AIMC Topic: Bayes Theorem

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Federated learning meets Bayesian neural network: Robust and uncertainty-aware distributed variational inference.

Neural networks : the official journal of the International Neural Network Society Jan 13, 2025
Federated Learning (FL) is a popular framework for data privacy protection in distributed machine learning. However, current FL faces some several problems and challenges, including the limited amount of client data and data heterogeneity. These lead...
Uncertainty Federated Learning Algorithms Bayes Theorem Neural Networks, Computer Humans Machine Learning
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Application of functional near-infrared spectroscopy and machine learning to predict treatment response after six months in major depressive disorder.

Translational psychiatry Jan 11, 2025
Depression treatment responses vary widely among individuals. Identifying objective biomarkers with predictive accuracy for therapeutic outcomes can enhance treatment efficiency and avoid ineffective therapies. This study investigates whether functio...
Bayes Theorem Hemoglobins Dorsolateral Prefrontal Cortex Antidepressive Agents Functional Neuroimaging Humans Depressive Disorder, Major Treatment Outcome Adult Spectroscopy, Near-Infrared Machine Learning Male Longitudinal Studies Female Middle Aged
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Elephant Sound Classification Using Deep Learning Optimization.

Sensors (Basel, Switzerland) Jan 9, 2025
Elephant sound identification is crucial in wildlife conservation and ecological research. The identification of elephant vocalizations provides insights into the behavior, social dynamics, and emotional expressions, leading to elephant conservation....
Vocalization, Animal Animals Bayes Theorem Sound Deep Learning Elephants Sound Spectrography
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Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.

PloS one Jan 9, 2025
Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on various ma...
Humans Bayes Theorem Stroke Voting ROC Curve Machine Learning Support Vector Machine Decision Trees Algorithms
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Enhancing meteorological data reliability: An explainable deep learning method for anomaly detection.

Journal of environmental management Jan 8, 2025
Accurate meteorological observation data is of great importance to human production activities. Meteorological observation systems have been advancing toward automation, intelligence, and informatization. Yet, instrumental malfunctions and unstable s...
Algorithms Deep Learning Bayes Theorem Humans Meteorological Concepts
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Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches.

Scientific reports Jan 8, 2025
Deep learning-based medical image analysis has shown strong potential in disease categorization, segmentation, detection, and even prediction. However, in high-stakes and complex domains like healthcare, the opaque nature of these models makes it cha...
Image Processing, Computer-Assisted Bayes Theorem Uncertainty Neural Networks, Computer Deep Learning Humans Diabetic Retinopathy
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SRADHO: statistical reduction approach with deep hyper optimization for disease classification using artificial intelligence.

Scientific reports Jan 7, 2025
Artificial Intelligence techniques are being used to analyse vast amounts of medical data and assist in the accurate and early diagnosis of diseases. The common brain related diseases are faced by most of the people which affects the structure and fu...
Bayes Theorem Humans Neural Networks, Computer Algorithms Deep Learning Artificial Intelligence
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Intelligence analysis of drug nanoparticles delivery efficiency to cancer tumor sites using machine learning models.

Scientific reports Jan 6, 2025
This study focuses on the use of machine learning (ML) models to predict the biodistribution of nanoparticles in various organs, using a dataset derived from research on nanoparticle behavior for cancer treatment. The dataset includes both categorica...
Machine Learning Algorithms Drug Delivery Systems Humans Bayes Theorem Neoplasms Tissue Distribution Nanoparticles Nanoparticle Drug Delivery System
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A novel RFE-GRU model for diabetes classification using PIMA Indian dataset.

Scientific reports Jan 6, 2025
Diabetes is a long-term condition characterized by elevated blood sugar levels. It can lead to a variety of complex disorders such as stroke, renal failure, and heart attack. Diabetes requires the most machine learning help to diagnose diabetes illne...
Humans Pima People Machine Learning Databases, Factual Diabetes Mellitus Logistic Models Algorithms Bayes Theorem
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Spatiotemporal multi-feature fusion vehicle trajectory anomaly detection for intelligent transportation: An improved method combining autoencoders and dynamic Bayesian networks.

Accident; analysis and prevention Jan 3, 2025
With the continuous development of intelligent transportation systems, traffic safety has become a major societal concern, and vehicle trajectory anomaly detection technology has emerged as a crucial method to ensure safety. However, current technolo...
China Time Factors Accidents, Traffic Autoencoder Autonomous Vehicles Models, Statistical Bayes Theorem
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