AIMC Topic: Algorithms

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A new method of rock type identification based on transformer by utilizing acoustic emission.

PloS one Aug 27, 2024
The characterization and analysis of rock types based on acoustic emission (AE) signals have long been focal points in earth science research. However, traditional analysis methods struggle to handle the influx of big data. While signal processing me...
Models, Theoretical Signal Processing, Computer-Assisted Acoustics Neural Networks, Computer Algorithms
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Development and testing of a deep learning algorithm to detect lung consolidation among children with pneumonia using hand-held ultrasound.

PloS one Aug 27, 2024
BACKGROUND AND OBJECTIVES: Severe pneumonia is the leading cause of death among young children worldwide, disproportionately impacting children who lack access to advanced diagnostic imaging. Here our objectives were to develop and test the accuracy ...
Humans Female Deep Learning Algorithms Male Adolescent Prospective Studies Child Point-of-Care Systems Infant Child, Preschool Ultrasonography Lung Pneumonia
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Automated brain tumor diagnostics: Empowering neuro-oncology with deep learning-based MRI image analysis.

PloS one Aug 27, 2024
Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat to human health. Early detection is crucial for successful treatment and improved patient outcomes. Magnetic Resonance Imaging (MRI) is the primary di...
Image Processing, Computer-Assisted Humans Brain Neoplasms Magnetic Resonance Imaging Neural Networks, Computer Deep Learning Algorithms
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US-based Radiomics Analysis of Different Machine Learning Models for Differentiating Benign and Malignant BI-RADS 4A Breast Lesions.

Academic radiology Aug 26, 2024
RATIONALE AND OBJECTIVES: To investigate and authenticate the effectiveness of various radiomics models in distinguishing between benign and malignant BI-RADS 4A lesions.
Radiomics Middle Aged Diagnosis, Differential Adult Sensitivity and Specificity Breast Neoplasms Ultrasonography, Mammary Image Interpretation, Computer-Assisted Humans Machine Learning Algorithms Female Aged
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Asynchronous iterative Q-learning based tracking control for nonlinear discrete-time multi-agent systems.

Neural networks : the official journal of the International Neural Network Society Aug 26, 2024
This paper addresses the tracking control problem of nonlinear discrete-time multi-agent systems (MASs). First, a local neighborhood error system (LNES) is constructed. Then, a novel tracking algorithm based on asynchronous iterative Q-learning (AIQL...
Neural Networks, Computer Machine Learning Algorithms Computer Simulation Nonlinear Dynamics Humans
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Clinical Applications of Artificial Intelligence in Occupational Health: A Systematic Literature Review.

Journal of occupational and environmental medicine Aug 26, 2024
OBJECTIVES: The aims of the study are to identify and to critically analyze studies using artificial intelligence (AI) in occupational health.
Neural Networks, Computer Artificial Intelligence Algorithms Humans Return to Work Risk Assessment Occupational Health
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Comparative analysis of traditional machine learning and automated machine learning: advancing inverted papilloma versus associated squamous cell carcinoma diagnosis.

International forum of allergy & rhinology Aug 26, 2024
Inverted papilloma conversion to squamous cell carcinoma is not always easy to predict. AutoML requires much less technical knowledge and skill to use than traditional ML. AutoML surpassed the traditional ML algorithm in differentiating IP from IP-SC...
Humans Machine Learning Male Diagnosis, Differential Algorithms Papilloma, Inverted Female Carcinoma, Squamous Cell
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Machine learning revealing overlooked conjunction of working volume and mixing intensity in anammox optimization.

Water research Aug 26, 2024
Extensive studies on improving anammox performance have taken place for decades with particular focuses on its operational and environmental factors, but such parameter-based optimization is difficult, because of the sheer number of possible combinat...
Anaerobic Ammonia Oxidation Bayes Theorem Datasets as Topic Hydrodynamics Machine Learning Algorithms
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A machine learning approach for age prediction based on trigeminal landmarks.

Journal of forensic and legal medicine Aug 26, 2024
OBJECTIVE: The aim of this study was to estimate the chronological age (CA) of a growing individual using a new machine learning approach on Cone Beam Computed Tomography (CBCT).
Humans Child Young Adult Cone-Beam Computed Tomography Male Machine Learning Principal Component Analysis Decision Trees Adolescent Algorithms Anatomic Landmarks Female Age Determination by Skeleton
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Non-coplanar CBCT image reconstruction using a generative adversarial network for non-coplanar radiotherapy.

Journal of applied clinical medical physics Aug 26, 2024
PURPOSE: To develop a non-coplanar cone-beam computed tomography (CBCT) image reconstruction method using projections within a limited angle range for non-coplanar radiotherapy.
Radiotherapy, Image-Guided Radiotherapy Dosage Radiotherapy, Intensity-Modulated Algorithms Phantoms, Imaging Brain Neoplasms Cone-Beam Computed Tomography Image Processing, Computer-Assisted Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Neural Networks, Computer
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