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   Articles with "neighborhood component" as a keyword



Optimizing multi-spectral ore sorting incorporating wavelength selection utilizing neighborhood component analysis for effective arsenic mineral detection

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-62166-0

Abstract: Arsenic contamination not only complicates mineral processing but also poses environmental and health risks. To address these challenges, this research investigates the feasibility of utilizing Hyperspectral imaging combined with machine learning techniques for the identification… read more here.

Keywords: mineral; analysis; component analysis; neighborhood component ... See more keywords

Multi-Tier Ensemble Learning Model With Neighborhood Component Analysis to Predict Health Diseases

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3117963

Abstract: Various well-known health diseases affect millions of people worldwide. In the early stage, the clinicians may not recognize various clinical symptoms due to lack of reflection or anything else matter. So, such diseases are not… read more here.

Keywords: ensemble learning; model; health diseases; multi tier ... See more keywords

Optimal Activity Recognition Framework Based on Improvement of Regularized Neighborhood Component Analysis (RNCA)

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3413822

Abstract: This study aims to investigate the alternative model structure based on a feature selection algorithm on multiple features-framework of human activity recognition (HAR) via wearable sensor-based modality. Neighborhood component analysis (NCA) is a linear transformation… read more here.

Keywords: neighborhood component; activity recognition; component analysis;

Toward Tightness of Scalable Neighborhood Component Analysis for Remote-Sensing Image Characterization

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3150722

Abstract: Deep metric learning methods have recently drawn significant attention in the field of remote sensing (RS), owing to their prominent capabilities for modeling relations among RS images based on their semantic contents. In the context… read more here.

Keywords: metric learning; image; scalable neighborhood; remote sensing ... See more keywords

A brainnetome atlas-based methamphetamine dependence identification using neighborhood component analysis and machine learning on functional MRI data

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recommendations! Published in 2022 at "Frontiers in Cellular Neuroscience"

DOI: 10.3389/fncel.2022.958437

Abstract: Addiction to methamphetamine (MA) is a major public health concern. Developing a predictive model that can classify and characterize the brain-based biomarkers predicting MA addicts may directly lead to improved treatment outcomes. In the current… read more here.

Keywords: brainnetome atlas; machine; machine learning; neighborhood component ... See more keywords