AIMC Topic: Neural Networks, Computer

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Explainable Classification of Benign-Malignant Pulmonary Nodules With Neural Networks and Information Bottleneck.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Computerized tomography (CT) is a clinically primary technique to differentiate benign-malignant pulmonary nodules for lung cancer diagnosis. Early classification of pulmonary nodules is essential to slow down the degenerative process and reduce mort...
Solitary Pulmonary Nodule Neural Networks, Computer Algorithms Tomography, X-Ray Computed Lung Neoplasms Databases, Factual Humans
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Community Graph Convolution Neural Network for Alzheimer's Disease Classification and Pathogenetic Factors Identification.

IEEE transactions on neural networks and learning systems Feb 6, 2025
As a complex neural network system, the brain regions and genes collaborate to effectively store and transmit information. We abstract the collaboration correlations as the brain region gene community network (BG-CN) and present a new deep learning a...
Neural Networks, Computer Algorithms Brain Humans Neuroimaging Deep Learning Alzheimer Disease
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LazyAct: Lazy actor with dynamic state skip based on constrained MDP.

PloS one Feb 6, 2025
Deep reinforcement learning has achieved significant success in complex decision-making tasks. However, the high computational cost of policies based on deep neural networks restricts their practical application. Specifically, each decision made by a...
Decision Making Algorithms Humans Neural Networks, Computer Deep Learning
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Machine learning-based analyzing earthquake-induced slope displacement.

PloS one Feb 6, 2025
Accurately evaluating earthquake-induced slope displacement is a key factor for designing slopes that can effectively respond to seismic activity. This study evaluates the capabilities of various machine learning models, including artificial neural n...
Humans Earthquakes Machine Learning Neural Networks, Computer Support Vector Machine
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Segmentation of cortical bone, trabecular bone, and medullary pores from micro-CT images using 2D and 3D deep learning models.

Anatomical record (Hoboken, N.J. : 2007) Feb 5, 2025
Computed tomography (CT) enables rapid imaging of large-scale studies of bone, but those datasets typically require manual segmentation, which is time-consuming and prone to error. Convolutional neural networks (CNNs) offer an automated solution, ach...
Neural Networks, Computer Animals X-Ray Microtomography Deep Learning Cortical Bone Imaging, Three-Dimensional Cancellous Bone
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Developing a three-dimensional convolutional neural network for automated full-volume multi-tissue segmentation of the shoulder with comparisons to Goutallier classification and partial volume muscle quality analysis.

Journal of shoulder and elbow surgery Feb 5, 2025
BACKGROUND: Preoperative intramuscular fat (IMF) is a strong predictor of tendon failure after a rotator cuff repair. Due to the contemporary labor intensive and time-dependent manual segmentation required for quantitative assessment of IMF, clinical...
Humans Neural Networks, Computer Rotator Cuff Adipose Tissue Male Rotator Cuff Injuries Reproducibility of Results Middle Aged Imaging, Three-Dimensional Retrospective Studies Convolutional Neural Networks Aged Magnetic Resonance Imaging Female
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Fuzzy spatiotemporal event-triggered control for the synchronization of IT2 T-S fuzzy CVRDNNs with mini-batch machine learning supervision.

Neural networks : the official journal of the International Neural Network Society Feb 5, 2025
This paper is centered on the development of a fuzzy memory-based spatiotemporal event-triggered mechanism (FMSETM) for the synchronization of the drive-response interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy complex-valued reaction-diffusion neural...
Machine Learning Algorithms Humans Neural Networks, Computer Fuzzy Logic Computer Simulation Supervised Machine Learning
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GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series.

Neural networks : the official journal of the International Neural Network Society Feb 5, 2025
Accurate prediction of future blood glucose (BG) levels can effectively improve BG management for people living with type 1 or 2 diabetes, thereby reducing complications and improving quality of life. The state of the art of BG prediction has been ac...
Diabetes Mellitus, Type 2 Diabetes Mellitus, Type 1 Deep Learning Recurrent Neural Networks Humans Blood Glucose Neural Networks, Computer Time Factors
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Multi-level social network alignment via adversarial learning and graphlet modeling.

Neural networks : the official journal of the International Neural Network Society Feb 5, 2025
Aiming to identify corresponding users in different networks, social network alignment is significant for numerous subsequent applications. Most existing models apply consistency assumptions on undirected networks, ignoring platform disparity caused ...
Social Networking Machine Learning Algorithms Humans Neural Networks, Computer
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Fruit wines classification enabled by combing machine learning with comprehensive volatiles profiles of GC-TOF/MS and GC-IMS.

Food research international (Ottawa, Ont.) Feb 5, 2025
Fruit wines, produced through the fermentation of various fruits, are well-documented for their distinct flavor profiles. Intelligent sensory analysis, GC-TOF/MS and GC-IMS were used for the analysis of the volatile profile of eight types of fruit wi...
Machine Learning Wine Vitis Neural Networks, Computer Fermentation Taste Blueberry Plants Volatile Organic Compounds Fruit Prunus persica Gas Chromatography-Mass Spectrometry
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