Výsledky vyhledávání - "Machine Learning Methods"

La creativitat en el futbol com a fenomen complex. Eines d’avaluació i propostes per desenvolupar-la

Autoři: Canton, Albert

Thesis Advisors: Torrents Martín, Carlota, Hristovski, Robert, Institut Nacional d'Educació Física de Catalunya (Lleida)

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Complexitat, Jocs reduïts, Dynamic overlap, Anàlisi de components principals, Coeficient de congruència de Tucker, Esports d’equip, Unsupervised Machine Learning Methods, Complejidad, Juegos reducidos, Análisis de componentes principales, Coeficiente de congruencia de Tucker, Deportes de equipo, Complexity, Small-sided games, Principal components analysis, Tucker's congruence coefficient, Team sports, Educació Física i Esportiva

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/687552

Rethinking artificial intelligence in psychiatry and mental healthcare: distinct needs, converging goals

Autoři: Crocamo, Cristina

Zdroj: BJPsych Advances. :1-4

Témata: Prognostic/prediction modelling, precision medicine, machine learning methods, longitudinal data, computational psychiatry

Popis souboru: application/pdf

Ability to Borrow Modeling Techniques for Small and Medium-Sized Enterprises

Autoři: Malakauskas, Aidas Lakstutiene, Ausrine Sineviciene, Lina a další

Zdroj: Engineering Economics. 36:516-528

Témata: the Baltic states, ability to borrow, machine learning methods, SMEs, gradient boosting

Popis souboru: application/pdf

Technical-economic evaluation of a 94.5 MW wind power plant at different elevation heights. A case study in Peru's countryside

Autoři: Priscila Scarlet Portocarrero Mendoza Villicaña Ortiz, Eunice

Přispěvatelé: Priscila Scarlet Portocarrero Mendoza Villicaña Ortiz, Eunice

Zdroj: Journal of Engineering Research. 13:1089-1103

Témata: Renewable energy, Levelized cost of energy, FOS: Political science, Aerospace Engineering, FOS: Mechanical engineering, Structural engineering, FOS: Law, Wind power in Peru, 7. Clean energy, Environmental science, Elevation (ballistics), Engineering, Meteorology, Artificial Intelligence, 11. Sustainability, Wind farms, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning Methods for Solar Radiation Forecasting, Electrical and Electronic Engineering, Rural area, Power station, Political science, Wind Power Integration in Power Systems, Geography, 15. Life on land, Economic feasibility, 13. Climate action, Electrical engineering, Physical Sciences, Computer Science, Wind Energy Technology and Aerodynamics, Wind power, Law

Popis souboru: application/pdf

Accurate prediction of density, viscosity, and speed of sound in aqueous aliphatic biogenic polyamine solutions using data-driven modeling

Autoři: Suleiman Ibrahim Mohammad Hamza Abu Owida Asokan Vasudevan a další

Zdroj: Scientific Reports, Vol 16, Iss 1, Pp 1-28 (2026)

Témata: Aliphatic biogenic polyamines, Property prediction, Machine learning methods, Hyperparameter optimization, Aqueous solutions, Sensitivity analysis, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/0f2c207142594411884901d838f4d735

CArDIS: A Swedish Historical Handwritten Character and Word Dataset

Autoři: Yavariabdi, Amir Kusetogullari, Hüseyin Celik, Turgay a další

Zdroj: IEEE Access. 10:55338-55349

Témata: Character recognition, Optical character recognition software, Feature extraction, Hidden Markov models, Handwriting recognition, Machine learning, Image recognition, Character and word recognition, machine learning methods, optical character recognition (OCR), old handwritten style, Swedish handwritten character dataset, Swedish handwritten word dataset

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-23171
https://doi.org/10.1109/ACCESS.2022.3175197

Artificial neural network and adaptive neurofuzzy inference system for improved production of biogas and biofertilizer from agricultural residues

Autoři: Akinbomi, Julius G. Akintola, Joseph T. Moronkola, Akeem A. a další

Zdroj: Sustainable Technologies for Value Addition to Biomass Waste. :199-214

Témata: Agricultural residues, biofertilizer, biogas, improved production, machine learning, Agricultural machinery, Agricultural wastes, Agriculture, Fuzzy inference, Learning systems, Machine learning, Neural networks, Quality control, Sustainable development, Adaptive neurofuzzy inference system, Anaerobics, Biofertilizers, Energy quality, Improved production, Machine learning methods, Machine-learning, Neural-networks, Response-surface methodology, Sustainable accessibility, Resource Recovery, Resursåtervinning

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-35151

Identification of fungal diseases in strawberry by analysis of hyperspectral images using machine learning methods

Autoři: A. F. Cheshkova

Zdroj: Vavilovskii Zhurnal Genet Selektsii
Вавиловский журнал генетики и селекции, Vol 29, Iss 2, Pp 310-319 (2025)

Témata: hyperspectral imaging, fungal diseases of strawberries, machine learning methods, Genetics, Original Article, QH426-470, dimensionality reduction

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40264803
https://doaj.org/article/19a0a0327c8f4ddb9a2d419d562cfd58

Econometric advances in causal inference: The machine learning revolution

Autoři: Mallik, Shuvo Kumar Uddin, Imran Trisha, Sadia Maliha a další

Zdroj: GSC Advanced Research and Reviews. 22:229-244

Témata: Empirical work, Machine Learning Methods, Applied economics, Econometric Literature, Value

Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI

Autoři: Pirinen, Aleksis Abid, Nosheen Agues Paszkowsky, Nuria a další

Zdroj: Remote Sensing. 16(4)

Témata: Mapping, Optical properties, Optical remote sensing, Cloud detection, Cloud masks, Cloud optical thickness, Dataset, Earth observations, Machine learning methods, Machine-learning, Multispectral imagery, Synthetic datasets, Thickness estimation, Machine learning

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-72841
https://doi.org/10.3390/rs16040694

Deep learning prediction models for short-term solar photovoltaic power generation forecasting

Autoři: Praveen Kumar Singh Amit Saraswat Yogesh Gupta

Zdroj: Next Energy, Vol 11, Iss , Pp 100531- (2026)

Témata: Solar photovoltaic power generation, Renewable energy sources, Short-term forecasting, Deep-learning methods, Machine-learning methods, Support vector regression, Energy industries. Energy policy. Fuel trade, HD9502-9502.5, TJ807-830

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2949821X26000219; https://doaj.org/toc/2949-821X

Přístupová URL adresa: https://doaj.org/article/0f0636505fdf44e9b68a775e36c2f3f6

THE EMPEROR, HITCHCOCK AND PATRIARCHY: AI-ASSISTED VS. HUMAN GENERATED KEY WORDS EXTRACTED FROM UNPROCESSED ETHNOLOGICAL MATERIAL

Autoři: Dragan Jakimovski Ilina Jakimovska

Zdroj: EtnoAntropoZum, Vol 24, Iss 24 (2026)

Témata: machine learning methods, ethnology, unprocessed text, keywords extraction, Ethnology. Social and cultural anthropology, GN301-674

Popis souboru: electronic resource

Relation: https://journals.ukim.mk/index.php/eaz/article/view/4434; https://doaj.org/toc/1409-939X; https://doaj.org/toc/1857-968X

Přístupová URL adresa: https://doaj.org/article/d42d0ae57bbc49b790cd1b921f6bea6f

Machine learning prediction of compressional slowness in fractured carbonates: balancing data volume and incremental log features

Autoři: Hamed Aghaei Ghazal Piroozi Salah Mahdi Ressan Al-Maliki a další

Zdroj: Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Vol 11, Iss 1, Pp 1-34 (2025)

Témata: Compressional slowness (DTC), Machine learning methods, Fractured carbonate formation, Feature data volume and input feature sensitivity, Reservoir characterization, Geophysics. Cosmic physics, QC801-809

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2363-8419; https://doaj.org/toc/2363-8427

Přístupová URL adresa: https://doaj.org/article/a872301a27f5431ea539a99f7f6e3f6b

Comparative evaluation of deep learning and traditional models for predicting traffic accident severity in Saudi Arabia

Autoři: Fayez Alanazi Ibrahim Khalil Umar Ahmed. M. Yosri a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Témata: Machine learning methods, Accident severity, Fatality, Saudi Arabia, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/29e1a751d97c48e0998fc27287a55a2a

Axial strength prediction of FRP reinforced concrete columns under concentric and eccentric loading using machine learning models

Autoři: Mohammad Haji Mohammad Sadegh Marefat Ali Kheyroddin

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-27 (2025)

Témata: RC Columns, FRP-reinforcement, Eccentricity, Axial strength, Machine learning methods, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/e6290af4b8004ee7bbd8a6ec9224d933

Robust-tuning machine learning algorithms for precise prediction of permeability impairment due to CaCO3 deposition

Autoři: Mohammad Javad Khodabakhshi Masoud Bijani Masoud Hasani

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-24 (2025)

Témata: Scale, Decreased permeability, Machine learning methods, CaCO3 deposition, Hyperparameter tuning, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/df7a45cae78941bf9c05ca945fb3c30f

Real-time prediction of HFNC treatment failure in acute hypoxemic respiratory failure using machine learning

Autoři: Xiaojie Li Chunliang Jiang Qingyan Xie a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Témata: High-flow nasal cannula, Acute hypoxemic respiratory failure, Machine learning methods, Real-time dynamic alert, ROX index, mROX index, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/464a8fe6c3344776ab9dbf3d4346f78a

Comparative analysis of the Russian regions using machine learning methods for a set of indicators of electronic services

Autoři: L. A. Borisova

Zdroj: Цифровая социология, Vol 7, Iss 4, Pp 33-43 (2025)

Témata: statistics, electronic services, correlation, dendrogram, machine learning methods, regression, Sociology (General), digitalisation, classification of regions, clustering, HM401-1281

Přístupová URL adresa: https://doaj.org/article/56ca90665e804b9f8a0c2fe50a5074be

Statement of the Problem of Determining the Technical Appearance and Design Characteristics of Multi-Apartment Residential Buildings Based on the Expert Systems Method

Autoři: Alexander A. Merkulov Yury N. Razoumny Olga A. Saltykova a další

Zdroj: RUDN Journal of Engineering Research, Vol 25, Iss 3, Pp 319-329 (2024)

Témata: engineering concept, machine learning methods, expert systems, structural optimization, fuzzy logic, TA1-2040, technical appearance, Engineering (General). Civil engineering (General), decision support systems

Přístupová URL adresa: https://doaj.org/article/381e97ea1bb348248e4efde2c29200d8

Modeling, Simulation, and Control of a Rotary Inverted Pendulum: A Reinforcement Learning-Based Control Approach

Autoři: Ruben Hernandez Ramon Garcia-Hernandez Francisco Jurado

Zdroj: Modelling, Vol 5, Iss 4, Pp 1824-1852 (2024)

Témata: rotary inverted pendulum, 0209 industrial biotechnology, Engineering design, TA174, machine learning methods, 0202 electrical engineering, electronic engineering, information engineering, modeling, 02 engineering and technology, underactuated mechanical systems, simulation, simulation visualization

Přístupová URL adresa: https://doaj.org/article/4dc779c51f734b02b154d17072c46481