AIMC Topic: Bayes Theorem

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Optimization of operational parameters using RSM, ANN, and SVM in membrane integrated with rotating biological contactor.

Chemosphere Dec 4, 2023
Membrane fouling is a critical bottleneck to the widespread adoption of membrane separation processes. It diminishes the membrane permeability and results in high operational energy costs. The current study presents optimizing the operating parameter...
Sewage Neural Networks, Computer Support Vector Machine Bayes Theorem Bioreactors
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Learning massive interpretable gene regulatory networks of the human brain by merging Bayesian networks.

PLoS computational biology Dec 1, 2023
We present the Fast Greedy Equivalence Search (FGES)-Merge, a new method for learning the structure of gene regulatory networks via merging locally learned Bayesian networks, based on the fast greedy equivalent search algorithm. The method is competi...
Artificial Intelligence Algorithms Humans Computational Biology Bayes Theorem Brain Gene Regulatory Networks
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Detection of paralytic shellfish toxins by near-infrared spectroscopy based on a near-Bayesian SVM classifier with unequal misclassification costs.

Journal of the science of food and agriculture Nov 30, 2023
BACKGROUND: Paralytic shellfish poisoning caused by human consumption of shellfish fed on toxic algae is a public health hazard. It is essential to implement shellfish monitoring programs to minimize the possibility of shellfish contaminated by paral...
Bivalvia Shellfish Support Vector Machine Bayes Theorem Spectroscopy, Near-Infrared Humans Animals
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Glove-Based Hand Gesture Recognition for Diver Communication.

IEEE transactions on neural networks and learning systems Nov 30, 2023
We have developed a smart dive glove that recognizes 13 static hand gestures used in diving communication. The smart glove employs five dielectric elastomer sensors to capture finger motion and implements a machine learning classifier in the onboard ...
Humans Neural Networks, Computer Support Vector Machine Bayes Theorem Algorithms Gestures
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Detecting and Tracking of Multiple Mice Using Part Proposal Networks.

IEEE transactions on neural networks and learning systems Nov 30, 2023
The study of mouse social behaviors has been increasingly undertaken in neuroscience research. However, automated quantification of mouse behaviors from the videos of interacting mice is still a challenging problem, where object tracking plays a key ...
Bayes Theorem Movement Neural Networks, Computer Algorithms
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Construct validation of machine learning for accurately predicting the risk of postoperative surgical site infection following spine surgery.

The Journal of hospital infection Nov 27, 2023
BACKGROUND: This study aimed to evaluate the risk factors for machine learning (ML) algorithms in predicting postoperative surgical site infection (SSI) following spine surgery.
Prospective Studies Retrospective Studies Machine Learning Humans Surgical Wound Infection Risk Factors Algorithms Bayes Theorem
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Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond.

Neural networks : the official journal of the International Neural Network Society Nov 25, 2023
Recent years have witnessed increasing interest in adversarial attacks on images, while adversarial video attacks have seldom been explored. In this paper, we propose a sparse adversarial attack strategy on videos (DeepSAVA). Our model aims to add a ...
Time Factors Neural Networks, Computer Humans Recognition, Psychology Bayes Theorem Algorithms
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Large-scale spatiotemporal deep learning predicting urban residential indoor PM concentration.

Environment international Nov 22, 2023
Indoor PM pollution is one of the leading causes of death and disease worldwide. As monitoring indoor PM concentrations on a large scale is challenging, it is urgent to assess population-level exposure and related health risks to develop an easy-to-u...
Deep Learning Air Pollutants Air Pollution Particulate Matter Bayes Theorem Environmental Monitoring Air Pollution, Indoor
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Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction.

IEEE transactions on bio-medical engineering Nov 21, 2023
An Individual Survival Distribution (ISD) models a patient's personalized survival probability at all future time points. Previously, ISD models have been shown to produce accurate and personalized survival estimates (for example, time to relapse or ...
Bayes Theorem Uncertainty Humans Neural Networks, Computer
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ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images.

Ultrasonic imaging Nov 20, 2023
Efficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) design. It has been successfully used in various applications including ultrasound image classificatio...
Humans Ultrasonography, Mammary Breast Neural Networks, Computer Female Ultrasonography Bayes Theorem
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