Výsledky vyhledávání - "data clustering"

Enhancing maintenance and energy efficiency in smart manufacturing processes through non-intrusive monitoring strategies

Autoři: Bermeo Ayerbe, Miguel Ángel

Thesis Advisors: Ocampo-Martínez, Carlos, Díaz Rozo, Javier, Institut de Robòtica i Informàtica Industrial

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Energy efficiency, Manufacturing machines, Electromechanical system, Nonintrusive load monitoring, Data-driven modeling, Motor Current Signature Analysis, Model predictive control, Optimization-based control, Condition monitoring, Edge detection, Event detection, Unsupervised learning, Functional data clustering, Prognostics, Remaining useful life, Time-to-Failure, Non-parametric distribution, Eficiencia energética, Máquinas de fabricación, Sistema electromecánico, Monitoreo de carga no intrusivo, Modelado basado en datos, Análisis de firma de corriente del motor, Control predictivo por modelo, Control basado en optimización, Monitoreo del estado de la maquina, Detección de bordes, Detección de eventos, Aprendizaje no supervisado, Agrupación de datos funcionales, Pronósticos, Vida útil remanente, Distribución no paramétrica, Eficiència energètica, Màquines de fabricació, Sistema electromecànic, Monitorització de càrrega no intrusiu, Modelatge basat en dades, Anàlisi de signatura de corrent delmotor, Control predictiu per model, Control basat en optimització, Monitorització de l’estat de la màquina, Detecció de vores, Detecció d’esdeveniments, Aprenentatge no supervisat, Agrupació de dades funcionals, Pronòstics, Vida útil romanent, Distribució no paramètrica, Àrees temàtiques de la UPC::Energies, Àrees temàtiques de la UPC::Enginyeria mecànica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/691966
https://dx.doi.org/10.5821/dissertation-2117-413342

Exploring Artificial Personality Grouping Through Decision Making in Feature Spaces

Autoři: Zhou, Yuan Khatibi, Siamak

Zdroj: AI. 6(8)

Témata: Data Clustering, Decision-making Process, Feature Space, Personality Ai Grouping, Personality Generation

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-28593
https://doi.org/10.3390/ai6080184

A novel clustering method with maximum number of ordered centroids and stable clusters for optimal ranking in a univariate setting

Autoři: Mariaelena Bottazzi Schenone Elena Grimaccia Maurizio Vichi

Zdroj: Statistical Methods & Applications. 34:607-637

Témata: one-dimensional data clustering, ranking in equivalence classes, optimal number of clusters, bootstrap, k-means clustering

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/11573/1744954
https://doi.org/10.1007/s10260-025-00803-2

A Characteristics-Based Least Common Multiple Algorithm to Optimize Magnetic-Field-Based Indoor Localization

Autoři: Rafique, Hamaad Patti, Davide Palesi, Maurizio a další

Zdroj: IEEE Internet of Things Journal. 12:10463-10478

Témata: Clustering algorithms, novel clustering technique, Location awareness, Internet of Things, Shape, Time series analysis, Fingerprint recognition, Automatic clustering, indoor localization, machine learning, data clustering, Wireless fidelity, least common multiple (LCM), Clustering methods, Real-time systems, Accuracy

TRUNC: A Transfer Learning Unsupervised Network for Data Clustering

Autoři: Rita Xavier John Peller Leandro N. de Castro

Zdroj: Lecture Notes in Networks and Systems ISBN: 9783031820724
IEEE Access, Vol 13, Pp 46282-46298 (2025)

Témata: bio-inspired computing, data clustering, Electrical engineering. Electronics. Nuclear engineering, transfer learning, self-organizing neural network, Unsupervised learning, TK1-9971

Přístupová URL adresa: https://doaj.org/article/24d49cd2f2974d0286c0321d01ffbf91

LS-BMO-HDBSCAN as a hybrid memetic bacterial intelligence framework for efficient data clustering

Autoři: Ahmed Kateb Jumaah Al-Nussairi Abdulsalam Abdulsattar Abdulazez Ahmed Adnan Hadi a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-22 (2025)

Témata: Data clustering, Optimization technique, Dynamic mutation, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/67d2708a2cc94977926e55553e2269d8

Optimizing K-Means Algorithm Using the Purity Method for Clustering Oil Palm Producing Regions

Autoři: Novia Hasdyna Rozzi Kesuma Dinata Balqis Yafis

Zdroj: JISKA (Jurnal Informatika Sunan Kalijaga), Vol 10, Iss 1, Pp 1-15 (2025)

Témata: oil palm production, purity method, data clustering, k-means algorithm, Information technology, davies-bouldin index (dbi), T58.5-58.64

Přístupová URL adresa: https://doaj.org/article/b99f61f541b343e587ef54b8b516b64d

Artificial Neural Network for the Clustering of Vibration Signals for Condition Monitoring of Rotating Machines

Autoři: Eyere Emagbetere Samson Uwatse Omonzokpia Goerge Okoidigun

Zdroj: ABUAD Journal of Engineering Research and Development, Vol 8, Iss 1 (2025)

Témata: Predictive Maintenance, Data Mining, Unsupervised Learning, TA1-2040, ANN, Engineering (General). Civil engineering (General), Data Clustering

Přístupová URL adresa: https://doaj.org/article/1c2050f29763413081fcf5e0ecbb7d76

Image Description Compression in Classification Structural Methods

Autoři: Volodymyr Gorokhovatskyi Iryna Tvoroshenko Olena Yakovleva a další

Zdroj: IEEE Access, Vol 13, Pp 43631-43641 (2025)
IEEE Access

Témata: Classification speed, data clustering, Electrical engineering. Electronics. Nuclear engineering, granularity, description compression, image classification, keypoint descriptors, TK1-9971

Přístupová URL adresa: https://doaj.org/article/9230f62905244a72a26fa30a82575ffb

Machine Learning Analysis of Arterial Oscillograms for Depression Level Diagnosis in Cardiovascular Health

Autoři: Vladislav Kaverinsky Dmytro Vakulenko Liudmyla Vakulenko a další

Zdroj: Complex Systems Informatics and Modeling Quarterly, Vol 0, Iss 40, Pp 94-110 (2024)
Complex Systems Informatics and Modeling Quarterly; No 40 (2024): Complex Systems Informatics and Modeling Quarterly; 94-110

Témata: machine learning, Machine Learning, Transdisciplinary Research, Data Clustering, UMAP, Arterial Oscillogram, ULF, Mental State Diagnostic, data clustering, ulf, transdisciplinary research, umap, Information technology, mental state diagnostic, T58.5-58.64, arterial oscillogram

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/6d5ed4e7dc6f47508e07b55eb1a4be48
https://csimq-journals.rtu.lv/article/view/csimq.2024-40.04

A New AI Approach by Acquisition of Characteristics in Human Decision-Making Process

Autoři: Zhou, Yuan Khatibi, Siamak

Zdroj: Applied Sciences. 14(13)

Témata: artificial intelligence, data clustering, decision strategy, decision-making process, knowledge representation

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26779
https://doi.org/10.3390/app14135469

Mathematical Model of Clustering of Informational Messages with Indicators of Activity for the Information Content by Tone and Areas of Society Activity

Zdroj: Information, Computing and Intelligent systems; No. 6 (2025): Information, Computing and Intelligent systems; 230-241
Information, Computing and Intelligent systems; № 6 (2025): Information, Computing and Intelligent systems; 230-241

Témata: великі дані, кластеризація, природна мова, Big Data, clustering, Natural Language Processing

Popis souboru: application/pdf

Přístupová URL adresa: https://itvisnyk.kpi.ua/article/view/339127

A Column Generation Algorithm with Dynamic Constraint Aggregation for Minimum Sum-of-Squares Clustering

Autoři: Antonio M. Sudoso Daniel Aloise

Zdroj: INFORMS Journal on Computing.

Témata: Machine Learning, FOS: Computer and information sciences, data clustering, column generation, dynamic constraint aggregation, global optimization, Artificial Intelligence, Optimization and Control (math.OC), Advanced Clustering Algorithms Research, Optimization and Control, Signal Processing, FOS: Mathematics, Metaheuristic Optimization Algorithms Research, Data Management and Algorithms, Machine Learning (cs.LG)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2410.06187

SCALABILITY AND EFFICIENCY OF CLUSTERING ALGORITHMS FOR LARGE-SCALE IoT DATA: A COMPARATIVE ANALYSIS

Autoři: Journal of Theoretical and Applied Information Technology

Témata: Clustering Algorithms, IoT Data Clustering, Comparative Analysis, Sensor Data Analysis, Bibliometric Analysis, Machine Learning in IoT, Multi-Dimensional Data Clustering

SCALABILITY AND EFFICIENCY OF CLUSTERING ALGORITHMS FOR LARGE-SCALE IoT DATA: A COMPARATIVE ANALYSIS

Autoři: Das, Prabhat Kovuri, Karthik Saha, Sajal

Témata: Clustering Algorithms, Comparative Analysis, Sensor Data Analysis, Bibliometric Analysis, Multi-Dimensional Data Clustering, IoT Data Clustering, Machine Learning in IoT

An MBO method for modularity optimisation based on total variation and signless total variation

Autoři: Zijun Li Yves van Gennip Volker John

Zdroj: European Journal of Applied Mathematics, Pp 1-83

Témata: 0301 basic medicine, 0303 health sciences, 65K10, MBO scheme, 91C20, 91D30, 94C15, 03 medical and health sciences, Ginzburg–Landau functional, data clustering, community detection, QA1-939, modularity, 62H30, Mathematics

Přístupová URL adresa: https://doaj.org/article/3e64158575984b6f89d2098ff1752c80

An advanced visualization of self-organizing maps by determining data clusters

Autoři: Pavel Stefanovič Olga Kurasova

Zdroj: Nonlinear Analysis, Vol 30 (2025)

Témata: self-organizing maps, u-matrix, similarity distances, visualization, data clustering, number of clusters, Analysis, QA299.6-433

Popis souboru: electronic resource

Relation: https://www.journals.vu.lt/nonlinear-analysis/article/view/43803; https://doaj.org/toc/1392-5113; https://doaj.org/toc/2335-8963

Přístupová URL adresa: https://doaj.org/article/1ec3b246eb564831884763155f62128f

Sociogeographical Machine Learning: Using Machine Learning to Understand the Social Mechanisms of Place

Autoři: Lund, Rolf Lyneborg Borch, Christian, book editor Pardo-Guerra, Juan Pablo, book editor

Přispěvatelé: Lund, Rolf Lyneborg Borch, Christian, book editor Pardo-Guerra, Juan Pablo, book editor

Zdroj: The Oxford Handbook of the Sociology of Machine Learning.

Dostupnost: https://doi.org/10.1093/oxfordhb/9780197653609.013.18

Unite and conquer approach for data clustering based on particle swarm optimization and moth flame optimization

Autoři: E. Mosavi S.A. Shahzadeh Fazeli E. Abbasi a další

Zdroj: Iranian Journal of Numerical Analysis and Optimization, Vol 15, Iss Issue 2, Pp 475-507 (2025)

Témata: data clustering, k-means clustering, metaheuristic optimization, particle swarm optimization, moth flame optimization, Applied mathematics. Quantitative methods, T57-57.97

Popis souboru: electronic resource

Relation: https://ijnao.um.ac.ir/article_46247_3b9bd9058b1f2bea07ae60a1efe09b88.pdf; https://doaj.org/toc/2423-6977; https://doaj.org/toc/2423-6969

Přístupová URL adresa: https://doaj.org/article/f690faa7869842bfb9b431118cdc253d

Enhanced aquila optimizer for global optimization and data clustering

Autoři: Laith Abualigah Saleh Ali Alomari Mohammad H. Almomani a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-36 (2025)

Témata: Aquila optimizer, Meta-heuristics optimization algorithms, Opposition-based learning, Data clustering problems, Optimization problems, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/be474ded61804a65bb5a2b67dabae2f1