AIMC Topic: Deep Learning

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Simultaneous EEG-fNIRS Data Classification Through Selective Channel Representation and Spectrogram Imaging.

IEEE journal of translational engineering in health and medicine Aug 23, 2024
The integration of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) can facilitate the advancement of brain-computer interfaces (BCIs). However, existing research in this domain has grappled with the challenge of the eff...
Spectroscopy, Near-Infrared Deep Learning Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Brain Female Adult Male
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VT-3DCapsNet: Visual tempos 3D-Capsule network for video-based facial expression recognition.

PloS one Aug 23, 2024
Facial expression recognition(FER) is a hot topic in computer vision, especially as deep learning based methods are gaining traction in this field. However, traditional convolutional neural networks (CNN) ignore the relative position relationship of ...
Facial Recognition Humans Neural Networks, Computer Deep Learning Video Recording Imaging, Three-Dimensional Automated Facial Recognition Emotions Facial Expression
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Impact of Emerging Deep Learning-Based MR Image Reconstruction Algorithms on Abdominal MRI Radiomic Features.

Journal of computer assisted tomography Aug 22, 2024
OBJECTIVE: This study aims to evaluate, on one MRI vendor's platform, the impact of deep learning (DL)-based reconstruction techniques on MRI radiomic features compared to conventional image reconstruction techniques.
Young Adult Adult Radiomics Female Aged Adolescent Child, Preschool Child Male Middle Aged Deep Learning Humans Algorithms Prospective Studies Magnetic Resonance Imaging Image Processing, Computer-Assisted Abdomen
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Sugarcane disease recognition through visible and near-infrared spectroscopy using deep learning assisted continuous wavelet transform-based spectrogram.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Aug 22, 2024
Utilizing visible and near-infrared (Vis-NIR) spectroscopy in conjunction with chemometrics methods has been widespread for identifying plant diseases. However, a key obstacle involves the extraction of relevant spectral characteristics. This study a...
Spectroscopy, Near-Infrared Deep Learning Saccharum Plant Leaves Plant Diseases Least-Squares Analysis Wavelet Analysis Discriminant Analysis
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Chemometrics methods, sensory evaluation and intelligent sensory technologies combined with GAN-based integrated deep-learning framework to discriminate salted goose breeds.

Food chemistry Aug 22, 2024
The authenticity of salted goose products is concerning for consumers. This study describes an integrated deep-learning framework based on a generative adversarial network and combines it with data from headspace solid phase microextraction/gas chrom...
Chemometrics Geese Electronic Nose Humans Animals Deep Learning Volatile Organic Compounds Solid Phase Microextraction Gas Chromatography-Mass Spectrometry Breeding Taste
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Inter-participant transfer learning with attention based domain adversarial training for P300 detection.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
A Brain-computer interface (BCI) system establishes a novel communication channel between the human brain and a computer. Most event related potential-based BCI applications make use of decoding models, which requires training. This training process ...
Humans Neural Networks, Computer Deep Learning Electroencephalography Event-Related Potentials, P300 Attention Brain-Computer Interfaces
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Hybrid similarity based feature selection and cascade deep maxout fuzzy network for Autism Spectrum Disorder detection using EEG signal.

Computational biology and chemistry Aug 22, 2024
Autism Spectrum Disorder (ASD) is a neurological disorder that influences a person's comprehension and way of behaving. It is a lifetime disability that cannot be completely treated using any therapy up to date. Nevertheless, in time identification a...
Autism Spectrum Disorder Deep Learning Fuzzy Logic Humans Electroencephalography Neural Networks, Computer
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A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
Metasurfaces have widespread applications in fifth-generation (5G) microwave communication. Among the metasurface family, free-form metasurfaces excel in achieving intricate spectral responses compared to regular-shape counterparts. However, conventi...
Deep Learning Microwaves Neural Networks, Computer Algorithms
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Attention-based stackable graph convolutional network for multi-view learning.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
In multi-view learning, graph-based methods like Graph Convolutional Network (GCN) are extensively researched due to effective graph processing capabilities. However, most GCN-based methods often require complex preliminary operations such as sparsif...
Deep Learning Attention Humans Neural Networks, Computer Algorithms
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On the application of hybrid deep 3D convolutional neural network algorithms for predicting the micromechanics of brain white matter.

Computer methods and programs in biomedicine Aug 22, 2024
BACKGROUND: Material characterization of brain white matter (BWM) is difficult due to the anisotropy inherent to the three-dimensional microstructure and the various interactions between heterogeneous brain-tissue (axon, myelin, and glia). Developing...
Finite Element Analysis Humans Anisotropy Neural Networks, Computer Deep Learning Imaging, Three-Dimensional White Matter Algorithms Brain
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