Suchergebnisse - "unsupervised algorithm"

Comparative Analysis of Predictive Algorithms for Performance Measurement

Autoren: Swati Gupta Bal Kishan Preeti Gulia

Quelle: IEEE Access, Vol 12, Pp 33949-33958 (2024)

Schlagwörter: classification, Predictive algorithms, supervised algorithm, 0202 electrical engineering, electronic engineering, information engineering, unsupervised algorithm, regression, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, clustering, TK1-9971

Zugangs-URL: https://doaj.org/article/b7777e3fb7ab4400b38957e10d835210

A model to detect the fraud of electronic payment card transactions based on stream processing in big data

Autoren: Banirostam, Hamid orcid:0000-0003-4632- BaniRostm, Touraj et al.

Schlagwörter: Fraud, Transaction, E-Card, Unsupervised Algorithm, Supervised Algorithm

Relation: https://zenodo.org/records/14953110; oai:zenodo.org:14953110

Verfügbarkeit: https://doi.org/10.1007/s11265-023-01903-6/A
https://zenodo.org/records/14953110

Rapid Bacterial Detection and Identification of Bacterial Strains Using Machine Learning Methods Integrated With a Portable Multichannel Fluorometer

Autoren: Md Sadique Hasan Chad Sundberg Hasibul Hasan et al.

Quelle: IEEE Access, Vol 11, Pp 86112-86121 (2023)

Schlagwörter: machine learning, Bioburden, supervised algorithm, unsupervised algorithm, features, fluorescence, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Zugangs-URL: https://doaj.org/article/c43414d2858649e38b54e2f1b22138a7

An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders

Autoren: Díaz Álvarez, Josefa orcid:0000-0003-2105- Matias-Guiu, Jordi A. et al.

Schlagwörter: Machine Learning, Primary progressive aphasia, Supervised algorithm, Unsupervised algorithm, Clustering Analysis

Relation: https://zenodo.org/records/10618311; oai:zenodo.org:10618311

Verfügbarkeit: https://doi.org/10.1186/s12859-019-3027-7
https://zenodo.org/records/10618311

Empowering multi-source SAR Flood mapping with unsupervised learning

Autoren: Xin Jiang Zhenzhong Zeng

Quelle: Environmental Research Letters, Vol 20, Iss 1, p 014006 (2024)

Schlagwörter: SAR-based flood mapping, unsupervised algorithm, adaptability and scalability, high-performance cloud computing, global floods, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Science, Physics, QC1-999

Relation: https://doi.org/10.1088/1748-9326/ad9491; https://doaj.org/toc/1748-9326; https://doaj.org/article/b08ab7807b3b431fbf2f4cc31fc9f07e

Verfügbarkeit: https://doi.org/10.1088/1748-9326/ad9491
https://doaj.org/article/b08ab7807b3b431fbf2f4cc31fc9f07e

Clinical and Functional Outcomes in Faller and Non-Faller Older Adults Clustered by Self-Organizing Maps: A Machine-Learning Approach

Autoren: Milena L. S. Almeida Aline O. Cavalcanti Rebeca Sarai et al.

Quelle: Applied Sciences, Vol 14, Iss 16, p 7093 (2024)

Schlagwörter: falls, artificial intelligence, functional mobility, unsupervised algorithm, older adults, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/16/7093; https://doaj.org/toc/2076-3417; https://doaj.org/article/d216d923e36a4109826eaeaa3b624b7e

Verfügbarkeit: https://doi.org/10.3390/app14167093
https://doaj.org/article/d216d923e36a4109826eaeaa3b624b7e

Automated Crop Residue Estimation via Unsupervised Techniques Using High-Resolution UAS RGB Imagery

Autoren: Fatemeh Azimi Jinha Jung

Quelle: Remote Sensing, Vol 16, Iss 7, p 1135 (2024)

Schlagwörter: crop residue cover, tillage practice, agricultural management practices, line-point transect, UAS imagery, unsupervised algorithm, Science

Relation: https://www.mdpi.com/2072-4292/16/7/1135; https://doaj.org/toc/2072-4292; https://doaj.org/article/fd45dc597a944715b8ff49f0b63ee8f3

Verfügbarkeit: https://doi.org/10.3390/rs16071135
https://doaj.org/article/fd45dc597a944715b8ff49f0b63ee8f3

A Novel Single-Sample Retinal Vessel Segmentation Method Based on Grey Relational Analysis

Autoren: Yating Wang Hongjun Li

Quelle: Sensors, Vol 24, Iss 13, p 4326 (2024)

Schlagwörter: retinal vessel segmentation, grey relational analysis, adaptive discriminative filtering, unsupervised algorithm, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/13/4326; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/21ed1d4f9d6746f8b8844b12ffe799ed

Using local outlier factor to detect fraudulent claims in auto insurance

Autoren: Maryam Esna-Ashari Farzan Khamesian Farbod Khanizadeh

Quelle: Mathematics and Modeling in Finance, Vol 2, Iss 1, Pp 167-182 (2022)

Schlagwörter: unsupervised algorithm‎ fraud detection‎, ‎ auto insurance‎, classification, Finance, HG1-9999, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://jmmf.atu.ac.ir/article_15751_2f2ba44623887a08ac1310d445eab7ca.pdf; https://doaj.org/toc/2783-0578; https://doaj.org/toc/2783-056X

Zugangs-URL: https://doaj.org/article/8f54e742241d4c0c84230d3a3cf940c0

Generative AI for future Green Hydrogen Energy development and Dynamic Unsupervised algorithm for Trends in Hydrogen

Autoren: Jothi, Sathiskumar Devaraj Ramasamy

Schlagwörter: Generative Artificial Intelligence, Large language Model (LLM), Natural language Processing (NLP), 13. Climate action, Hydrogen energy, Generative Adversarial Networks (GAN), 7. Clean energy, Dynamic unsupervised algorithm

AutoDetect-mNP: An Unsupervised Machine Learning Algorithm for Automated Analysis of Transmission Electron Microscope Images of Metal Nanoparticles

Autoren: Jakob C. Dahl Ivan A. Moreno-Hernandez Hyun Dong Ha et al.

Quelle: JACS Au
JACS Au, Vol 1, Iss 3, Pp 316-327 (2021)
JACS Au, vol 1, iss 3

Schlagwörter: Chemical Sciences not elsewhere classified, unsupervised algorithm AutoDetect-mNP, Information Systems not elsewhere classified, TEM images, Bioengineering, 02 engineering and technology, cadmium selenide quantum dots, unsupervised learning, data analysis algorithms, Space Science, time-resolved TEM studies, image analysis, Transmission Electron Microscope Images, transmission electron microscopy, field TEM images, Nanotechnology, Nanostructured Materials - Materials, Unsupervised Machine Learning Algorithm, transmission electron microscope imaging, Molecular Biology, QD1-999, Chemistry, machine learning, Medicine, Nanoparticles, mNP synthesis, nanoparticles, TEM mNP images, 0210 nano-technology, gold nanocatalysts, Biotechnology, Biological Sciences not elsewhere classified

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubs.acs.org/doi/pdf/10.1021/jacsau.0c00030
https://pubmed.ncbi.nlm.nih.gov/33778811
https://doaj.org/article/496a61118b1d4f6993698e406755c872
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988451
https://doaj.org/article/496a61118b1d4f6993698e406755c872
https://pubmed.ncbi.nlm.nih.gov/33778811/
https://chemrxiv.org/engage/api-gateway/chemrxiv/assets/orp/resource/item/60c75497842e65349bdb4185/original/auto-detect-m-np-an-unsupervised-machine-learning-algorithm-for-automated-analysis-of-transmission-electron-microscope-images-of-metal-nanoparticles.pdf
https://pubs.acs.org/doi/10.1021/jacsau.0c00030
https://escholarship.org/uc/item/1w1770h3
https://escholarship.org/content/qt1w1770h3/qt1w1770h3.pdf
https://escholarship.org/uc/item/1w1770h3

Uncertainty managment in federated learning

Autoren: Asier Urío Larrea Bustince Sola, Humberto Pereira Dimuro, Graçaliz et al.

Weitere Verfasser: Asier Urío Larrea Bustince Sola, Humberto Pereira Dimuro, Graçaliz et al.

Quelle: Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra

Schlagwörter: Unsupervised algorithm, Teoría de conjuntos difusos, Ikaskuntza federatuko algoritmoak, Ziurgabetasunaren kudeaketa, Gainbegiratu gabea algoritmo, Management of uncertainty, Algoritmo no supervisado, Federated learning algorithms, Gainbegiratua algoritmo, Algoritmo supervisado, Multzo lausoen teoriaren, Fuzzy set theory, Supervised algorithm, Tratamiento de la incertidumbre, Algoritmos de aprendizaje federado

Dateibeschreibung: application/pdf

Zugangs-URL: https://academica-e.unavarra.es/handle/2454/53815

A Natural-Language-Processing-Based Method for the Clustering and Analysis of Movie Reviews and Classification by Genre

Autoren: Fernando González Miguel Torres-Ruiz Guadalupe Rivera-Torruco et al.

Quelle: Mathematics ; Volume 11 ; Issue 23 ; Pages: 4735

Schlagwörter: text document clustering, unsupervised algorithm, TF-IDF, text vectorization, machine learning, movie-reviews-based classification

Dateibeschreibung: application/pdf

Relation: D1: Probability and Statistics; https://dx.doi.org/10.3390/math11234735

Verfügbarkeit: https://doi.org/10.3390/math11234735

Unsupervised algorithm to classify immigration risk levels ; Algoritmo no supervisado para clasificar niveles de riesgo de inmigración

Autoren: Valles-Coral, Miguel Lazo-Bartra, Ulises Pinedo, Lloy et al.

Quelle: Data and Metadata; Vol. 2 (2023): Data & Metadata; 98 ; Data & Metadata; Vol. 2 (2023): Data & Metadata; 98 ; 2953-4917

Schlagwörter: unsupervised algorithm, migration quality, migration control, immigration inspectors, migration, algoritmo no supervisado, calidad migratoria, control migratorio, inspectores migratorios, migración

Dateibeschreibung: application/pdf; text/html

Relation: https://dm.saludcyt.ar/index.php/dm/article/view/98/225; https://dm.saludcyt.ar/index.php/dm/article/view/98/226; https://dm.saludcyt.ar/index.php/dm/article/view/98

Verfügbarkeit: https://dm.saludcyt.ar/index.php/dm/article/view/98
https://doi.org/10.56294/dm202398

Attack Detection in Smart Home IoT Networks using CluStream and Page-Hinkley Test

Autoren: Nakagawa F. H. Y. Barbon Junior S. Zarpelao B. B. et al.

Weitere Verfasser: Nakagawa F. H. Y. Barbon Junior S. Zarpelao B. B. et al.

Schlagwörter: Attack detection, Internet of Thing, Stream learning, Unsupervised algorithm

Relation: info:eu-repo/semantics/altIdentifier/isbn/978-1-6654-4035-6; info:eu-repo/semantics/altIdentifier/wos/WOS:000837978200018; ispartofbook:Proceedings - 2021 IEEE Latin-American Conference on Communications, LATINCOM 2021; 2021 IEEE Latin-American Conference on Communications, LATINCOM 2021; firstpage:1; lastpage:6; numberofpages:6; https://hdl.handle.net/11368/3014629

Verfügbarkeit: https://hdl.handle.net/11368/3014629
https://doi.org/10.1109/LATINCOM53176.2021.9647769

Acute kidney injury in intensive care: clinical clusters reveal metabolic profiles ; Insuffisance rénale aiguë en réanimation : des clusters cliniques révélateurs de profils métaboliques distincts

Autoren: Rouëssé, Timothée UFR Médecine Santé - Université Paris Cité (UFR Médecine UPCité) Université Paris Cité (UPCité) et al.

Weitere Verfasser: Rouëssé, Timothée UFR Médecine Santé - Université Paris Cité (UFR Médecine UPCité) Université Paris Cité (UPCité) et al.

Quelle: https://dumas.ccsd.cnrs.fr/dumas-05235096 ; Médecine humaine et pathologie. 2025.

Schlagwörter: Unsupervised algorithm, Metabolic profile, Renal recovery, LASSO, Biomarqueurs, Apprentissage automatique, Analyse en grappes, Profil métabolique, Récupération rénale, Algorithme non supervisé, Soins intensifs, Épuration extrarénale, Insuffisance rénale aiguë, MESH: Atteinte rénale aigüe, MESH: Toxines urémiques, MESH: Dialyse rénale, MESH: Marqueurs biologiques, MESH: Pronostic, MESH: Spectrométrie de masse, MESH: Acute Kidney Injury, MESH: Uremic Toxins, MESH: Metabolomics, MESH: Renal Replacement Therapy, MESH: Critical Care, MESH: Biomarkers, MESH: Machine Learning, MESH: Prognosis, MESH: Cluster Analysis, MESH: Mass Spectrometry, MESH: Métabolomique

Verfügbarkeit: https://dumas.ccsd.cnrs.fr/dumas-05235096
https://dumas.ccsd.cnrs.fr/dumas-05235096v1/document
https://dumas.ccsd.cnrs.fr/dumas-05235096v1/file/Medecine_ThEx_ROUESSE_Timothee_DUMAS.pdf

Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging

Autoren: Josefa Díaz-Álvarez Jordi A. Matias-Guiu María Nieves Cabrera-Martín et al.

Quelle: Frontiers in Aging Neuroscience, Vol 13 (2022)

Schlagwörter: positron emission tomography, Alzheimer’s disease, frontotemporal dementia, primary progressive aphasia, machine learning, unsupervised algorithm, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnagi.2021.708932/full; https://doaj.org/toc/1663-4365

Zugangs-URL: https://doaj.org/article/7e711cbf536a4f229bd965fc6fcb514c

Dictionary-based Classification of Tweets About Environment

Autoren: Cameletti, Michela Fabris, Silvia Schlosser, Stephan et al.

Weitere Verfasser: Cameletti, Michela Fabris, Silvia Schlosser, Stephan et al.

Schlagwörter: tweet filtering, big data analysi, dictionary-based selection, dictionary-based search, unsupervised algorithm, text analysis, Settore SECS-S/01 - Statistica, Settore SECS-S/03 - Statistica Economica

Dateibeschreibung: remote

Relation: volume:8; issue:1; firstpage:13; lastpage:32; journal:JOURNAL OF MATHEMATICS AND STATISTICAL SCIENCE; http://hdl.handle.net/10446/203283

Verfügbarkeit: http://hdl.handle.net/10446/203283

Genetic Algorithms for Optimized Diagnosis of Alzheimer's Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging

Autoren: Díaz Álvarez, Josefa Matias-Guiu Antem, Jordi A. Cabrera Martín, María Nieves et al.

Relation: https://www.frontiersin.org/articles/10.3389/fnagi.2021.708932/full

Zugangs-URL: http://hdl.handle.net/10662/19822

Genetic Algorithms for Optimized Diagnosis of Alzheimer's Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging

Autoren: Díaz-Álvarez, Josefa Matias-Guiu, Jordi A Cabrera-Martín, María Nieves et al.

Quelle: Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid
Consejería de Sanidad de la Comunidad de Madrid

Schlagwörter: evolutionary algorithm, machine learning, positron emission tomography, genetic algorithm, unsupervised algorithm, primary progressive aphasia, Alzheimer's disease, frontotemporal dementia

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/20.500.12530/106451