Výsledky vyhľadávania - "Machine Learning Regression"

Reduced order models and machine learning techniques for digital twin applications

Autori: Ares de Parga Regalado, Sebastian

Thesis Advisors: Rossi, Riccardo, Hernández Ortega, Joaquín Alberto, Escola Tècnica Superior d'Enginyeria de Camins, Canals i Ports de Barcelona

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Projection-Based Model Order Reduction (PROM), Hyper-reduction, Machine Learning Regression, High-Performance Computing (HPC), Digital Twins, Àrees temàtiques de la UPC::Enginyeria civil, Àrees temàtiques de la UPC::Informàtica, Àrees temàtiques de la UPC::Enginyeria mecànica, 624 - Enginyeria civil i de la construcció en general, 004 - Informàtica, 531/534 - Mecànica. Vibracions. Acústica

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/695824
https://dx.doi.org/10.5821/dissertation-2117-446579

A comparative study of statistical and intelligent classification models for predicting airlines passenger management satisfaction

Autori: Mohammed Alharithi Ehab M. Almetwally Omar Alotaibi a ďalší

Zdroj: Alexandria Engineering Journal, Vol 119, Iss, Pp 99-110 (2025)

Predmety: Machine learning regression, K-Nearest Neighbor (KNN), Logistic regression, TA1-2040, Airline passenger satisfaction, Engineering (General). Civil engineering (General), Predictive modeling, Neural networks

Prístupová URL adresa: https://doaj.org/article/10b30c7091de485badd487c66beae8ef

Comparison of Machine Learning Performance for the Prediction of Melting Efficiency and Bead Geometry in wire Arc Additive Manufacturing Process

Autori: A. Kumar D. Das N.D. Raj a ďalší

Zdroj: Archives of Metallurgy and Materials, Vol vol. 70, Iss No 1, Pp 29-38 (2025)

Predmety: melting efficiency, Mining engineering. Metallurgy, hyperparameter tuning, machine learning regression models, waam, TN1-997, TA401-492, bead geometry, Materials of engineering and construction. Mechanics of materials

Prístupová URL adresa: https://doaj.org/article/533db8e37dcd448db480761552de53bb
https://doi.org/10.24425/amm.2025.152503

Comparison of Sugarcane Drought Stress Based on Climatology Data using Machine Learning Regression Model in East Java

Autori: Aries Suharso Yeni Herdiyeni Suria Darma Tarigan a ďalší

Zdroj: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 9, Iss 2, Pp 225-238 (2025)
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 9 No 2 (2025): April 2025; 225-238

Predmety: TA168, crop water stress index, machine learning regression, sugarcane, climatological data, Information technology, T58.5-58.64, Systems engineering

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/0f8f6080e54c44c9b1845f12e844e27d
https://jurnal.iaii.or.id/index.php/RESTI/article/view/6159

MODELING HOUSE SELLING PRICES IN JAKARTA AND SOUTH TANGERANG USING MACHINE LEARNING PREDICTION ANALYSIS

Autori: Sa'idah Zahrotul Jannah Elly Pusporani Nicoletta Almira Dyah Setiawan a ďalší

Zdroj: Barekeng, Vol 19, Iss 1, Pp 107-118 (2025)

Predmety: machine learning regression, jabodetabek, affordable housing, Probabilities. Mathematical statistics, QA273-280

Prístupová URL adresa: https://doaj.org/article/9d02da59ed8f47a494a6a7aa2adb1f57

Predicting specific wear rate of laser powder bed fusion AlSi10Mg parts at elevated temperatures using machine learning regression algorithm: Unveiling of microstructural morphology analysis

Autori: Vijaykumar S. Jatti R. Murali Krishnan A. Saiyathibrahim a ďalší

Zdroj: Journal of Materials Research and Technology, Vol 33, Iss, Pp 3684-3695 (2024)

Predmety: Gaussian Process Regression algorithm, Specific Wear Rate, Mining engineering. Metallurgy, Machine Learning Regression Algorithm, Laser powder bed fusion, Specific wear rate, TN1-997, Laser Powder Bed Fusion, Machine learning regression algorithm, Prediction, MAE, RMSE

Prístupová URL adresa: https://doaj.org/article/3a2c2dfb50b6409594a00b9327819c0b

Machine learning-assisted prediction of organic solar cell efficiency from device reflectance spectra

Autori: Fuhao Gao Jinxin Zhou Jingfeng Liu a ďalší

Zdroj: Results in Optics, Vol 21, Iss , Pp 100935- (2025)

Predmety: Organic solar cells, Non-contact PCE prediction, FDTD simulation, Machine learning regression, Attention-MLPR network, Optics. Light, QC350-467

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666950125001634; https://doaj.org/toc/2666-9501

Prístupová URL adresa: https://doaj.org/article/f66fe13510e8479896a18a144dc77cff

Exploring the significance of medical humanities in shaping internship performance: insights from curriculum categories

Autori: Chao Ting Chen Anna Y.Q. Huang Po-Hsun Hou a ďalší

Zdroj: Medical Education Online, Vol 30, Iss 1 (2025)

Predmety: Medical humanities, medical education, internship performance, machine learning regression, multiple logistic regression, Special aspects of education, LC8-6691, Medicine (General), R5-920

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1087-2981

Prístupová URL adresa: https://doaj.org/article/aba472ffc70545df9277c0cc6c0a0b75

A novel framework for automated water level estimation using CCTV imagery in Yongseong Agricultural Reservoir, South Korea

Autori: Soon Ho Kwon Suhyun Lim Seungyub Lee

Zdroj: Journal of Hydrology: Regional Studies, Vol 61, Iss , Pp 102631- (2025)

Predmety: Agricultural reservoirs, Water level estimation, CCTV imagery, Region of interest, Machine-learning regression, Physical geography, GB3-5030, Geology, QE1-996.5

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214581825004562; https://doaj.org/toc/2214-5818

Prístupová URL adresa: https://doaj.org/article/067e390aae254c36a8592759a9d0783b

Satellite-Based Estimation of Soil Moisture Content in Croplands: A Case Study in Golestan Province, North of Iran

Autori: Bandak, Soraya Movahedi Naeini, Seyed Ali Reza Komaki, Chooghi Bairam a ďalší

Zdroj: Remote Sensing. 15(8)

Predmety: optical remote sensing, machine learning regression, cropland, soil moisture content (SMC)

Popis súboru: electronic

Prístupová URL adresa: https://research.chalmers.se/publication/535918
https://research.chalmers.se/publication/535918/file/535918_Fulltext.pdf

A Machine Learning Algorithm for the Analysis of Spatially Distributed Data

Autori: Cartone Alfredo Piras Gianfranco Postiglione Paolo

Zdroj: Italian Statistical Society Series on Advances in Statistics ISBN: 9783031643491

Predmety: Cross-sectional Dependence · Machine Learning · Regression Tree

Prístupová URL adresa: https://link.springer.com/book/10.1007/978-3-031-64350-7
https://hdl.handle.net/11564/853633

Reconstructed hyperspectral imaging for in-situ nutrient prediction in pine needles

Autori: Yuanhang Li Jun Du Chuangjie Zeng a ďalší

Zdroj: Frontiers in Plant Science, Vol 16 (2025)

Predmety: hyperspectral image reconstruction, deep learning models, machine learning regression, in situ prediction of pine needle nutrients, precision forestry, Plant culture, SB1-1110

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2025.1630758/full; https://doaj.org/toc/1664-462X

Prístupová URL adresa: https://doaj.org/article/228ebdc313914fbeaa33242c25d5c7d8

Prediction of sewage pipeline construction duration by introducing machine learning and deep learning approaches

Autori: Sang-Jun Park Norhane Nour Kang Young Lee a ďalší

Zdroj: Journal of Civil Engineering and Management, Vol 31, Iss 7 (2025)

Predmety: construction management, sewage pipeline construction, statistical regression, machine learning regression, deep learning regression, Building construction, TH1-9745

Popis súboru: electronic resource

Relation: https://journals.vilniustech.lt/index.php/JCEM/article/view/23472; https://doaj.org/toc/1392-3730; https://doaj.org/toc/1822-3605

Prístupová URL adresa: https://doaj.org/article/8f767f3861594819893866aff97c49fa

Soil Moisture Content Estimation From Hyperspectral Remote Sensing Data

Autori: Ketaki Vinay Jambhali Bikram Koirala Zakaria Bnoulkacem a ďalší

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 22231-22240 (2025)

Predmety: Hyperspectral, machine learning regression, PRISMA, remote sensing, soil moisture content (SMC), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11145062/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

Prístupová URL adresa: https://doaj.org/article/1d4e6428296b4e24a36f4712f5e1deaa

Assessment of the Effectiveness of Spectral Indices Derived from EnMAP Hyperspectral Imageries Using Machine Learning and Deep Learning Models for Winter Wheat Yield Prediction

Autori: László Mucsi Dorottya Litkey-Kovács Krisztián Bonus a ďalší

Zdroj: Remote Sensing, Vol 17, Iss 20, p 3426 (2025)

Predmety: spectral vegetation indices, machine learning regression, crop yield, multi-temporal analysis, spaceborne hyperspectral, Science

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2072-4292/17/20/3426; https://doaj.org/toc/2072-4292

Prístupová URL adresa: https://doaj.org/article/c145d2f13d24422592673965db18de2a

Machine Learning Regressor for Impedance Parameter Estimation of QCM Sensors for Liquid Media Characterization

Autori: Cappelli I. Fort A. Mugnaini M. a ďalší

Zdroj: 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). :371-376

Predmety: Artificial Neural Networks, Impedance Measurements, In-liquid Measurements, Machine Learning Regression, Quartz Crystal Microbalance (QCM) sensors

Popis súboru: application/pdf

Enhancing Water Sustainability with AI methods: Analysis and Prediction of Seasonal Water Quality of Nepal Using Machine Learning Approach: Prediction of Seasonal Water Quality of Nepal Using Machine Learning Approach

Autori: Paneru, Biplov Paneru, Bishwash Sapkota, Sanjog Chhetri

Zdroj: International Journal of Informatics, Information System and Computer Engineering (INJIISCOM); Vol. 6 No. 1 (2025): INJIISCOM: VOLUME 6, ISSUE 1, JUNE 2025; 166-185

Predmety: Machine Learning, regression, classification algorithm, catboost, MLP, MLP-GRU, LSTM-GRU

Popis súboru: application/pdf

Prístupová URL adresa: https://ojs.unikom.ac.id/index.php/injiiscom/article/view/13396

House Price Prediction Survey Using Machine Learning

Autori: Akshatha Prasad Bindu MR Pruthvi CP a ďalší

Predmety: House price prediction, machine learning, regression analysis, data analysis, feature engineering

A stratified review of COVID-19 infection forecasting and an efficient methodology using multiple domain-based transfer learning

Autori: Kumar, Sandeep Garg, Sonakshi Muhuri, Pranab K.

Zdroj: Expert systems with applications. 262

Predmety: COVID-19, gross domestic product (GDP), infection forecasting, machine learning regression models, multi-source domain dataset, multi-source transfer learning, province-specific data.

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-229231

Photovoltaic power generation forecasting with Bayesian optimization and stacked ensemble learning

Autori: Mohamed A. Atiea Abdelrhman A. Abdelghaffar Houssem Ben Aribia a ďalší

Zdroj: Results in Engineering, Vol 26, Iss , Pp 104950- (2025)

Predmety: Bayesian optimization, Stacked ensemble learning, Machine learning regression models, Meteorological Data, Photovoltaic Power Prediction, Technology

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025010266; https://doaj.org/toc/2590-1230

Prístupová URL adresa: https://doaj.org/article/4d5d32169624472ebdc13cc8d77b4520