AIMC Topic: Bayes Theorem

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Feasibility of a Neural Network-Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation.

Sensors (Basel, Switzerland) Oct 27, 2021
With the automotive industry moving towards automated driving, sensing is increasingly important in enabling technology. The virtual sensors allow data fusion from various vehicle sensors and provide a prediction for measurement that is hard or too e...
Feasibility Studies Neural Networks, Computer Automobile Driving Bayes Theorem
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Diagnostic value of a vision-based intelligent gait analyzer in screening for gait abnormalities.

Gait & posture Oct 26, 2021
BACKGROUND: Early detection of gait abnormalities is critical for preventing severe injuries in future falls. The timed up and go (TUG) test is a commonly used clinical gait screening test; however, the interpretation of its results is limited to the...
Gait Movement Disorders Artificial Intelligence Retrospective Studies China Bayes Theorem Humans
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Generative Deep Learning for Targeted Compound Design.

Journal of chemical information and modeling Oct 26, 2021
In the past few years, molecular design has increasingly been using generative models from the emergent field of Deep Learning, proposing novel compounds that are likely to possess desired properties or activities. molecular design finds applicatio...
Neural Networks, Computer Drug Design Bayes Theorem Drug Discovery Deep Learning
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Machine Learning Assisted Approach for Finding Novel High Activity Agonists of Human Ectopic Olfactory Receptors.

International journal of molecular sciences Oct 26, 2021
Olfactory receptors (ORs) constitute the largest superfamily of G protein-coupled receptors (GPCRs). ORs are involved in sensing odorants as well as in other ectopic roles in non-nasal tissues. Matching of an enormous number of the olfactory stimulat...
Receptors, Odorant Ligands HEK293 Cells Humans In Vitro Techniques Machine Learning Drug Design User-Computer Interface Bayes Theorem Female Support Vector Machine Drug Discovery Male Drug Evaluation, Preclinical Molecular Docking Simulation
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Variable selection with missing data in both covariates and outcomes: Imputation and machine learning.

Statistical methods in medical research Oct 25, 2021
Variable selection in the presence of both missing covariates and outcomes is an important statistical research topic. Parametric regression are susceptible to misspecification, and as a result are sub-optimal for variable selection. Flexible machine...
Humans Bayes Theorem Machine Learning Female Risk Factors
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Deep Convolutional Neural Network Optimization for Defect Detection in Fabric Inspection.

Sensors (Basel, Switzerland) Oct 25, 2021
This research is aimed to detect defects on the surface of the fabric and deep learning model optimization. Since defect detection cannot effectively solve the fabric with complex background by image processing, this research uses deep learning to id...
Neural Networks, Computer Algorithms Neurons Image Processing, Computer-Assisted Bayes Theorem
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Improve hot region prediction by analyzing different machine learning algorithms.

BMC bioinformatics Oct 25, 2021
BACKGROUND: In the process of designing drugs and proteins, it is crucial to recognize hot regions in protein-protein interactions. Each hot region of protein-protein interaction is composed of at least three hot spots, which play an important role i...
Machine Learning Algorithms Proteins Bayes Theorem Support Vector Machine Cluster Analysis
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OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany.

PLoS computational biology Oct 25, 2021
Mathematical models in epidemiology are an indispensable tool to determine the dynamics and important characteristics of infectious diseases. Apart from their scientific merit, these models are often used to inform political decisions and interventio...
Neural Networks, Computer Models, Biological Pandemics Germany Humans Uncertainty COVID-19 Bayes Theorem
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A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT.

Sensors (Basel, Switzerland) Oct 22, 2021
A large number of smart devices in Internet of Things (IoT) environments communicate via different messaging protocols. Message Queuing Telemetry Transport (MQTT) is a widely used publish-subscribe-based protocol for the communication of sensor or ev...
Telemetry Bayes Theorem Internet of Things Neural Networks, Computer Humans Deep Learning
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Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk.

Frontiers in public health Oct 22, 2021
Cardiovascular disease (CVD) is considered to be one of the most epidemic diseases in the world today. Predicting CVDs, such as cardiac arrest, is a difficult task in the area of healthcare. The healthcare industry has a vast collection of datasets f...
Bayes Theorem Machine Learning Humans Heart Arrest Support Vector Machine Neural Networks, Computer
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