AIMC Topic: Neural Networks, Computer

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Subject-Independent Wearable P300 Brain-Computer Interface Based on Convolutional Neural Network and Metric Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 25, 2024
The calibration procedure for a wearable P300 brain-computer interface (BCI) greatly impact the user experience of the system. Each user needs to spend additional time establishing a decoder adapted to their own brainwaves. Therefore, achieving subje...
Brain-Computer Interfaces Event-Related Potentials, P300 Electroencephalography Calibration Female Machine Learning Male Young Adult Algorithms Wearable Electronic Devices Adult Humans Neural Networks, Computer
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Research on variety identification of common bean seeds based on hyperspectral and deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Sep 24, 2024
Accurate, fast and non-destructive identification of varieties of common bean seeds is important for the cultivation and efficient utilization of common beans. This study is based on hyperspectral and deep learning to identify the varieties of common...
Neural Networks, Computer Algorithms Seeds Hyperspectral Imaging Deep Learning Phaseolus Support Vector Machine
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Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition.

Neural networks : the official journal of the International Neural Network Society Sep 24, 2024
Affective brain-computer interface is an important part of realizing emotional human-computer interaction. However, existing objective individual differences among subjects significantly hinder the application of electroencephalography (EEG) emotion ...
Brain-Computer Interfaces Humans Neural Networks, Computer Emotions Brain Electroencephalography
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No-reference stereoscopic image quality assessment based on binocular collaboration.

Neural networks : the official journal of the International Neural Network Society Sep 24, 2024
Stereoscopic images typically consist of left and right views along with depth information. Assessing the quality of stereoscopic/3D images (SIQA) is often more complex than that of 2D images due to scene disparities between the left and right views ...
Vision, Binocular Neural Networks, Computer Databases, Factual Visual Cortex Algorithms Imaging, Three-Dimensional Depth Perception Humans Image Processing, Computer-Assisted
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DMGNet: Depth mask guiding network for RGB-D salient object detection.

Neural networks : the official journal of the International Neural Network Society Sep 24, 2024
Though depth images can provide supplementary spatial structural cues for salient object detection (SOD) task, inappropriate utilization of depth features may introduce noisy or misleading features, which may greatly destroy SOD performance. To addre...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Humans Pattern Recognition, Automated Depth Perception
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Integrating multisource data and machine learning for supraglacial lake detection: Implications for environmental management and sustainable development goals in high mountainous regions.

Journal of environmental management Sep 24, 2024
The accurate detection and monitoring of supraglacial lakes in high mountainous regions are crucial for understanding their dynamic nature and implications for environmental management and sustainable development goals. In this study, we propose a no...
Sustainable Development Machine Learning Ice Cover Neural Networks, Computer Support Vector Machine Pakistan Environmental Monitoring Lakes
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GraphBNC: Machine Learning-Aided Prediction of Interactions Between Metal Nanoclusters and Blood Proteins.

Advanced materials (Deerfield Beach, Fla.) Sep 24, 2024
Hybrid nanostructures between biomolecules and inorganic nanomaterials constitute a largely unexplored field of research, with the potential for novel applications in bioimaging, biosensing, and nanomedicine. Developing such applications relies criti...
Neural Networks, Computer Machine Learning Protein Binding Metal Nanoparticles Molecular Dynamics Simulation Monte Carlo Method Blood Proteins Gold
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FuseLinker: Leveraging LLM's pre-trained text embeddings and domain knowledge to enhance GNN-based link prediction on biomedical knowledge graphs.

Journal of biomedical informatics Sep 24, 2024
OBJECTIVE: To develop the FuseLinker, a novel link prediction framework for biomedical knowledge graphs (BKGs), which fully exploits the graph's structural, textual and domain knowledge information. We evaluated the utility of FuseLinker in the graph...
Humans Neural Networks, Computer Machine Learning Natural Language Processing Medical Informatics Algorithms Drug Repositioning
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TW-YOLO: An Innovative Blood Cell Detection Model Based on Multi-Scale Feature Fusion.

Sensors (Basel, Switzerland) Sep 24, 2024
As deep learning technology has progressed, automated medical image analysis is becoming ever more crucial in clinical diagnosis. However, due to the diversity and complexity of blood cell images, traditional models still exhibit deficiencies in bloo...
Humans Deep Learning Image Processing, Computer-Assisted Blood Cells Neural Networks, Computer Algorithms
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Generisch-Net: A Generic Deep Model for Analyzing Human Motion with Wearable Sensors in the Internet of Health Things.

Sensors (Basel, Switzerland) Sep 24, 2024
The Internet of Health Things (IoHT) is a broader version of the Internet of Things. The main goal is to intervene autonomously from geographically diverse regions and provide low-cost preventative or active healthcare treatments. Smart wearable IMUs...
Emotions Activities of Daily Living Internet of Things Deep Learning Wearable Electronic Devices Humans Neural Networks, Computer
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