AIMC Topic: Bayes Theorem

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Identification of growth years for Puerariae Thomsonii Radix based on hyperspectral imaging technology and deep learning algorithm.

Scientific reports Aug 31, 2023
Puerariae Thomsonii Radix (PTR) is not only widely used in disease prevention and treatment but is also an important raw material as a source of starch and other food. The growth years of PTR are closely related to its quality. The rapid and nondestr...
Pueraria Hyperspectral Imaging Algorithms Bayes Theorem Deep Learning Quality Control
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SSVEP-Based Brain-Computer Interface Controlled Robotic Platform With Velocity Modulation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 31, 2023
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have been extensively studied due to many benefits, such as non-invasiveness, high information transfer rate, and ease of use. SSVEP-based BCI has been investigated i...
Bayes Theorem Humans Robotic Surgical Procedures Brain-Computer Interfaces Evoked Potentials, Visual Robotics
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Electroencephalogram (EEG) based prediction of attention deficit hyperactivity disorder (ADHD) using machine learning.

Applied neuropsychology. Adult Aug 30, 2023
"Attention-Deficit Hyperactivity Disorder (ADHD)" is a neuro-developmental disorder in children under 12 years old. Learning deficits, anxiety, depression, sensory processing disorder, and oppositional defiant disorder are the most frequent comorbidi...
Female Male Humans Machine Learning Child Bayes Theorem Electroencephalography Principal Component Analysis Attention Deficit Disorder with Hyperactivity
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Cycle-level traffic conflict prediction at signalized intersections with LiDAR data and Bayesian deep learning.

Accident; analysis and prevention Aug 29, 2023
Real-time safety prediction models are vital in proactive road safety management strategies. This study develops models to predict traffic conflicts at signalized intersections at the signal cycle level, using advanced Bayesian deep learning techniqu...
Deep Learning China Accidents, Traffic Bayes Theorem Humans Reproducibility of Results
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Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on a Norwegian imaging database.

PloS one Aug 24, 2023
An important step in the analysis of magnetic resonance imaging (MRI) data for neuroimaging is the automated segmentation of white matter hyperintensities (WMHs). Fluid Attenuated Inversion Recovery (FLAIR-weighted) is an MRI contrast that is particu...
Bayes Theorem Humans Alzheimer Disease Deep Learning Female Male Neuroimaging White Matter Magnetic Resonance Imaging Aged Middle Aged Leukoaraiosis
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Spatial differentiation of carbon emissions from energy consumption based on machine learning algorithm: A case study during 2015-2020 in Shaanxi, China.

Journal of environmental sciences (China) Aug 22, 2023
Carbon emissions resulting from energy consumption have become a pressing issue for governments worldwide. Accurate estimation of carbon emissions using satellite remote sensing data has become a crucial research problem. Previous studies relied on s...
Carbon China Air Pollutants Machine Learning Environmental Monitoring Bayes Theorem Algorithms Remote Sensing Technology Air Pollution
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Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2023
Sparse deep neural networks have proven to be efficient for predictive model building in large-scale studies. Although several works have studied theoretical and numerical properties of sparse neural architectures, they have primarily focused on the ...
Monte Carlo Method Bayes Theorem Neural Networks, Computer Markov Chains Algorithms
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Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation.

International journal of computer assisted radiology and surgery Aug 16, 2023
PURPOSE: Deep neural networks need to be able to indicate error likelihood via reliable estimates of their predictive uncertainty when used in high-risk scenarios, such as medical decision support. This work contributes a systematic overview of state...
Liver Bayes Theorem Neural Networks, Computer Tomography, X-Ray Computed Uncertainty Humans
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Denoising and uncertainty estimation in parameter mapping with approximate Bayesian deep image priors.

Magnetic resonance in medicine Aug 15, 2023
PURPOSE: To mitigate the problem of noisy parameter maps with high uncertainties by casting parameter mapping as a denoising task based on Deep Image Priors.
Neural Networks, Computer Image Processing, Computer-Assisted Signal-To-Noise Ratio Uncertainty Bayes Theorem
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Artificial intelligence algorithm comparison and ranking for weight prediction in sheep.

Scientific reports Aug 15, 2023
In a rapidly transforming world, farm data is growing exponentially. Realizing the importance of this data, researchers are looking for new solutions to analyse this data and make farming predictions. Artificial Intelligence, with its capacity to han...
Artificial Intelligence Machine Learning Algorithms Neural Networks, Computer Bayes Theorem Sheep Animals Support Vector Machine
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