Výsledky vyhledávání - Unsupervised Machine Learning Methods

A novel framework for groundwater quality evaluation in industrial zone using unsupervised machine learning methods.

Autoři: Panneerselvam M Govindan V Sakthivel LP

Zdroj: Environmental geochemistry and health [Environ Geochem Health] 2026 Feb 14; Vol. 48 (4), pp. 161. Date of Electronic Publication: 2026 Feb 14.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Kluwer Academic Publishers Country of Publication: Netherlands NLM ID: 8903118 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2983 (Electronic) Linking ISSN: 02694042 NLM ISO Abbreviation: Environ Geochem Health Subsets: MEDLINE

Výrazy ze slovníku MeSH: Groundwater*/chemistry , Groundwater*/analysis , Environmental Monitoring*/methods , Water Pollutants, Chemical*/analysis , Water Quality* , Unsupervised Machine Learning*, India ; Seasons ; Humans ; Principal Component Analysis ; Industry ; Risk Assessment ; Cluster Analysis

Review of unsupervised machine learning methods in active infrared thermography for defect detection and analysis

Autoři: Yi Liu Yuan Yao Fumin Wang a další

Zdroj: Quantitative InfraRed Thermography Journal. :1-28

Témata: active infrared thermography, defect detection, Non-destructive testing, review, thermographic data analysis, unsupervised machine learning

Přístupová URL adresa: https://www.tandfonline.com/doi/full/10.1080/17686733.2025.2540662?af=R
https://hdl.handle.net/11697/269960
https://doi.org/10.1080/17686733.2025.2540662

Using unsupervised machine learning methods to cluster cardio-metabolic profile of the middle-aged and elderly Chinese with general and central obesity.

Autoři: Xue Y Song M Ung COL a další

Zdroj: BMC cardiovascular disorders [BMC Cardiovasc Disord] 2025 Oct 27; Vol. 25 (1), pp. 772. Date of Electronic Publication: 2025 Oct 27.

Způsob vydávání: Journal Article; Comparative Study

Informace o časopise: Publisher: BioMed Central Country of Publication: England NLM ID: 100968539 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2261 (Electronic) Linking ISSN: 14712261 NLM ISO Abbreviation: BMC Cardiovasc Disord Subsets: MEDLINE

Výrazy ze slovníku MeSH: Obesity, Abdominal*/diagnosis , Obesity, Abdominal*/epidemiology , Obesity, Abdominal*/physiopathology , Obesity, Abdominal*/blood , Obesity*/diagnosis , Obesity*/epidemiology , Obesity*/physiopathology , Obesity*/blood , Cardiovascular Diseases*/diagnosis , Cardiovascular Diseases*/epidemiology , Adiposity* , Unsupervised Machine Learning* , Metabolomics*, China/epidemiology ; Biomarkers/blood ; Humans ; Male ; Middle Aged ; Female ; Aged ; Risk Assessment ; Age Factors ; Comorbidity ; Longitudinal Studies ; Cardiometabolic Risk Factors ; Cluster Analysis ; Predictive Value of Tests ; East Asian People

A physics-constrained unsupervised machine-learning method for collar wave suppression in acoustic logging while drilling

Autoři: Qiang Wang Hua Wang Yunjia Ji a další

Zdroj: GEOPHYSICS. 90:D125-D134

Unsupervised Machine Learning in the Evaluation of Brazilian Postgraduate Programs: Decision Support Via the Crowm Method

Autoři: Arthur Pinheiro de Araújo Costa Julio Cesar Duarte Ronaldo Ribeiro Goldschmidt a další

Zdroj: International Journal of Information Technology & Decision Making. :1-41

Revealing the hidden faults of the Oklahoma basement through unsupervised machine-learning methods and the integration of earthquake data

Autoři: Diana K. Salazar Florez Brett M. Carpenter Heather Bedle

Zdroj: Interpretation. 13:T833-T857

A comparative analysis of unsupervised machine-learning methods in PSG-related phenotyping.

Autoři: Ghorvei M Karhu T Hietakoste S a další

Zdroj: Journal of sleep research [J Sleep Res] 2025 Jun; Vol. 34 (3), pp. e14349. Date of Electronic Publication: 2024 Oct 24.

Způsob vydávání: Journal Article; Comparative Study; Research Support, Non-U.S. Gov't

Informace o časopise: Publisher: Published on behalf of the European Sleep Research Society by Blackwell Scientific Publications Country of Publication: England NLM ID: 9214441 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2869 (Electronic) Linking ISSN: 09621105 NLM ISO Abbreviation: J Sleep Res Subsets: MEDLINE

Výrazy ze slovníku MeSH: Sleep Apnea, Obstructive*/diagnosis , Sleep Apnea, Obstructive*/physiopathology , Polysomnography*/methods , Unsupervised Machine Learning*, Humans ; Cluster Analysis ; Phenotype ; Male ; Female ; Middle Aged ; Fuzzy Logic ; Adult

MS-TFNET: an Unsupervised Deep Learning Method for Multi-Frequency GPR Data Fusion in Tunnel Lining Inspection

Autoři: Huaiyuan Zhou Tess Luo Yiqing Ni

Zdroj: 2025 13th International Workshop on Advanced Ground Penetrating Radar (IWAGPR). :1-4

Enhancing Snow Detection through Deep Learning: Evaluating CNN Performance Against Machine Learning and Unsupervised Classification Methods

Autoři: Mustafa Hayri Kesikoglu

Zdroj: Water Resources Management. 39:6053-6071

Precision soil sampling strategy for the delineation of management zones in olive cultivation using unsupervised machine learning methods.

Autoři: Bougiouklis JN Barouchas PE Petropoulos P a další

Zdroj: Scientific reports [Sci Rep] 2025 Mar 10; Vol. 15 (1), pp. 8253. Date of Electronic Publication: 2025 Mar 10.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Výrazy ze slovníku MeSH: Olea*/growth & development , Soil*/chemistry , Agriculture*/methods , Unsupervised Machine Learning*, Principal Component Analysis ; Climate Change ; Greece ; Cluster Analysis

Advanced Condition Monitoring of Metal Oxide Varistors (MOVs) in DC Circuit Breakers Using Unsupervised Machine Learning Methods

Autoři: Soroush Naeiji Amirhussein Zia Hamid Jafarabadi Ashtiani a další

Zdroj: 2025 IEEE 34th International Symposium on Industrial Electronics (ISIE). :1-6

Unsupervised Deep Learning for Behavioral and Quality Anomaly Detection in 5G Networks: Early Methods and Challenges

Autoři: Maham Fatima Kayani Selma Boumerdassi

Zdroj: 2025 8th International Balkan Conference on Communications and Networking (Balkancom). :1-5

Evaluation of Unsupervised Deep Learning Methods for Detecting Malicious Activities in Mobile Browsing Data

Autoři: Okangondo Loshima Junior Serigne Modou Kara Samb Mohamed Kaba Keita a další

Zdroj: 2025 International Conference on Computing Technologies (ICOCT). :1-4

The relationship between clinical subtypes, prognosis, and treatment in ICU patients with acute cholangitis using unsupervised machine learning methods.

Autoři: Sheng Y Xu S Zhang S a další

Zdroj: BMC infectious diseases [BMC Infect Dis] 2025 Aug 04; Vol. 25 (1), pp. 979. Date of Electronic Publication: 2025 Aug 04.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE

Výrazy ze slovníku MeSH: Cholangitis*/therapy , Cholangitis*/mortality , Cholangitis*/diagnosis , Cholangitis*/classification , Intensive Care Units* , Unsupervised Machine Learning*, Humans ; Male ; Female ; Prognosis ; Retrospective Studies ; Middle Aged ; Aged ; Critical Illness ; Acute Disease

Improving Unsupervised Deep Learning Methods for Detection and Colorization of Grayscale Images Based on Contextual Content

Zdroj: International Journal of Intelligent Engineering and Systems. 18:439-455

A Human-Like Visual Perception System for Autonomous Vehicles Using a Neuron-Triggered Hybrid Unsupervised Deep Learning Method

Autoři: Yu, Bo Gao, Kun Cheng, Zeyang a další

Zdroj: IEEE Transactions on Intelligent Transportation Systems. 25(7):8171-8180

Témata: Deep learning, neuron-triggered method, Visual perception, Feature extraction, unsupervised deep learning, Roads, Human-like autonomous vehicle, visual perception system, Visualization, mixed traffic condition, Kernel, Data models

Přístupová URL adresa: https://research.chalmers.se/publication/541747

Research of unsupervised machine learning methods for data analy-sis and preparation and modern approaches to building machine learning models – automated machine learning systems

Autoři: I.A. Popova G.I. Afanasyev V.B. Timofeev a další

Zdroj: Neurocomputers. :47-55

Supervised and Unsupervised Methods of Machine Learning Used in Data Analytics

Autoři: Shabana Urooj

Zdroj: Data Analytics using Machine Learning Techniques on Cloud Platforms ISBN: 9781003396772

Unsupervised Deep Learning-based Source Synthesis Method for Fast Power Pattern Shaping

Autoři: Lu Zhuang Jun Ou Yang

Zdroj: Progress In Electromagnetics Research C. 154:77-83

Development of customer segmentation system using supervised and unsupervised machine learning algorithms

Autoři: Owoade, Ayoade Akeem

Zdroj: Science World Journal; Vol. 20 No. 2 (2025); 554-565

Témata: Customer, Segmentation, Clustering, Rule-based, Traditional Method, Machine learning

Popis souboru: application/pdf

Přístupová URL adresa: https://www.ajol.info/index.php/swj/article/view/303104