AIMC Topic: 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,...
Algorithms Autoencoder Speech Deep Learning Humans Neural Networks, Computer Voice
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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 Humans Graph Neural Networks Nerve Net Neural Networks, Computer 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...
Image Processing, Computer-Assisted Information Storage and Retrieval Neural Networks, Computer Algorithms Deep Learning 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...
Infant, Newborn Male Sound Spectrography Humans Neural Networks, Computer Gestational Age Acoustics Infant, Premature Female Crying
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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...
Alzheimer Disease Early Diagnosis Aged Humans Male Neural Networks, Computer Imaging, Three-Dimensional Female Deep Learning Magnetic Resonance Imaging
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TDNN achitecture with efficient channel attention and improved residual blocks for accurate speaker recognition.

Scientific reports Jul 2, 2025
In recent years, with the advancement of deep learning, Convolutional Neural Networks (CNNs) have been widely applied in speaker recognition, making CNN-based speaker embedding learning the predominant method for speaker verification. Time Delay Neur...
Deep Learning Humans Neural Networks, Computer Algorithms
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DASNet a dual branch multi level attention sheep counting network.

Scientific reports Jul 2, 2025
Grassland sheep counting is essential for both animal husbandry and ecological balance. Accurate population statistics help optimize livestock management and sustain grassland ecosystems. However, traditional counting methods are time-consuming and c...
Unmanned Aerial Devices Sheep Grassland Neural Networks, Computer Animal Husbandry Deep Learning Animals
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Optimization of biological activities of Agaricus species: an artificial intelligence-assisted approach.

Scientific reports Jul 2, 2025
This study aims to determine the optimum extraction conditions that maximize the biological activities of Agaricus campestris and Agaricus bisporus species. In the study, a total of 64 extraction experiments were carried out at different temperatures...
Humans Neural Networks, Computer Antioxidants Cell Proliferation Phenols Artificial Intelligence Algorithms Agaricus A549 Cells Cholinesterase Inhibitors
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A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans.

Scientific reports Jul 2, 2025
The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis can have a positive effect on patients. Because traditional deep learning models store all their data together, they raise questions about privacy, comp...
Privacy Algorithms Federated Learning Tomography, X-Ray Computed Humans Neural Networks, Computer Deep Learning Brain Neoplasms Image Processing, Computer-Assisted
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Advancing BCI with a transformer-based model for motor imagery classification.

Scientific reports Jul 2, 2025
Brain-computer interfaces (BCIs) harness electroencephalographic signals for direct neural control of devices, offering significant benefits for individuals with motor impairments. Traditional machine learning methods for EEG-based motor imagery (MI)...
Humans Neural Networks, Computer Machine Learning Electroencephalography Brain-Computer Interfaces Imagination Algorithms Deep Learning
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