked to conditions such as preterm birth. However, previous studies have focused on limited and specific acoustic features, hindering a more compr...
Sound Spectrography Infant, Premature Gestational Age Male Acoustics Crying Humans Female Infant, Newborn Neural Networks, Computer
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A deep learning model for early diagnosis of alzheimer's disease combined with 3D CNN and video Swin transformer.

Scientific reports Jul 2, 2025
Alzheimer's disease (AD) constitutes a neurodegenerative disorder predominantly observed in the geriatric population. If AD can be diagnosed early, both in terms of prevention and treatment, it is very beneficial to patients. Therefore, our team prop...
Neural Networks, Computer Female Aged Humans Alzheimer Disease Early Diagnosis Imaging, Three-Dimensional Magnetic Resonance Imaging Male Deep Learning
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