AIMC Topic: Bayes Theorem

Clear Filters Showing 721 to 730 of 1826 articles

Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.

BMC geriatrics May 24, 2022
BACKGROUND: Fragility hip fracture increases morbidity and mortality in older adult patients, especially within the first year. Identification of patients at high risk of death facilitates modification of associated perioperative factors that can red...
Hip Fractures Bayes Theorem Aged Thailand Retrospective Studies Machine Learning Humans
View on PubMed DOI

Bayesian optimization and deep learning for steering wheel angle prediction.

Scientific reports May 24, 2022
Automated driving systems (ADS) have undergone a significant improvement in the last years. ADS and more precisely self-driving cars technologies will change the way we perceive and know the world of transportation systems in terms of user experience...
Automobile Driving Bayes Theorem Deep Learning Neural Networks, Computer
View on PubMed DOI

Proactive approach for preamble detection in 5G-NR PRACH using supervised machine learning and ensemble model.

Scientific reports May 19, 2022
The physical random access channel (PRACH) is used in the uplink of cellular systems for initial access requests from the users. It is very hard to achieve low latency by implementing conventional methods in 5G. The performance of the system degrades...
Machine Learning Cluster Analysis Bayes Theorem Support Vector Machine Algorithms Supervised Machine Learning
View on PubMed DOI

Estimating muscle activation from EMG using deep learning-based dynamical systems models.

Journal of neural engineering May 19, 2022
. To study the neural control of movement, it is often necessary to estimate how muscles are activated across a variety of behavioral conditions. One approach is to try extracting the underlying neural command signal to muscles by applying latent var...
Locomotion Muscle, Skeletal Rats Electromyography Bayes Theorem Animals Deep Learning
View on PubMed DOI

Novel Multitask Conditional Neural-Network Surrogate Models for Expensive Optimization.

IEEE transactions on cybernetics May 19, 2022
Multiple-related tasks can be learned simultaneously by sharing information among tasks to avoid tabula rasa learning and to improve performance in the no transfer case (i.e., when each task learns in isolation). This study investigates multitask lea...
Neural Networks, Computer Algorithms Bayes Theorem Learning
View on PubMed DOI

An Efficient Image Categorization Method With Insufficient Training Samples.

IEEE transactions on cybernetics May 19, 2022
Image classification is an important part of pattern recognition. With the development of convolutional neural networks (CNNs), many CNN methods are proposed, which have a large number of samples for training, which can have high performance. However...
Neural Networks, Computer Bayes Theorem
View on PubMed DOI

PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images.

Contrast media & molecular imaging May 18, 2022
OBJECTIVES: Fetal sex determination with ultrasound (US) examination is indicated in pregnancies at risk of X-linked genetic disorders or ambiguous genitalia. However, misdiagnoses often arise due to operator inexperience and technical difficulties w...
Bayes Theorem Male Support Vector Machine Ultrasonography Pregnancy Female Humans
View on PubMed DOI

An Intelligent Recommendation Method for Tourist Attractions Based on Deep Learning.

Computational intelligence and neuroscience May 18, 2022
Tourists are the people who can be seen all over the world. Therefore, this has increased the demand for product supply in tourist locations. Technological development would be the only solution to solve those issues related to the demand and supply ...
Cell Phone Humans Algorithms Bayes Theorem Travel Deep Learning Male
View on PubMed DOI

Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning.

Sensors (Basel, Switzerland) May 17, 2022
With smart electronic devices delving deeper into our everyday lives, predictive maintenance solutions are gaining more traction in the electronic manufacturing industry. It is imperative for the manufacturers to identify potential failures and predi...
Neural Networks, Computer Electric Power Supplies Ions Lithium Bayes Theorem Algorithms
View on PubMed DOI

Leakage Prediction in Machine Learning Models When Using Data from Sports Wearable Sensors.

Computational intelligence and neuroscience May 17, 2022
One of the major problems in machine learning is data leakage, which can be directly related to adversarial type attacks, raising serious concerns about the validity and reliability of artificial intelligence. Data leakage occurs when the independent...
Wearable Electronic Devices Reproducibility of Results Bayes Theorem Artificial Intelligence Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals