Articles with "feature analysis" as a keyword



Usefulness of feature analysis of breast-specific gamma imaging for predicting malignancy

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Published in 2018 at "European Radiology"

DOI: 10.1007/s00330-018-5563-3

Abstract: ObjectivesThe purpose of this study was to investigate which feature of the breast-specific gamma imaging (BSGI) uptake in women who were recently diagnosed with breast cancer was associated with malignancy.MethodsData on 231 newly diagnosed breast… read more here.

Keywords: malignancy; feature analysis; mass; breast ... See more keywords

Human fall detection using slow feature analysis

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Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-5638-9

Abstract: Falls are reported to be the leading causes of accidental deaths among elderly people. Automatic detection of falls from video sequences is an assistant technology for low-cost health care systems. In this paper, we present… read more here.

Keywords: feature analysis; slow feature; feature; fall detection ... See more keywords

Radiomics and visual analysis for predicting success of transplantation of heterotopic glioblastoma in mice with MRI

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Published in 2024 at "Journal of Neuro-Oncology"

DOI: 10.1007/s11060-024-04725-z

Abstract: Quantifying tumor growth and treatment response noninvasively poses a challenge to all experimental tumor models. The aim of our study was, to assess the value of quantitative and visual examination and radiomic feature analysis of… read more here.

Keywords: mice; feature analysis; tcp tcp; analysis ... See more keywords
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Erratum to: Geometrical feature analysis and disaster assessment of the Xinmo landslide based on remote sensing data

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Published in 2017 at "Journal of Mountain Science"

DOI: 10.1007/s11629-017-4497-6

Abstract: The fund name “National Key Technologies R&D Program of China” in the section of “Acknowledgements” is incorrect.The correct fund name is “National Key Research and Development Program of China”. read more here.

Keywords: erratum geometrical; feature analysis; assessment xinmo; analysis disaster ... See more keywords

A Systematic Approach to Dynamic Monitoring of Industrial Processes Based on Second-Order Slow Feature Analysis

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Published in 2018 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2018.09.331

Abstract: Abstract Slow feature analysis has proven to be an effective process monitoring and fault diagnosis approach. By isolating temporal behaviors from steady-state variations in process data, slow feature analysis enables a concurrent monitoring of operating… read more here.

Keywords: process; feature analysis; slow feature; order ... See more keywords

Frequency-based slow feature analysis

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Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.08.067

Abstract: Abstract Slow Feature Analysis (SFA) is an unsupervised learning algorithm which extracts slowly varying features from a temporal vectorial signal. In SFA, feature slowness is measured by the average value of its squared time-derivative. In… read more here.

Keywords: feature analysis; feature; frequency; slow feature ... See more keywords

Spectral Zones-Based SHAP/LIME: Enhancing Interpretability in Spectral Deep Learning Models Through Grouped Feature Analysis

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Published in 2024 at "Analytical Chemistry"

DOI: 10.1021/acs.analchem.4c02329

Abstract: Interpretability is just as important as accuracy when it comes to complex models, especially in the context of deep learning models. Explainable artificial intelligence (XAI) approaches have been developed to address this problem. The literature… read more here.

Keywords: deep learning; feature analysis; learning models; spectral zones ... See more keywords

Concurrent Monitoring Strategy for Static and Dynamic Deviations Based on Selective Ensemble Learning Using Slow Feature Analysis

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Published in 2020 at "Industrial & Engineering Chemistry Research"

DOI: 10.1021/acs.iecr.9b05547

Abstract: Slow feature analysis (SFA) has been extensively adopted for process monitoring. Since the prominent ability of exploring dynamic information of the industrial process, SFA could monitor the proces... read more here.

Keywords: feature analysis; slow feature; concurrent monitoring;

Fault Detection of Non-Gaussian and Nonlinear Processes Based on Independent Slow Feature Analysis

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Published in 2022 at "ACS Omega"

DOI: 10.1021/acsomega.1c06649

Abstract: Independent component analysis (ICA) is an excellent latent variables (LVs) extraction method that can maximize the non-Gaussianity between LVs to extract statistically independent latent variables and which has been widely used in multivariate statistical process… read more here.

Keywords: slow feature; fault detection; feature analysis; detection ... See more keywords

Multidimensional Feature Explorer for Unbalanced Spatiotemporal Data

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Published in 2019 at "Earth and Space Science"

DOI: 10.1029/2018ea000514

Abstract: Feature analysis of weak nonlinear signals from geographic spatiotemporal data has received increasing attention. Most existing signal processing methods cannot effectively perform comprehensive feature analysis because of the multiple dimensions and unbalance of spatiotemporal data.… read more here.

Keywords: spatiotemporal data; multidimensional feature; feature; feature analysis ... See more keywords

Artificial intelligence supported facial feature analysis in medical genetics.

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Published in 2025 at "Current opinion in pediatrics"

DOI: 10.1097/mop.0000000000001487

Abstract: PURPOSE OF REVIEW This review highlights recent developments in the use of machine learning supported facial feature analysis in the context of genetic and syndromic conditions. The review focusses on 2D image-based tools. The 2D… read more here.

Keywords: genetics; feature analysis; medical genetics; analysis ... See more keywords