AIMC Topic: Probability

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Using deep learning to predict the outcome of live birth from more than 10,000 embryo data.

BMC pregnancy and childbirth Jan 16, 2022
BACKGROUND: Recently, the combination of deep learning and time-lapse imaging provides an objective, standard and scientific solution for embryo selection. However, the reported studies were based on blastocyst formation or clinical pregnancy as the ...
Live Birth Time-Lapse Imaging Single Embryo Transfer Datasets as Topic Endpoint Determination ROC Curve Predictive Value of Tests Microscopy Probability Area Under Curve Humans Reproducibility of Results Deep Learning
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Effective TCP Flow Management Based on Hierarchical Feedback Learning in Complex Data Center Network.

Sensors (Basel, Switzerland) Jan 13, 2022
Many studies focusing on improving Transmission Control Protocol (TCP) flow control realize a more effective use of bandwidth in data center networks. They are excellent ways to more effectively use the bandwidth between clients and back-end servers....
Humans Algorithms Feedback Deep Learning Probability
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Dissipativity-Based Disturbance Attenuation Control for T-S Fuzzy Markov Jumping Systems With Nonlinear Multisource Uncertainties and Partly Unknown Transition Probabilities.

IEEE transactions on cybernetics Jan 11, 2022
This article is concerned with the dissipativity-based disturbance attenuation control for a class of Takagi-Sugeno (T-S) fuzzy Markov jump systems (FMJSs) suffering from nonlinear multisource disturbances. The considered system possesses nonlinear a...
Fuzzy Logic Algorithms Probability Nonlinear Dynamics Computer Simulation
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Overtaking risk modeling in two-lane two-way highway with heterogeneous traffic environment of a low-income country using naturalistic driving dataset.

Journal of safety research Dec 29, 2021
INTRODUCTION: Driver behavior related to overtaking maneuvers, which are considered a major safety risk determinant on two-lane two-way highway in low- and middle-income countries (LMIC), are an important subject of further analysis. This study evalu...
Probability Decision Making Accidents, Traffic Automobile Driving Humans Logistic Models
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Human Factor Risk Modeling for Shipyard Operation by Mapping Fuzzy Fault Tree into Bayesian Network.

International journal of environmental research and public health Dec 28, 2021
The operational activities conducted in a shipyard are exposed to high risk associated with human factors. To investigate human factors involved in shipyard operational accidents, a double-nested model was proposed in the present study. The modified ...
Accidents Probability Fuzzy Logic Factor Analysis, Statistical Bayes Theorem Humans
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Of research and robots: making sense of chance findings.

BMJ (Clinical research ed.) Dec 16, 2021
Robotics Probability Humans
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DeepCME: A deep learning framework for computing solution statistics of the chemical master equation.

PLoS computational biology Dec 8, 2021
Stochastic models of biomolecular reaction networks are commonly employed in systems and synthetic biology to study the effects of stochastic fluctuations emanating from reactions involving species with low copy-numbers. For such models, the Kolmogor...
Computational Biology Models, Chemical Probability Computer Simulation Deep Learning Statistics as Topic Stochastic Processes
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Determination of probability of causative pathogen in infectious keratitis using deep learning algorithm of slit-lamp images.

Scientific reports Nov 22, 2021
Corneal opacities are important causes of blindness, and their major etiology is infectious keratitis. Slit-lamp examinations are commonly used to determine the causative pathogen; however, their diagnostic accuracy is low even for experienced ophtha...
Keratitis Humans Slit Lamp Diagnostic Techniques, Ophthalmological Female Middle Aged Aged Reproducibility of Results Corneal Opacity Algorithms Deep Learning Ophthalmology Male Slit Lamp Microscopy Probability
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Improving random forest predictions in small datasets from two-phase sampling designs.

BMC medical informatics and decision making Nov 22, 2021
BACKGROUND: While random forests are one of the most successful machine learning methods, it is necessary to optimize their performance for use with datasets resulting from a two-phase sampling design with a small number of cases-a common situation i...
Machine Learning Probability Vaccine Efficacy Humans
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Deep learning-based histopathological segmentation for whole slide images of colorectal cancer in a compressed domain.

Scientific reports Nov 18, 2021
Automatic pattern recognition using deep learning techniques has become increasingly important. Unfortunately, due to limited system memory, general preprocessing methods for high-resolution images in the spatial domain can lose important data inform...
Humans Neural Networks, Computer Software Algorithms Computer Graphics Machine Learning Image Processing, Computer-Assisted Predictive Value of Tests Probability Wavelet Analysis Colorectal Neoplasms Principal Component Analysis Computers Deep Learning Reproducibility of Results User-Computer Interface
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