AIMC Topic: Algorithms

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Explainable machine learning-driven predictive performance and process parameter optimization for caproic acid production.

Bioresource technology Aug 19, 2024
In this study, four machine learning (ML) prediction models were developed to predict and optimize the production performance of caproic acid based on substrates, products, and process parameters. The XGBoost outperformed others, with a high R of 0.9...
Lactic Acid Caproates Bioreactors Glucose Fermentation Machine Learning Algorithms Butyric Acid
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Predicting the risk category of thymoma with machine learning-based computed tomography radiomics signatures and their between-imaging phase differences.

Scientific reports Aug 19, 2024
The aim of this study was to develop a medical imaging and comprehensive stacked learning-based method for predicting high- and low-risk thymoma. A total of 126 patients with thymomas and 5 patients with thymic carcinoma treated at our institution, i...
Humans Machine Learning Algorithms Retrospective Studies Middle Aged Adult Tomography, X-Ray Computed Thymoma Risk Assessment Radiomics Thymus Neoplasms Female Nomograms Male Aged
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An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping.

Biomedical physics & engineering express Aug 19, 2024
Dynamic 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (dFDG-PET) for human brain imaging has considerable clinical potential, yet its utilization remains limited. A key challenge in the quantitative analysis of dFDG-PET is characteriz...
Brain Female Male Radiopharmaceuticals Positron-Emission Tomography Fluorodeoxyglucose F18 Humans Deep Learning Neural Networks, Computer Carotid Artery, Internal Image Processing, Computer-Assisted Algorithms Brain Mapping
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Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping.

Environmental science and pollution research international Aug 19, 2024
This study was carried out with the aim of applying Condorcet and Borda scoring algorithms based on Game Theory (GT) to determine flood points and Flood Susceptibility Mapping (FSM) based on Machine Learning Algorithms (MLA) including Random Forest (...
Floods Game Theory Support Vector Machine Machine Learning Supervised Machine Learning Algorithms Iran
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Applying 12 machine learning algorithms and Non-negative Matrix Factorization for robust prediction of lupus nephritis.

Frontiers in immunology Aug 19, 2024
Lupus nephritis (LN) is a challenging condition with limited diagnostic and treatment options. In this study, we applied 12 distinct machine learning algorithms along with Non-negative Matrix Factorization (NMF) to analyze single-cell datasets from k...
Protein Interaction Maps Male Biomarkers Humans Computational Biology Lupus Nephritis Gene Expression Profiling Machine Learning Female Single-Cell Analysis Algorithms Adult
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High-percentage new energy distribution network line loss frequency division prediction based on wavelet transform and BIGRU-LSTM.

PloS one Aug 19, 2024
The access of new energy improves the flexibility of distribution network operation, but also leads to more complex mechanism of line loss. Therefore, starting from the nonlinear, fluctuating and multi-scale characteristics of line loss data, and bas...
Neural Networks, Computer Algorithms Wavelet Analysis
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An optimized model based on adaptive convolutional neural network and grey wolf algorithm for breast cancer diagnosis.

PloS one Aug 19, 2024
Medical image classification (IC) is a method for categorizing images according to the appropriate pathological stage. It is a crucial stage in computer-aided diagnosis (CAD) systems, which were created to help radiologists with reading and analyzing...
Female ROC Curve Humans Breast Neoplasms Support Vector Machine Neural Networks, Computer Diagnosis, Computer-Assisted Algorithms Mammography
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Machine-learning models for shoulder rehabilitation exercises classification using a wearable system.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Aug 18, 2024
PURPOSE: The objective of this study is to train and test machine-learning (ML) models to automatically classify shoulder rehabilitation exercises.
Algorithms Female Adult Humans Machine Learning Male Middle Aged Case-Control Studies Wearable Electronic Devices Exercise Therapy Rotator Cuff Injuries
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Improved visualization of intracranial distal arteries with multiple 2D slice dynamic ASL-MRA and super-resolution convolutional neural network.

Magnetic resonance in medicine Aug 18, 2024
PURPOSE: To develop a novel framework to improve the visualization of distal arteries in arterial spin labeling (ASL) dynamic MRA.
Magnetic Resonance Angiography Cerebrovascular Circulation Spin Labels Middle Aged Imaging, Three-Dimensional Image Processing, Computer-Assisted Cerebral Arteries Neural Networks, Computer Algorithms Brain Female Adult Male Humans
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Gait pattern modification based on ground contact adaptation using the robot-assisted training platform (RATP).

Medical & biological engineering & computing Aug 17, 2024
Robot-assisted rehabilitation and training systems are utilized to improve the functional recovery of individuals with mobility limitations. These systems offer structured rehabilitation through precise human-robot interaction, outperforming traditio...
Humans Algorithms Biomechanical Phenomena Robotics Walking Gait
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