AIMC Topic: Algorithms

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A model of mobile robots in networks with resolvability properties.

PloS one Jun 17, 2025
A model for mobility of robots keeping the property of uniquely recognizing the vertices of a given network is considered in this work. This is made in order to detect failures or intruders, by means of dynamic vectors of distances to the set of mobi...
Algorithms Robotics Models, Theoretical
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Arrhythmia classification based on multi-input convolutional neural network with attention mechanism.

PloS one Jun 17, 2025
Arrhythmia is a prevalent cardiac disorder that can lead to severe complications such as stroke and cardiac arrest. While deep learning has advanced automated ECG analysis, challenges remain in accurately classifying arrhythmias due to signal variabi...
Arrhythmias, Cardiac Algorithms Humans Databases, Factual Convolutional Neural Networks Neural Networks, Computer Deep Learning Electrocardiography Signal Processing, Computer-Assisted
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Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population.

PloS one Jun 17, 2025
BACKGROUND: Cardiovascular disease (CVD) is a significant public health challenge in the Western Pacific region, including Malaysia.
Bayes Theorem Heart Disease Risk Factors Algorithms Support Vector Machine Female Malaysia Risk Factors Humans Machine Learning Cardiovascular Diseases Aged Middle Aged Adult Risk Assessment Male
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A novel Swin transformer based framework for speech recognition for dysarthria.

Scientific reports Jun 16, 2025
Dysarthria frequently occurs in individuals with disorders such as stroke, Parkinson's disease, cerebral palsy, and other neurological disorders. Well-timed detection and management of dysarthria in these patients is imperative for efficiently handli...
Dysarthria Humans Machine Learning Algorithms Speech Speech Recognition Software
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Fast and accurate lung cancer subtype classication and localization based on Intraoperative frozen sections of lung adenocarcinoma.

Biomedical physics & engineering express Jun 16, 2025
Current lung cancer diagnostic techniques primarily focus on tissue subtype classification, yet remain inadequate in distinguishing pathological progression subtypes (particularly between adenocarcinomaand invasive adenocarcinoma) on frozen sections....
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Frozen Sections Lung Neoplasms Intraoperative Period Adenocarcinoma of Lung
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The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas Jun 16, 2025
Many ways of classifying steatotic liver disease (SLD) with metabolic conditions have been proposed. Thus, SLD-related variables were verified using a decision tree. We tested if the suggested components of the actual classification (metabolic dysfun...
Artificial Intelligence Algorithms Female Risk Factors Aged Body Mass Index Young Adult Metabolic Syndrome Middle Aged Decision Trees Humans Primary Health Care Fatty Liver Adult Cross-Sectional Studies Male
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Predicting Coronary Heart Disease Using Data Mining and Machine Learning Solutions.

Anais da Academia Brasileira de Ciencias Jun 16, 2025
This research focuses on predicting cardiovascular disease using machine learning classification strategies. The study presents a unique approach by integrating multiple machine learning techniques, leveraging the strengths of Random Forest and Gradi...
Coronary Disease Humans Decision Trees Machine Learning Female Algorithms Bayes Theorem Male Data Mining
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Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approach.

European radiology experimental Jun 14, 2025
OBJECTIVES: To evaluate a deep learning sequence-adaptive liver multiparametric MRI (mpMRI) assessment with validation in different populations using total and segmental T1 and T2 relaxation time maps.
Humans Algorithms Deep Learning Liver Cirrhosis Liver Image Interpretation, Computer-Assisted Multiparametric Magnetic Resonance Imaging Adult Male Middle Aged Female Aged
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Comprehensive statistical and machine learning framework for identification of metabolomic biomarkers in breast cancer.

Metabolomics : Official journal of the Metabolomic Society Jun 14, 2025
INTRODUCTION: Breast cancer is the most common cancer among women, with its burden increasing over the past decades. Early diagnosis significantly improves survival rates and reduces lethality. Innovative technologies are being developed for early de...
Breast Neoplasms Biomarkers, Tumor Metabolomics Machine Learning Algorithms Female Metabolome Humans
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MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep Model.

Journal of chemical information and modeling Jun 13, 2025
Protein solubility plays a critical role in determining its biological function, such as enabling proper protein delivery and ensuring that proteins remain soluble during cellular processes or therapeutic applications. Accurate prediction of protein ...
Computational Biology Proteins Solubility Algorithms Deep Learning
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