AIMC Topic: Bayes Theorem

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Machine Learning-Based Ensemble Classifiers for Anomaly Handling in Smart Home Energy Consumption Data.

Sensors (Basel, Switzerland) Nov 30, 2022
Addressing data anomalies (e.g., garbage data, outliers, redundant data, and missing data) plays a vital role in performing accurate analytics (billing, forecasting, load profiling, etc.) on smart homes' energy consumption data. From the literature, ...
Bayes Theorem Neural Networks, Computer Support Vector Machine Machine Learning Cluster Analysis
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Fault Early Warning Model for High-Speed Railway Train Based on Feature Contribution and Causal Inference.

Sensors (Basel, Switzerland) Nov 25, 2022
The demands for model accuracy and computing efficiency in fault warning scenarios are increasing as high-speed railway train technology continues to advance. The black box model is difficult to interpret, making it impossible for this technology to ...
Records Bayes Theorem Industry Machine Learning Equipment Failure
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Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis.

Journal of neurointerventional surgery Nov 23, 2022
BACKGROUND: This study aimed to investigate the application of deep learning (DL) models for the detection of subdural hematoma (SDH).
Sensitivity and Specificity Humans Hematoma, Subdural Bias Bayes Theorem Deep Learning
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Artificial intelligence based prediction models for individuals at risk of multiple diabetic complications: A systematic review of the literature.

Journal of nursing management Nov 23, 2022
AIM: The aim of this review is to examine the effectiveness of artificial intelligence in predicting multimorbid diabetes-related complications.
Humans Artificial Intelligence Diabetes Mellitus Bayes Theorem Quality of Life
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Posterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography.

Medical physics Nov 18, 2022
BACKGROUND: In medical imaging, images are usually treated as deterministic, while their uncertainties are largely underexplored.
Computer Simulation Deep Learning Neural Networks, Computer Positron-Emission Tomography Bayes Theorem
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Sparse Bayesian Learning Based on Collaborative Neurodynamic Optimization.

IEEE transactions on cybernetics Nov 18, 2022
Regression in a sparse Bayesian learning (SBL) framework is usually formulated as a global optimization problem with a nonconvex objective function and solved in a majorization-minimization framework where the solution quality and consistency depend ...
Neural Networks, Computer Learning Bayes Theorem Computer Simulation Algorithms
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Uncertainty-aware self-supervised neural network for livermapping with relaxation constraint.

Physics in medicine and biology Nov 18, 2022
.T1ρmapping is a promising quantitative MRI technique for the non-invasive assessment of tissue properties. Learning-based approaches can mapT1ρfrom a reduced number ofT1ρweighted images but requires significant amounts of high-quality training data....
Uncertainty Bayes Theorem Humans Magnetic Resonance Imaging Neural Networks, Computer
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Artificial neural networks in contemporary toxicology research.

Chemico-biological interactions Nov 17, 2022
Artificial neural networks (ANNs) have a huge potential in toxicology research. They may be used to predict toxicity of various chemical compounds or classify the compounds based on their toxic effects. Today, numerous ANN models have been developed,...
Neural Networks, Computer Artificial Intelligence Bayes Theorem
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Tracking financing for global common goods for health: A machine learning approach using natural language processing techniques.

Frontiers in public health Nov 17, 2022
OBJECTIVE: Tracking global health funding is a crucial but time consuming and labor-intensive process. This study aimed to develop a framework to automate the tracking of global health spending using natural language processing (NLP) and machine lear...
Social Justice Machine Learning Humans Global Health Bayes Theorem Natural Language Processing
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A hybrid Bayesian BWM and Pythagorean fuzzy WASPAS-based decision-making framework for parcel locker location selection problem.

Environmental science and pollution research international Nov 14, 2022
One of the main causes of the significant commercial vehicle traffic in the city region is last-mile deliveries. Parcel lockers, which are one of the easiest and most environmentally friendly solutions for last-mile delivery, are one of the most stud...
Decision Making Turkey Bayes Theorem Cities Fuzzy Logic Humans
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