Articles with "based automated" as a keyword



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Species distribution modeling based on the automated identification of citizen observations

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Published in 2018 at "Applications in Plant Sciences"

DOI: 10.1002/aps3.1029

Abstract: Premise of the Study A species distribution model computed with automatically identified plant observations was developed and evaluated to contribute to future ecological studies. Methods We used deep learning techniques to automatically identify opportunistic plant… read more here.

Keywords: distribution modeling; modeling based; automated identification; based automated ... See more keywords
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Prediction of survival by texture-based automated quantitative assessment of regional disease patterns on CT in idiopathic pulmonary fibrosis

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Published in 2017 at "European Radiology"

DOI: 10.1007/s00330-017-5028-0

Abstract: AbstractObjectivesTo retrospectively investigate whether the baseline extent and 1-year change in regional disease patterns on CT can predict survival of patients with idiopathic pulmonary fibrosis (IPF).MethodsA total of 144 IPF patients with CT scans at… read more here.

Keywords: fibrosis; regional disease; based automated; fibrosis score ... See more keywords
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Is there a clinical application for tablet-based automated audiometry in children?

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Published in 2018 at "International journal of pediatric otorhinolaryngology"

DOI: 10.1016/j.ijporl.2018.04.029

Abstract: INTRODUCTION Recent research supports the clinical use of automated audiometry for pediatric hearing screenings. However, very few studies have tested whether tablet-based automated audiometry can offer a valid alternative to traditional manual audiometry for estimation… read more here.

Keywords: tablet based; audiometry; automated audiometry; based automated ... See more keywords
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Selective and Fast Analysis of Chlorinated Paraffins in the Presence of Chlorinated Mono-, Di-, and Tri-Olefins with the R-Based Automated Spectra Evaluation Routine (RASER).

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Published in 2022 at "Analytical chemistry"

DOI: 10.1021/acs.analchem.2c02240

Abstract: Chlorinated paraffins (CPs) are complex mixtures consisting of various C homologues (nC ≈ 10-30) and Cl homologues (nCl ≈ 2-20). Technical CP mixtures are produced on a large scale (>106 t/y) and are widely used… read more here.

Keywords: evaluation; automated spectra; evaluation routine; chlorinated paraffins ... See more keywords
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Deep Learning–Based Automated Detection of Sewer Defects in CCTV Videos

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Published in 2020 at "Journal of Computing in Civil Engineering"

DOI: 10.1061/(asce)cp.1943-5487.0000866

Abstract: AbstractAutomated interpretation of closed-circuit television (CCTV) inspection videos could improve the speed and consistency of sewer condition assessment. Previous approaches focus on defect cla... read more here.

Keywords: automated detection; detection sewer; sewer defects; deep learning ... See more keywords
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Reidentification-Based Automated Matching for 3D Localization of Workers in Construction Sites

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Published in 2021 at "Journal of Computing in Civil Engineering"

DOI: 10.1061/(asce)cp.1943-5487.0000975

Abstract: AbstractThe location information of entities in construction sites, such as workers and construction machines, is valuable in project management and safety. Therefore, as nonintrusive and accurate ... read more here.

Keywords: construction sites; based automated; reidentification based; workers construction ... See more keywords
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Assessment of the statistical optimization strategies and clinical evaluation of an artificial intelligence-based automated diagnostic system for thyroid nodule screening

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Published in 2022 at "Quantitative Imaging in Medicine and Surgery"

DOI: 10.21037/qims-22-85

Abstract: Background Thyroid cancer is the most common endocrine cancer in the world. Accurately distinguishing between benign and malignant thyroid nodules is particularly important for the early diagnosis and treatment of thyroid cancer. This study aimed… read more here.

Keywords: system; nodule; thyroid nodules; automated diagnostic ... See more keywords
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Machine Learning Based Automated Segmentation and Hybrid Feature Analysis for Diabetic Retinopathy Classification Using Fundus Image

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Published in 2020 at "Entropy"

DOI: 10.3390/e22050567

Abstract: The object of this study was to demonstrate the ability of machine learning (ML) methods for the segmentation and classification of diabetic retinopathy (DR). Two-dimensional (2D) retinal fundus (RF) images were used. The datasets of… read more here.

Keywords: hybrid feature; classification; machine learning; diabetic retinopathy ... See more keywords
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Development and Validation of a Wearable Inertial Sensors-Based Automated System for Assessing Work-Related Musculoskeletal Disorders in the Workspace

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Published in 2020 at "International Journal of Environmental Research and Public Health"

DOI: 10.3390/ijerph17176050

Abstract: The industrial societies face difficulty applying traditional work-related musculoskeletal disorder (WMSD) risk assessment methods in practical applications due to in-situ task dynamics, complex data processing, and the need of ergonomics professionals. This study aims to… read more here.

Keywords: system; wearable inertial; sensors based; inertial sensors ... See more keywords
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Assessment of Cognitive Impairment in a Mouse Model of High-Fat Diet-Induced Metabolic Stress with Touchscreen-Based Automated Battery System

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Published in 2018 at "Experimental Neurobiology"

DOI: 10.5607/en.2018.27.4.277

Abstract: Obesity-related metabolic disorders can affect not only systemic health but also brain function. Recent studies have elucidated that amyloid beta deposition cannot satisfactorily explain the development of Alzheimer's disease (AD) and that dysregulation of glucose… read more here.

Keywords: system; based automated; mice; induced metabolic ... See more keywords