AIMC Topic: Support Vector Machine

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EEG microstate analysis in children with prolonged disorders of consciousness.

Scientific reports Jul 18, 2025
Prolonged disorders of consciousness (pDoC) in children lack objective and effective diagnostic methods to assess consciousness states, hindering targeted treatment selection and delaying recovery. It remains unclear whether EEG microstate analysis, ...
Humans Male Case-Control Studies Child, Preschool Brain Female Consciousness Disorders Electroencephalography Consciousness Child Persistent Vegetative State Support Vector Machine
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Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization.

Scientific reports Jul 18, 2025
Effective speech emotion recognition (SER) poses a significant challenge due to the intricate and subjective nature of human emotions. Recognizing emotional states accurately from speech signals has a broad spectrum of practical applications, such as...
Emotions Autoencoder Humans Speech Support Vector Machine Algorithms Deep Learning Neural Networks, Computer
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DNA sequence classification for diabetes mellitus using NuSVC and XGBoost: A comparative.

PloS one Jul 18, 2025
Diabetes Mellitus is a global health concern, characterized by high blood sugar levels over a prolonged period, leading to severe complications if left unmanaged. The early identification of individuals at risk is critical for effective intervention ...
Humans Support Vector Machine Sequence Analysis, DNA Boosting Machine Learning Algorithms Machine Learning Diabetes Mellitus
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Sceptic: pseudotime analysis for time-series single-cell sequencing and imaging data.

Genome biology Jul 17, 2025
Several computational methods have been developed to construct single-cell pseudotime embeddings for extracting the temporal order of transcriptional cell states from time-series scRNA-seq datasets. However, existing methods suffer from low predictiv...
Computational Biology Sequence Analysis, RNA Support Vector Machine Algorithms Single-Cell Analysis Image Processing, Computer-Assisted Humans
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx.

PloS one Jul 17, 2025
Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. This study aims to enhanc...
Computer Security Group Dynamics Support Vector Machine Internet Humans Models, Theoretical
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A novel machine learning architecture to improve classification of intermediate cases in health: workflow and case study for public health.

BMC bioinformatics Jul 16, 2025
BACKGROUND: The practice of medicine has evolved significantly during the past decade, with the emergence of Machine Learning (ML) that offers the opportunity of personalized patient-tailored care. However, ML models still face some challenges when c...
Humans Workflow Neural Networks, Computer Algorithms Pandemics Public Health Health Personnel Machine Learning COVID-19 Support Vector Machine SARS-CoV-2
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A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization.

Scientific reports Jul 16, 2025
With human guidance, computers now use machine learning (ML) in artificial intelligence (AI) to learn from data, detect trends, and make predictions. Software can adapt and improve with new information. Imaging scans leverage pattern recognition to p...
Algorithms Computational Biology Tuberculosis Mycobacterium tuberculosis Humans Support Vector Machine Machine Learning Molecular Sequence Annotation
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Fusion of microscopic and diffraction images with VGG net for budding yeast recognition in imaging flow cytometry.

Scientific reports Jul 16, 2025
Microscopic-Diffraction Imaging Flow Cytometry (MDIFC) is a high-throughput, stain-free technology that captures paired microscopic and diffraction images of cellular events, utilizing machine learning for the classification of cell subpopulations. H...
Image Cytometry Support Vector Machine Flow Cytometry Algorithms Neural Networks, Computer Saccharomyces cerevisiae Deep Learning Microscopy Saccharomycetales Image Processing, Computer-Assisted
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Automated multi-model framework for malaria detection using deep learning and feature fusion.

Scientific reports Jul 16, 2025
Malaria remains a critical global health challenge, particularly in tropical and subtropical regions. While traditional methods for diagnosis are effective, they face some limitations related to accuracy, time consumption, and manual effort. This stu...
Support Vector Machine Malaria Algorithms Deep Learning Humans
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Learning quality-guided multi-layer features for classifying visual types with ball sports application.

Scientific reports Jul 15, 2025
Nowadays, breast cancer is one of the leading causes of death among women. This highlights the need for precise X-ray image analysis in the medical and imaging fields. In this study, we present an advanced perceptual deep learning framework that extr...
Support Vector Machine Visual Perception Humans Breast Neoplasms Female Deep Learning Image Processing, Computer-Assisted
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