Cargando…

Application of Unsupervised Learning for the Evaluation of Aerogels’ Efficiency towards Dye Removal—A Principal Component Analysis (PCA) Approach

Water scarcity is a growing global issue, particularly in areas with limited freshwater sources, urging for sustainable water management practices to insure equitable access for all people. One way to address this problem is to implement advanced methods for treating existing contaminated water to o...

Descripción completa

Detalles Bibliográficos
Autores principales:	Younes, Khaled, Kharboutly, Yahya, Antar, Mayssara, Chaouk, Hamdi, Obeid, Emil, Mouhtady, Omar, Abu-samha, Mahmoud, Halwani, Jalal, Murshid, Nimer
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137516/ https://www.ncbi.nlm.nih.gov/pubmed/37102939 http://dx.doi.org/10.3390/gels9040327

Ejemplares similares

Application of Unsupervised Machine Learning for the Evaluation of Aerogels’ Efficiency towards Ion Removal—A Principal Component Analysis (PCA) Approach
por: Younes, Khaled, et al.
Publicado: (2023)

Towards Understanding Aerogels’ Efficiency for Oil Removal—A Principal Component Analysis Approach
por: Younes, Khaled, et al.
Publicado: (2023)

Metal Oxide Hydrogel Composites for Remediation of Dye-Contaminated Wastewater: Principal Component Analysis
por: Murshid, Nimer, et al.
Publicado: (2022)

The Application of Principal Component Analysis (PCA) for the Optimization of the Conditions of Fabrication of Electrospun Nanofibrous Membrane for Desalination and Ion Removal
por: Younes, Khaled, et al.
Publicado: (2021)

Evaluation of the Adsorption Efficiency of Graphene Oxide Hydrogels in Wastewater Dye Removal: Application of Principal Component Analysis
por: Mouhtady, Omar, et al.
Publicado: (2022)

Assessment of the Efficiency of Chemical and Thermochemical Depolymerization Methods for Lignin Valorization: Principal Component Analysis (PCA) Approach
por: Younes, Khaled, et al.
Publicado: (2022)

Application of Unsupervised Learning for the Evaluation of Burial Behavior of Geomaterials in Peatlands: Case of Lignin Moieties Yielded by Alkaline Oxidative Cleavage
por: Younes, Khaled, et al.
Publicado: (2023)

Evaluation of Dye Compounds’ Decolorization Capacity of Selected H. haematococca and T. harzianum Strains by Principal Component Analysis (PCA)
por: Rybczyńska, Kamila, et al.
Publicado: (2015)

Parameter estimation of the structured illumination pattern based on principal component analysis (PCA): PCA-SIM
por: Chen, Xin, et al.
Publicado: (2023)

Unsupervised Detection of Suspicious Tissue Using Data Modeling and PCA
por: Abdel-Qader, Ikhlas, et al.
Publicado: (2006)

Application of Principal Component Analysis (PCA) to the Evaluation and Screening of Multiactivity Fungi
por: Yang, Zonglin, et al.
Publicado: (2022)

Unsupervised feature extraction applied to bioinformatics: a PCA based and TD based approach
por: Taguchi, Y-h
Publicado: (2019)

GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge
por: Wagner, Florian
Publicado: (2015)

PCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients
por: Fujisawa, Kota, et al.
Publicado: (2021)

Dosimetric assessment of prostate cancer patients through principal component analysis (PCA)
por: Gloi, Aime M, et al.
Publicado: (2013)

pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components
por: Marini, Federico, et al.
Publicado: (2019)

OS-PCA: Orthogonal Smoothed Principal Component Analysis Applied to Metabolome Data
por: Yamamoto, Hiroyuki, et al.
Publicado: (2021)

Recent Advances in Nanocellulose Aerogels for Efficient Heavy Metal and Dye Removal
por: Ahmad, Azfaralariff, et al.
Publicado: (2023)

Chemometric Approach to Fatty Acid Profiles in Soybean Cultivars by Principal Component Analysis (PCA)
por: Shin, Eui-Cheol, et al.
Publicado: (2012)

Exploration of the Principal Component Analysis (PCA) Approach in Synthesizing the Diet Quality of the Malaysian Population
por: Ali, Asma’, et al.
Publicado: (2020)

A practical introduction to EEG Time-Frequency Principal Components Analysis (TF-PCA)
por: Buzzell, George A., et al.
Publicado: (2022)

Evaluation of stretch reflex synergies in the upper limb using principal component analysis (PCA)
por: Torell, Frida
Publicado: (2023)

BH3-Only Proteins Noxa and Puma Are Key Regulators of Induced Apoptosis
por: Roufayel, Rabih, et al.
Publicado: (2022)

Applied unsupervised learning with R: uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
por: Malik, Alok, et al.
Publicado: (2019)

Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints
por: Lovrić, Mario, et al.
Publicado: (2021)

Comparative Analyses of Unsupervised PCA K-Means Change Detection Algorithm from the Viewpoint of Follow-Up Plan
por: Kılıç, Deniz Kenan, et al.
Publicado: (2022)

GeoPCA: a new tool for multivariate analysis of dihedral angles based on principal component geodesics
por: Sargsyan, Karen, et al.
Publicado: (2012)

GSA-PCA: gene set generation by principal component analysis of the Laplacian matrix of a metabolic network
por: Jacobson, Dan, et al.
Publicado: (2012)

GeoPCA: a new tool for multivariate analysis of dihedral angles based on principal component geodesics
por: Sargsyan, Karen, et al.
Publicado: (2015)

Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated
por: Elhaik, Eran
Publicado: (2022)

SuSiE PCA: A scalable Bayesian variable selection technique for principal component analysis
por: Yuan, Dong, et al.
Publicado: (2023)

Synthesis of nanocellulose aerogels and Cu-BTC/nanocellulose aerogel composites for adsorption of organic dyes and heavy metal ions
por: Shaheed, Nuhaa, et al.
Publicado: (2021)

2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications
por: Du, Qi-Shi, et al.
Publicado: (2017)

Low-temperature thermal hydrolysis of sludge prior to anaerobic digestion: Principal component analysis (PCA) of experimental data
por: Meshref, Mohamed N.A., et al.
Publicado: (2021)

Optimization of 3D Cooling Channels in Plastic Injection Molds by Taguchi-Integrated Principal Component Analysis (PCA)
por: Minh, Pham Son, et al.
Publicado: (2023)

Preparation of Bio-Based Aerogel and Its Adsorption Properties for Organic Dyes
por: Li, Penghui, et al.
Publicado: (2022)

pcaGoPromoter - An R Package for Biological and Regulatory Interpretation of Principal Components in Genome-Wide Gene Expression Data
por: Hansen, Morten, et al.
Publicado: (2012)

Kernel principal component analysis (PCA) control chart for monitoring mixed non-linear variable and attribute quality characteristics
por: Ahsan, Muhammad, et al.
Publicado: (2022)

Entropy Generation and Statistical Analysis of MHD Hybrid Nanofluid Unsteady Squeezing Flow between Two Parallel Rotating Plates with Activation Energy
por: Murshid, Nimer, et al.
Publicado: (2022)

CDK5: Key Regulator of Apoptosis and Cell Survival
por: Roufayel, Rabih, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_tdcga6d6hs5ofnhjud8c6oith3