Species distribution modeling based on the automated identification of citizen observations
Sign Up to like & getrecommendations! 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
Computer vision‐based automated defect detection in ceramic bricks
Sign Up to like & getrecommendations! Published in 2024 at "Systems Research and Behavioral Science"
DOI: 10.1002/sres.3040
Abstract: Nowadays, the development of cost‐effective, data‐driven technological processes using telecommunication technologies is essential. One of the focuses is on automating the process of evaluating the manufactured goods' quality. Vision‐based technology is now becoming increasingly used… read more here.
Keywords: vision based; vision; automated defect; computer vision ... See more keywords
Prediction of survival by texture-based automated quantitative assessment of regional disease patterns on CT in idiopathic pulmonary fibrosis
Sign Up to like & getrecommendations! 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
Is there a clinical application for tablet-based automated audiometry in children?
Sign Up to like & getrecommendations! 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
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).
Sign Up to like & getrecommendations! 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
IoT-based automated system for water-related disease prediction
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-79989-6
Abstract: Having access to potable water is a fundamental right to well-being. Despite this, 3.4 million people die from diseases caused by water each year, and 1.1 billion people lack access to potable drinking water. Although… read more here.
Keywords: iot based; system; automated system; water ... See more keywords
Bio-derived solvent-based automated dispersive liquid-liquid microextraction for pretreatment of diamide insecticides in environmental water samples
Sign Up to like & getrecommendations! Published in 2024 at "Green Chemistry"
DOI: 10.1039/d4gc04467c
Abstract: A green, efficient, and cost-effective bio-derived solvent-based automated dispersive liquid-liquid microextraction (BDS-ADLLME) method was developed in the present study. A liquid handling platform with only the pipetting function module was... read more here.
Keywords: bio derived; automated dispersive; liquid; derived solvent ... See more keywords
Deep Learning–Based Automated Detection of Sewer Defects in CCTV Videos
Sign Up to like & getrecommendations! 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
Reidentification-Based Automated Matching for 3D Localization of Workers in Construction Sites
Sign Up to like & getrecommendations! 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
Assessment of the statistical optimization strategies and clinical evaluation of an artificial intelligence-based automated diagnostic system for thyroid nodule screening
Sign Up to like & getrecommendations! 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
Machine Learning Based Automated Segmentation and Hybrid Feature Analysis for Diabetic Retinopathy Classification Using Fundus Image
Sign Up to like & getrecommendations! 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