Výsledky vyhledávání - "Unsupervised Machine Learning Algorithm"

An unsupervised machine learning algorithm approach using K-Means Clustering for optimizing Surface Wave Filtering in seismic reflection data

Autoři: Hartono Hartono Haerul Anwar Rofiqul Umam a další

Zdroj: Journal of Natural Sciences and Mathematics Research. 10:114-127

A novel method for predicting ecological interactions with an unsupervised machine learning algorithm

Autoři: Sagar Adhurya Young‐Seuk Park

Zdroj: Methods in Ecology and Evolution, Vol 15, Iss 7, Pp 1247-1260 (2024)

Témata: 0106 biological sciences, 0301 basic medicine, Ecology, Evolution, metaweb, interaction validation, 01 natural sciences, Eltonian shortfall, interaction prediction, ecological interaction, 03 medical and health sciences, QH359-425, ecological network, QH540-549.5

Přístupová URL adresa: https://doaj.org/article/cf82de020bb7475fbebda113942342e8

High Dimensional Text Classification using Unsupervised Machine Learning Algorithm

Autoři: P. Naresh B. Akshay B. Rajasree a další

Zdroj: 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC). :368-372

Comparative Analysis of Outcomes in High KDPI Spectrum Kidney Transplants Using Unsupervised Machine Learning Algorithm

Autoři: Mahmoudreza Moein Alireza Golkarieh Isabella Vlassis a další

Zdroj: American Journal of Transplantation. 25:S384

Computationally-Affordable Unsupervised Machine Learning Algorithm to Identify the Level of Distress Severity in Pavement Functional Performance

Autoři: Nanning Guo Lingyun You Zhengwu Long a další

Zdroj: IEEE Transactions on Intelligent Transportation Systems. 24:7342-7356

Application of Unsupervised Machine Learning Algorithm in Patent Text Classification

Autoři: JiaHong Ma HaiYing Li

Zdroj: 2023 8th International Conference on Information Systems Engineering (ICISE). :379-384

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

Autoři: Jakob C. Dahl Ivan A. Moreno-Hernandez Hyun Dong Ha a další

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

Témata: 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

Popis souboru: application/pdf

Přístupová URL adresa: 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

Revisión de literatura sobre transmedia y narrativa usando un algoritmo de aprendizaje automático no supervisado.

Alternate Title: Literature review on transmedia and narrative using an unsupervised machine learning algorithm.

Autoři: Bohorquez-Lopez, Victor Wilfredo Gómez-Burns, Ana Elizabeth Estremadoyro-Bejarano, Sofía C. a další

Zdroj: Revista de Comunicación. sep2025-feb2026, Vol. 24 Issue 2, p17-35. 19p.

Témata: *TRANSMEDIA storytelling, *NARRATIVES, *COMMUNICATION strategies, *MACHINE learning, *FOCUS (Linguistics), *CATEGORIZATION (Linguistics), *DIGITAL technology

Comparison Of Unsupervised Machine Learning Algorithm F or Dimensionality Reduction

Autoři: Shilpa. Chippalakatti C. H. Renumadhavi Andhe Pallavi

Zdroj: 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES). :1-7

An unsupervised machine learning algorithm for in-situ defect-detection in laser powder-bed fusion

Autoři: Katayoon Taherkhani Christopher Eischer Ehsan Toyserkani

Zdroj: Journal of Manufacturing Processes. 81:476-489

Témata: 0209 industrial biotechnology, 0203 mechanical engineering, 02 engineering and technology

Endorsing a Hidden Plasmonic Mode for Enhancement of LSPR Sensing Performance in Evolved Metal–insulator Geometry Using an Unsupervised Machine Learning Algorithm

Autoři: Nikhil Bhalla Atul Thakur Irina S. Edelman a další

Zdroj: ACS Phys Chem Au
ACS Physical Chemistry Au, Vol 2, Iss 6, Pp 459-467 (2022)

Témata: Physical and theoretical chemistry, QD450-801, 02 engineering and technology, 0210 nano-technology

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36855609
https://doaj.org/article/a112db796c2944679ac07b8a866cc154

Automated Detection of ERP artifacts of auditory oddball paradigm by Unsupervised Machine Learning Algorithm

Autoři: Rafia Akhter Faraz Ahmad Fred R. Beyette

Zdroj: 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). :1-8

Témata: 03 medical and health sciences, 0302 clinical medicine

Fraud Detection in Credit Card Data Using Unsupervised Machine Learning Algorithm

Autoři: Deepali Kawade Sanket Lalge Dr. Manisha Bharati

Zdroj: International Journal for Research in Applied Science and Engineering Technology. 10:5249-5256

Monitoring COVID-19 Cases and Vaccination in Indian States and Union Territories Using Unsupervised Machine Learning Algorithm

Autoři: S. Chakraborty

Zdroj: Ann. Data. Sci.

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38625290

AN UNSUPERVISED MACHINE LEARNING ALGORITHM: PCA (PRINCIPAL COMPONENT ANALYSIS) COMPREHENSIVE REVIEW

Zdroj: International Research Journal of Modernization in Engineering Technology and Science.

An Unsupervised Machine Learning Algorithm for Attack and Anomaly Detection in IoT Sensors

Autoři: Someah Alangari

Zdroj: Wireless Personal Communications.

Forming an optimal GNSS Network for 2-D Ionospheric mapping by Unsupervised Machine Learning Algorithm for any geographical boundary

Autoři: Nirvikar Dashora Babu Sree Harsha Pasumarthi

Zdroj: Proceedings of the 6th URSI Regional Conference on Radio Science – RCRS 2024.

Abstract 18015: Cardiopulmonary Exercise Testing Parameters-Based Phenogroups of Patients With Heart Failure With Reduced Ejection Fraction Using an Unsupervised Machine Learning Algorithm

Autoři: Thanat Chaikijurajai Silvio N Augusto Timothy Engelman a další

Zdroj: Circulation. 148

Témata: 03 medical and health sciences, 0302 clinical medicine, 3. Good health

Feature Identification With a Heuristic Algorithm and an Unsupervised Machine Learning Algorithm for Prior Knowledge of Gait Events

Autoři: Seth R. Donahue Michael E. Hahn

Zdroj: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 108-114 (2022)

Témata: 0301 basic medicine, real-world gait event detection, RM1-950, Walking, Inertial measurement units, Biomechanical Phenomena, 03 medical and health sciences, 0302 clinical medicine, Medical technology, Heuristics, Humans, Therapeutics. Pharmacology, R855-855.5, unsupervised machine learning, Gait, Algorithms, Unsupervised Machine Learning

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/7333/4359219/09631374.pdf
https://pubmed.ncbi.nlm.nih.gov/34851829
https://doaj.org/article/93e2fad397c44cd5937a21f500f7f6be
http://xplorestaging.ieee.org/ielx7/7333/4359219/09631374.pdf?arnumber=9631374
https://www.ncbi.nlm.nih.gov/pubmed/34851829

Detection Of Event-Related Potential Artifacts Of Oddball Paradigm By Unsupervised Machine Learning Algorithm

Autoři: Rafia Akhter Fred Beyette

Zdroj: Advances in Science, Technology and Engineering Systems Journal. 7:157-166