AIMC Topic: Bayes Theorem

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An Intelligent Cost-Efficient System to Prevent the Improper Posture Hazards in Offices Using Machine Learning Algorithms.

Computational intelligence and neuroscience Aug 18, 2022
In this research, an intelligent and cost-efficient system has been proposed to detect the improper sitting posture of a person working at a desk, mostly in offices, using machine learning classification techniques. The current era demands to avoid t...
Cluster Analysis Machine Learning Posture Algorithms Bayes Theorem Humans
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PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data.

Journal of biomedical informatics Aug 17, 2022
Vancomycin is a commonly used antimicrobial in hospitals, and therapeutic drug monitoring (TDM) is required to optimize its efficacy and avoid toxicities. Bayesian models are currently recommended to predict the antibiotic levels. These models, howev...
Vancomycin Bayes Theorem Drug Monitoring Humans Deep Learning Electronic Health Records
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The origin and evolution of open habitats in North America inferred by Bayesian deep learning models.

Nature communications Aug 17, 2022
Some of the most extensive terrestrial biomes today consist of open vegetation, including temperate grasslands and tropical savannas. These biomes originated relatively recently in Earth's history, likely replacing forested habitats in the second hal...
Fossils Phylogeny Deep Learning Bayes Theorem Biological Evolution Ecosystem
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A Bayesian deep learning method for freeway incident detection with uncertainty quantification.

Accident; analysis and prevention Aug 16, 2022
Incident detection is fundamental for freeway management to reduce non-recurrent congestions and secondary incidents. Recently, machine learning technologies have made considerable progress in the incident detection field, but many still face challen...
Humans Uncertainty Neural Networks, Computer Bayes Theorem Deep Learning Accidents, Traffic
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Recycling waste classification using emperor penguin optimizer with deep learning model for bioenergy production.

Chemosphere Aug 14, 2022
The growth and implementation of biofuels and bioenergy conversion technologies play an important part in the production of sustainable and renewable energy resources in the upcoming years. Recycling sources from waste could efficiently ease the risk...
Spheniscidae Bayes Theorem Biofuels Recycling Waste Management Animals Deep Learning
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Machine learning analysis and prediction of N, NO, and O adsorption on activated carbon and carbon molecular sieve.

Environmental science and pollution research international Aug 13, 2022
This research focuses on predicting the adsorbed amount of N, O, and NO on carbon molecular sieve and activated carbon using the artificial neural network (ANN) approach. Experimental isotherm data (data set 1242) on adsorbent type, gas type, tempera...
Neural Networks, Computer Algorithms Charcoal Adsorption Bayes Theorem
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Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction.

Computational intelligence and neuroscience Aug 10, 2022
Corn has great importance in terms of production in the field of agriculture and animal feed. Obtaining pure corn seeds in corn production is quite significant for seed quality. For this reason, the distinction of corn seeds that have numerous variet...
Computers Support Vector Machine Algorithms Bayes Theorem Neural Networks, Computer Zea mays
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A Machine Learning-Based Intrauterine Growth Restriction (IUGR) Prediction Model for Newborns.

Indian journal of pediatrics Aug 9, 2022
Intrauterine growth restriction (IUGR) is a condition in which the fetal weight is below the 10th percentile for its gestational age. Prenatal exposure to metals can cause a decrease in fetal growth during gestation thereby reducing birth weight. The...
Humans Fetal Growth Retardation Infant, Newborn Bayes Theorem Birth Weight Gestational Age Machine Learning Pregnancy Female
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Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization.

IEEE transactions on pattern analysis and machine intelligence Aug 4, 2022
Due to lack of data, overfitting ubiquitously exists in real-world applications of deep neural networks (DNNs). We propose advanced dropout, a model-free methodology, to mitigate overfitting and improve the performance of DNNs. The advanced dropout t...
Algorithms Bayes Theorem Neural Networks, Computer
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Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search.

IEEE transactions on pattern analysis and machine intelligence Aug 4, 2022
Neural Architecture Search (NAS) has emerged as a promising technique for automatic neural network design. However, existing MCTS based NAS approaches often utilize manually designed action space, which is not directly related to the performance metr...
Bayes Theorem Monte Carlo Method Neural Networks, Computer Algorithms
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