AIMC Topic: Bayes Theorem

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Identifying plastic materials in post-consumer food containers and packaging waste using terahertz spectroscopy and machine learning.

Waste management (New York, N.Y.) Feb 18, 2025
Accurate identification of plastic materials from post-consumer food container and packaging waste is crucial for enhancing the purity and added value of recycled materials, thereby promoting recycling and addressing the issue of plastic pollution. H...
Terahertz Spectroscopy Machine Learning Food Packaging Bayes Theorem Plastics Recycling Polyethylene Terephthalates
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Development and validation of interpretable machine learning models for triage patients admitted to the intensive care unit.

PloS one Feb 18, 2025
OBJECTIVES: Developing and validating interpretable machine learning (ML) models for predicting whether triaged patients need to be admitted to the intensive care unit (ICU).
Male Middle Aged ROC Curve Female Aged Adult Patient Admission Humans Triage Machine Learning Area Under Curve Algorithms Bayes Theorem Intensive Care Units
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Development and clinical evaluation of an AI-assisted respiratory state classification system for chest X-rays: A BMI-Specific approach.

Computers in biology and medicine Feb 16, 2025
PURPOSE: In this study, we aimed to develop and clinically evaluate an artificial intelligence (AI)-assisted support system for determining inhalation and exhalation states on chest X-ray images, focusing on the specific challenge of respiratory stat...
Male Middle Aged Body Mass Index Obesity Bayes Theorem Radiography, Thoracic Female Aged Adult Humans Artificial Intelligence
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Advancing Emotionally Aware Child-Robot Interaction with Biophysical Data and Insight-Driven Affective Computing.

Sensors (Basel, Switzerland) Feb 14, 2025
This paper investigates the integration of affective computing techniques using biophysical data to advance emotionally aware machines and enhance child-robot interaction (CRI). By leveraging interdisciplinary insights from neuroscience, psychology, ...
Humans Artificial Intelligence Machine Learning Female Robotics Male Bayes Theorem Child Facial Expression Emotions
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A combination of deep learning models and type-2 fuzzy for EEG motor imagery classification through spatiotemporal-frequency features.

Journal of medical engineering & technology Feb 14, 2025
Developing a robust and effective technique is crucial for interpreting a user's brainwave signals accurately in the realm of biomedical signal processing. The variability and uncertainty present in EEG patterns over time, compounded by noise, pose n...
Signal Processing, Computer-Assisted Fuzzy Logic Brain-Computer Interfaces Bayes Theorem Humans Electroencephalography Algorithms Deep Learning
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Cross prior Bayesian attention with correlated inception and residual learning for brain tumor classification using MR images (CB-CIRL Net).

Journal of neuroscience methods Feb 11, 2025
BACKGROUND: Brain tumor classification from magnetic resonance (MR) images is crucial for early diagnosis and effective treatment planning. However, the homogeneity of tumors across different categories poses a challenge. Although, attention-based co...
Deep Learning Magnetic Resonance Imaging Bayes Theorem Humans Neural Networks, Computer Brain Neoplasms Image Interpretation, Computer-Assisted
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Predicting Atrial Fibrillation Relapse Using Bayesian Networks: Explainable AI Approach.

JMIR cardio Feb 11, 2025
BACKGROUND: Atrial fibrillation (AF) is a prevalent arrhythmia associated with significant morbidity and mortality. Despite advancements in ablation techniques, predicting recurrence of AF remains a challenge, necessitating reliable models to identif...
Female Risk Factors Aged Humans Artificial Intelligence Pulmonary Veins Atrial Fibrillation Catheter Ablation Recurrence Male Middle Aged Bayes Theorem
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Supervised Contrastive Learning Framework and Hardware Implementation of Learned ResNet for Real-Time Respiratory Sound Classification.

IEEE transactions on biomedical circuits and systems Feb 11, 2025
This paper presents a supervised contrastive learning (SCL) framework for respiratory sound classification and the hardware implementation of learned ResNet on field programmable gate array (FPGA) for real-time monitoring. At the algorithmic level, m...
Bayes Theorem Humans Signal Processing, Computer-Assisted Supervised Machine Learning Neural Networks, Computer Respiratory Sounds Algorithms
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Biopsychosocial based machine learning models predict patient improvement after total knee arthroplasty.

Scientific reports Feb 10, 2025
Total knee arthroplasty (TKA) is an effective treatment for end stage osteoarthritis. However, biopsychosocial features are not routinely considered in TKA clinical decision-making, despite increasing evidence to support their role in patient recover...
Bayes Theorem Arthroplasty, Replacement, Knee Osteoarthritis, Knee Middle Aged Quality of Life Treatment Outcome Female Humans Aged Machine Learning Male
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Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network.

PloS one Feb 10, 2025
INTRODUCTION: This study aims to enhance educational quality and academic standards by proposing a model based on critical research ability indicators to objectively evaluate the sustainable scientific research capabilities of university teachers.
Bayes Theorem Faculty Male Universities Fuzzy Logic Humans Research Neural Networks, Computer Female Adult
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