AIMC Topic: Bayes Theorem

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Uncertainty Estimation Using Variational Mixture of Gaussians Capsule Network for Health Image Classification.

Computational intelligence and neuroscience Sep 30, 2022
Capsule Networks have shown great promise in image recognition due to their ability to recognize the pose, texture, and deformation of objects and object parts. However, the majority of the existing capsule networks are deterministic with limited abi...
Reproducibility of Results Bayes Theorem Neural Networks, Computer Normal Distribution Uncertainty
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Early Prediction of Diabetes Using an Ensemble of Machine Learning Models.

International journal of environmental research and public health Sep 28, 2022
Diabetes is one of the most rapidly spreading diseases in the world, resulting in an array of significant complications, including cardiovascular disease, kidney failure, diabetic retinopathy, and neuropathy, among others, which contribute to an incr...
Bayes Theorem Analysis of Variance Diabetes Mellitus Area Under Curve Machine Learning Humans
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Multinomial Naive Bayesian Classifier Framework for Systematic Analysis of Smart IoT Devices.

Sensors (Basel, Switzerland) Sep 27, 2022
Businesses need to use sentiment analysis, powered by artificial intelligence and machine learning to forecast accurately whether or not consumers are satisfied with their offerings. This paper uses a deep learning model to analyze thousands of revie...
Artificial Intelligence Machine Learning Bayes Theorem Attitude Systems Analysis
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Human reliability analysis in deep excavation projects using a fuzzy Bayesian HEART-5M integrated method: case of a residential tower in north Tehran.

International journal of occupational safety and ergonomics : JOSE Sep 26, 2022
Numerous labourers lose their lives or suffer from injuries and disabilities yearly due to the lack of safety enforcement in construction projects and accidents caused by excavation collapses. The identification and ranking of human errors have alwa...
Humans Reproducibility of Results Iran Probability Fuzzy Logic Bayes Theorem
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Assessing spatial connectivity effects on daily streamflow forecasting using Bayesian-based graph neural network.

The Science of the total environment Sep 23, 2022
Data-driven models have been widely developed and achieved impressive results in streamflow prediction. However, the existing data-driven models mostly focus on the selection of input features and the adjustment of model structure, and less on the im...
Rivers Hydrology Reproducibility of Results Bayes Theorem Neural Networks, Computer Forecasting
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Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data.

Scientific reports Sep 21, 2022
Individual daily travel activities (e.g., work, eating) are identified with various machine learning models (e.g., Bayesian Network, Random Forest) for understanding people's frequent travel purposes. However, labor-intensive engineering work is ofte...
Humans Neural Networks, Computer Machine Learning Algorithms Bayes Theorem Travel
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A Novel Supervised Filter Feature Selection Method Based on Gaussian Probability Density for Fault Diagnosis of Permanent Magnet DC Motors.

Sensors (Basel, Switzerland) Sep 20, 2022
For permanent magnet DC motors (PMDCMs), the amplitude of the current signals gradually decreases after the motor starts. In this work, the time domain features and time-frequency-domain features extracted from several successive segments of current ...
Bayes Theorem Algorithms Normal Distribution Magnets Support Vector Machine
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Implementation of Machine Learning Mechanism for Recognising Prostate Cancer through Photoacoustic Signal.

Contrast media & molecular imaging Sep 20, 2022
Biological tissues may be studied using photoacoustic (PA) spectroscopy, which can yield a wealth of physical and chemical data. However, it is really challenging to directly analyse these tissues because of a lot of data. Data mining techniques can ...
Spectrum Analysis Machine Learning Humans Male Algorithms Bayes Theorem Lipids Prostatic Neoplasms
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TransMorph: Transformer for unsupervised medical image registration.

Medical image analysis Sep 14, 2022
In the last decade, convolutional neural networks (ConvNets) have been a major focus of research in medical image analysis. However, the performances of ConvNets may be limited by a lack of explicit consideration of the long-range spatial relationshi...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer Bayes Theorem Phantoms, Imaging Magnetic Resonance Imaging
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Analysis of Graphic Design Based on AI Interaction Technology.

Journal of environmental and public health Sep 12, 2022
The naive Bayes classification algorithm is used to determine the plane feature vector, and the color image enhancement algorithm based on the visual characteristics is used to improve the local contrast of the plane visual image. In addition, based ...
Image Enhancement Humans Artificial Intelligence Technology Bayes Theorem Color
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