AIMC Topic: Bayes Theorem

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A Probabilistic Digital Twin for Leak Localization in Water Distribution Networks Using Generative Deep Learning.

Sensors (Basel, Switzerland) Jul 5, 2023
Localizing leakages in large water distribution systems is an important and ever-present problem. Due to the complexity originating from water pipeline networks, too few sensors, and noisy measurements, this is a highly challenging problem to solve. ...
Water Supply Bayes Theorem Deep Learning Models, Statistical Neural Networks, Computer
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DeeP4med: deep learning for P4 medicine to predict normal and cancer transcriptome in multiple human tissues.

BMC bioinformatics Jul 4, 2023
BACKGROUND: P4 medicine (predict, prevent, personalize, and participate) is a new approach to diagnosing and predicting diseases on a patient-by-patient basis. For the prevention and treatment of diseases, prediction plays a fundamental role. One of ...
Humans Machine Learning Deep Learning Bayes Theorem Transcriptome Neoplasms
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Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation.

Sensors (Basel, Switzerland) Jul 2, 2023
Pose estimation is crucial for automating assembly tasks, yet achieving sufficient accuracy for assembly automation remains challenging and part-specific. This paper presents a novel, streamlined approach to pose estimation that facilitates automatio...
Automation Bayes Theorem Machine Learning
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Predictive Uncertainty Estimation for Camouflaged Object Detection.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 29, 2023
Uncertainty is inherent in machine learning methods, especially those for camouflaged object detection aiming to finely segment the objects concealed in background. The strong enquote center bias of the training dataset leads to models of poor genera...
Uncertainty Machine Learning Bayes Theorem Image Processing, Computer-Assisted
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Development of a model for the prediction of biological age.

Computer methods and programs in biomedicine Jun 24, 2023
BACKGROUND AND OBJECTIVE: Rates of aging vary markedly among individuals, and biological age serves as a more reliable predictor of current health status than does chronological age. As such, the ability to predict biological age can support appropri...
Adolescent Bayes Theorem DNA Methylation Algorithms Humans Aging Machine Learning
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Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records.

Systematic reviews Jun 20, 2023
BACKGROUND: Conducting a systematic review demands a significant amount of effort in screening titles and abstracts. To accelerate this process, various tools that utilize active learning have been proposed. These tools allow the reviewer to interact...
Bayes Theorem Systematic Reviews as Topic Computer Simulation Humans Software Machine Learning
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Prediction of posttraumatic functional recovery in middle-aged and older patients through dynamic ensemble selection modeling.

Frontiers in public health Jun 20, 2023
INTRODUCTION: Age-specific risk factors may delay posttraumatic functional recovery; complex interactions exist between these factors. In this study, we investigated the prediction ability of machine learning models for posttraumatic (6 months) funct...
Bayes Theorem Prognosis Aged Middle Aged Algorithms Machine Learning Risk Factors Humans
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Evaluation of a Medical Interview-Assistance System Using Artificial Intelligence for Resident Physicians Interviewing Simulated Patients: A Crossover, Randomized, Controlled Trial.

International journal of environmental research and public health Jun 19, 2023
Medical interviews are expected to undergo a major transformation through the use of artificial intelligence. However, artificial intelligence-based systems that support medical interviews are not yet widespread in Japan, and their usefulness is uncl...
Bayes Theorem Japan Physicians Artificial Intelligence Humans
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Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes.

Sensors (Basel, Switzerland) Jun 14, 2023
This paper presents a novel, autonomous learning system working in real-time for face recognition. Multiple convolutional neural networks for face recognition tasks are available; however, these networks need training data and a relatively long train...
Bayes Theorem Algorithms Neural Networks, Computer Humans Machine Learning
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Probabilistic real-time natural gas jet fire consequence modeling of offshore platforms by hybrid deep learning approach.

Marine pollution bulletin Jun 7, 2023
Natural gas jet fire induced by igniting blowouts has the potential to cause critical structure damage and great casualties of offshore platforms. Real-time natural gas jet fire plume prediction is essential to support the emergency planning to mitig...
Fires Natural Gas Bayes Theorem Deep Learning
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