AIMC Topic: Bayes Theorem

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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, ...
Facial Expression Emotions Robotics Bayes Theorem Male Child Artificial Intelligence Machine Learning Female Humans
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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...
Electroencephalography Deep Learning Humans Signal Processing, Computer-Assisted Fuzzy Logic Algorithms Brain-Computer Interfaces Bayes Theorem
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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...
Humans Neural Networks, Computer Brain Neoplasms Deep Learning Magnetic Resonance Imaging Bayes Theorem 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...
Pulmonary Veins Catheter Ablation Recurrence Risk Factors Aged Humans Male Artificial Intelligence Middle Aged Female Bayes Theorem Atrial Fibrillation
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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...
Humans Signal Processing, Computer-Assisted Neural Networks, Computer Supervised Machine Learning Respiratory Sounds Algorithms Bayes Theorem
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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...
Aged Male Middle Aged Machine Learning Female Arthroplasty, Replacement, Knee Osteoarthritis, Knee Quality of Life Treatment Outcome Bayes Theorem Humans
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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.
Male Universities Humans Fuzzy Logic Bayes Theorem Female Neural Networks, Computer Faculty Adult Research
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Bayesian Optimization-Enhanced Reinforcement learning for Self-adaptive and multi-objective control of wastewater treatment.

Bioresource technology Feb 9, 2025
Controllers of wastewater treatment plants (WWTPs) often struggle to maintain optimal performance due to dynamic influent characteristics and the need to balance multiple operational objectives. In this study, Reinforcement Learning (RL) algorithms a...
Algorithms Water Purification Waste Disposal, Fluid Bayes Theorem Sewage Machine Learning Wastewater
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A numerical treatment through Bayesian regularization neural network for the chickenpox disease model.

Computers in biology and medicine Feb 8, 2025
OBJECTIVES: The current research investigations designates the numerical solutions of the chickenpox disease model by applying a proficient optimization framework based on the artificial neural network. The mathematical form of the chickenpox disease...
Humans Bayes Theorem Models, Biological Chickenpox Neural Networks, Computer Animals
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A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification.

Scientific reports Feb 7, 2025
Accurately and early diagnosis of melanoma is one of the challenging tasks due to its unique characteristics and different shapes of skin lesions. So, in order to solve this issue, the current study examines various deep learning-based approaches and...
Humans Bayes Theorem Algorithms Image Interpretation, Computer-Assisted Neural Networks, Computer Dermoscopy Melanoma Machine Learning Deep Learning Skin Neoplasms Image Processing, Computer-Assisted
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