AIMC Topic: Normal Distribution

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Predictive modeling of hemoglobin refractive index using Gaussian process regression with interpretability through partial dependence plots.

PloS one May 30, 2025
Accurately predicting the refractive index of hemoglobin across various wavelengths and concentrations is critical for advancing optical diagnostic techniques in biological and clinical applications. This study introduces a predictive model based on ...
Refractometry Humans Hemoglobins Normal Distribution Regression Analysis
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Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation.

Scientific reports May 29, 2025
Growing rates of chronic wound occurrence, especially in patients with diabetes, has become a recent concerning trend. Chronic wounds are difficult and costly to treat, and have become a serious burden on health care systems worldwide. Innovative dee...
Humans Algorithms Diabetic Foot Normal Distribution Deep Learning Metadata Image Processing, Computer-Assisted
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Optimizing stroke lesion segmentation: A dual-approach using Gaussian mixture models and nnU-Net.

Computers in biology and medicine May 2, 2025
Machine learning-based stroke lesion segmentation models are widely used in biomedical imaging, but their ability to detect treatment effects remains largely unexplored. Gaussian Mixture Models (GMM) and nnU-Net are among the most prominent and well-...
Machine Learning Deep Learning Humans Stroke Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Normal Distribution Magnetic Resonance Imaging
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Addressing model discrepancy in a clinical model of the oxygen dissociation curve.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Apr 2, 2025
Many mathematical models suffer from model discrepancy, posing a significant challenge to their use in clinical decision-making. In this article, we consider methods for addressing this issue. In the first approach, a mathematical model is treated as...
Neural Networks, Computer Algorithms Humans Normal Distribution Oxygen Models, Biological
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Enhancing brain age estimation under uncertainty: A spectral-normalized neural gaussian process approach utilizing 2.5D slicing.

NeuroImage Apr 1, 2025
Brain age gap, the difference between estimated brain age and chronological age via magnetic resonance imaging, has emerged as a pivotal biomarker in the detection of brain abnormalities. While deep learning is accurate in estimating brain age, the a...
Uncertainty Image Processing, Computer-Assisted Magnetic Resonance Imaging Neuroimaging Normal Distribution Adolescent Child Middle Aged Deep Learning Female Young Adult Male Aging Adult Humans Brain
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Enhancing interdisciplinary image segmentation through a Gaussian-based modified local consensus spatial fuzzy approach.

Computers in biology and medicine Mar 22, 2025
This study aims to introduce a generic fuzzy-based approach tailored explicitly for classifying images originating from an array of diverse sources, having varying degrees of spectral and spatial resolutions, inhomogeneity, artifacts, and entirely di...
Humans Algorithms Image Processing, Computer-Assisted Fuzzy Logic Normal Distribution
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Applying Gaussian Process Machine Learning and Modern Probabilistic Programming to Satellite Data to Infer CO Emissions.

Environmental science & technology Feb 24, 2025
Satellite data provides essential insights into the spatiotemporal distribution of CO concentrations. However, many atmospheric inverse models fail to adequately incorporate the spatial and temporal correlations inherent in satellite observations and...
Machine Learning Carbon Dioxide Normal Distribution Atmosphere
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GeM: Gaussian embeddings with Multi-hop graph transfer for next POI recommendation.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2025
Next Point-of-Interest (POI) recommendation is crucial in location-based applications, analyzing user behavior patterns from historical trajectories. Existing studies usually use graph structures and attention mechanisms for sequential prediction wit...
Algorithms Normal Distribution Humans Neural Networks, Computer
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Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data.

Scientific reports Feb 18, 2025
A brain tumor is an abnormal growth of cells within the brain or surrounding tissues, which can be either benign or malignant. Brain tumors develop in various regions of the brain, each affecting different functions such as movement, speech, and visi...
Normal Distribution Humans Deep Learning Neural Networks, Computer Algorithms Linear Models Machine Learning Brain Neoplasms
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A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm.

PloS one Feb 14, 2025
In the field of robotic arm trajectory imitation learning, Gaussian Mixture Models are widely used for their ability to capture the characteristics of complex trajectories. However, one major challenge in utilizing these models lies in the initializa...
Arm Normal Distribution Computer Simulation Humans Robotics Algorithms
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