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Year Number of Results
2011 1
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2020 2
2021 2
2022 2
2023 4
2024 2

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15 results

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Page 1
Machine learning: Next promising trend for microplastics study.
Su J, Zhang F, Yu C, Zhang Y, Wang J, Wang C, Wang H, Jiang H. Su J, et al. J Environ Manage. 2023 Oct 15;344:118756. doi: 10.1016/j.jenvman.2023.118756. Epub 2023 Aug 11. J Environ Manage. 2023. PMID: 37573697 Review.
Machine Learning (ML) has emerged as a vital technology for analyzing MPs pollution due to its accuracy, broad application, and powerful feature extraction. Nevertheless, environmental scientists require threshold knowledge before using ML, restricting the ML applic …
Machine Learning (ML) has emerged as a vital technology for analyzing MPs pollution due to its accuracy, broad application, and powerful …
Trends in digital image processing of isolated microalgae by incorporating classification algorithm.
Chong JWR, Khoo KS, Chew KW, Ting HY, Show PL. Chong JWR, et al. Biotechnol Adv. 2023 Mar-Apr;63:108095. doi: 10.1016/j.biotechadv.2023.108095. Epub 2023 Jan 3. Biotechnol Adv. 2023. PMID: 36608745 Review.
Recently, microalgae species identification has been conducted through DNA analysis and various microscopy techniques such as light, scanning electron, transmission electron, and atomic force -microscopy. ...This review highlights the potential innovations in digital micro …
Recently, microalgae species identification has been conducted through DNA analysis and various microscopy techniques such as light, …
Methods to quantitate videocapsule endoscopy images in celiac disease.
Ciaccio EJ, Tennyson CA, Bhagat G, Lewis SK, Green PH. Ciaccio EJ, et al. Biomed Mater Eng. 2014;24(6):1895-911. doi: 10.3233/BME-140999. Biomed Mater Eng. 2014. PMID: 25226886 Review.
For videocapsule endoscopic analysis, each patient swallows a capsule which contains an imaging device and light source. In celiac and control patients, images are acquired and analyzed at the level of the small intestine. ...To detect and discern these abnormalitie …
For videocapsule endoscopic analysis, each patient swallows a capsule which contains an imaging device and light source. In ce …
SHERPA: an image segmentation and outline feature extraction tool for diatoms and other objects.
Kloster M, Kauer G, Beszteri B. Kloster M, et al. BMC Bioinformatics. 2014 Jun 25;15:218. doi: 10.1186/1471-2105-15-218. BMC Bioinformatics. 2014. PMID: 24964954 Free PMC article.
While methodological reports for a wide variety of methods for image segmentation, diatom identification and feature extraction are available, no single implementation combining a subset of these into a readily applicable workflow accessible to diatomists exists. .. …
While methodological reports for a wide variety of methods for image segmentation, diatom identification and feature extraction …
Automated segmentation and analysis of retinal microglia within ImageJ.
Ash NF, Massengill MT, Harmer L, Jafri A, Lewin AS. Ash NF, et al. Exp Eye Res. 2021 Feb;203:108416. doi: 10.1016/j.exer.2020.108416. Epub 2020 Dec 24. Exp Eye Res. 2021. PMID: 33359513 Free PMC article.
Tracking cell position relative to retinal vasculature, we observed population migration towards the photoreceptor layer beginning 12 h post light damage. Using feature selection with Chi(2) and principal component analysis, we resolved cells along a morpholo …
Tracking cell position relative to retinal vasculature, we observed population migration towards the photoreceptor layer beginning 12 h post …
Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding.
Yuan Q, Chen K, Yu Y, Le NQK, Chua MCH. Yuan Q, et al. Brief Bioinform. 2023 Jan 19;24(1):bbac630. doi: 10.1093/bib/bbac630. Brief Bioinform. 2023. PMID: 36642410
The process includes the input of the peptide sequences, feature extraction in terms of ordinal encoding with positional information and handcrafted features, and finally feature selection. ...Light Gradient Boosting Machine (LightGBM) wa …
The process includes the input of the peptide sequences, feature extraction in terms of ordinal encoding with positional infor …
Noninvasive Hemoglobin Level Prediction in a Mobile Phone Environment: State of the Art Review and Recommendations.
Hasan MK, Aziz MH, Zarif MII, Hasan M, Hashem M, Guha S, Love RR, Ahamed S. Hasan MK, et al. JMIR Mhealth Uhealth. 2021 Apr 8;9(4):e16806. doi: 10.2196/16806. JMIR Mhealth Uhealth. 2021. PMID: 33830065 Free PMC article.
We compared the variation in data collection sites, biosignal processing techniques, theoretical foundations, photoplethysmogram (PPG) signal and features extraction process, machine-learning algorithms, and prediction models to calculate hemoglobin levels. . …
We compared the variation in data collection sites, biosignal processing techniques, theoretical foundations, photoplethysmogram (PPG) signa …
Identification of tree species based on the fusion of UAV hyperspectral image and LiDAR data in a coniferous and broad-leaved mixed forest in Northeast China.
Zhong H, Lin W, Liu H, Ma N, Liu K, Cao R, Wang T, Ren Z. Zhong H, et al. Front Plant Sci. 2022 Sep 23;13:964769. doi: 10.3389/fpls.2022.964769. eCollection 2022. Front Plant Sci. 2022. PMID: 36212338 Free PMC article.
Then, different hyperspectral and LiDAR features were extracted, respectively, and the importance of the features was analyzed by a random forest (RF) algorithm in order to select appropriate features for the single-source and mult …
Then, different hyperspectral and LiDAR features were extracted, respectively, and the importance of the features was a …
Prediction of hot spots in protein-DNA binding interfaces based on discrete wavelet transform and wavelet packet transform.
Sun Y, Wu H, Xu Z, Yue Z, Li K. Sun Y, et al. BMC Bioinformatics. 2023 Apr 4;24(1):129. doi: 10.1186/s12859-023-05263-7. BMC Bioinformatics. 2023. PMID: 37016308 Free PMC article.
To deal with the unbalanced dataset, we used the Synthetic Minority Over-sampling Technique to generate minority class samples to achieve the balance of dataset. First, we extracted the solvent accessible surface area features and structural features, and the …
To deal with the unbalanced dataset, we used the Synthetic Minority Over-sampling Technique to generate minority class samples to achieve th …
A data-guided approach for the evaluation of zeolites for hydrogen storage with the aid of molecular simulations.
Manda T, Barasa GO, Louis H, Irfan A, Agumba JO, Lugasi SO, Pembere AMS. Manda T, et al. J Mol Model. 2024 Jan 18;30(2):43. doi: 10.1007/s00894-024-05837-z. J Mol Model. 2024. PMID: 38236500
A machine learning algorithm was used to rank the importance of various structural features such as mass (M), density (D), helium void fraction (HVF), accessible pore volume (APV), gravimetric surface area (GSA), and largest overall cavity diameter (Di) and how they …
A machine learning algorithm was used to rank the importance of various structural features such as mass (M), density (D), hel …
15 results