Výsledky vyhledávání - "Regression learner"

Dynamic response of armour steel hollow cylindrical shells to blast loading: A comparative study

Autoři: N. Mehreganian Y. Safa G.K. Boiger a další

Zdroj: Results in Engineering, Vol 28, Iss , Pp 107258- (2025)

Témata: Localised pulse pressures, Dynamic plastic collapse, Fluid-structure interaction (FSI), Hollow cylindrical shell, ARMOX steel, Regression learner (RL), Technology

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025033134; https://doaj.org/toc/2590-1230

Přístupová URL adresa: https://doaj.org/article/216f64cc938a418ca2b355c3af29c274

Efficient prediction of compressive strength in geotechnical engineering using artificial neural networks

Autoři: Ali Ulvi Uzer

Zdroj: Volume: 8, Issue: 3457-468
Turkish Journal of Engineering

Témata: Artificial intelligence, Regression learner, UCS, ANN, 0211 other engineering and technologies, 02 engineering and technology, Civil Geotechnical Engineering, İnşaat Geoteknik Mühendisliği

Popis souboru: application/pdf

Přístupová URL adresa: https://avesis.kayseri.edu.tr/publication/details/098ec91b-b773-49e1-9c8b-3bd16d8534ed/oai
https://dergipark.org.tr/tr/pub/tuje/issue/86022/1415931

Enhancing rotor angle stability of reconfigured transmission networks

Autoři: Ahmed Amin Almoataz Y. Abdelaziz Mahmoud A. Attia a další

Zdroj: Ain Shams Engineering Journal, Vol 16, Iss 4, Pp 103329- (2025)

Témata: Rotor angle transient stability, MATLAB regression learner, PSS®E, Transient Stability Assessment, Tri layered Neural Network, Rotor Angle Transient Stability Restoration, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S209044792500070X; https://doaj.org/toc/2090-4479

Přístupová URL adresa: https://doaj.org/article/4c9da436193b4cf3bd84da479d3e39d8

Powering the future of electrical load forecasting using a regression learner in machine learning

Autoři: Sushama D. Wankhade orcid:0000-0002-5284- Babasaheb R. Patil

Témata: Artificial neural network, Electrical load forecasting, Machine learning, Regression learner, Root mean square error, Support vector machine, Wide neural network

Relation: https://zenodo.org/records/15487710; oai:zenodo.org:15487710

Dostupnost: https://doi.org/10.11591/ijape.v14.i2.pp264-274
https://zenodo.org/records/15487710

Soil temperature prediction based on ensemble tree bagger machine learning algorithm for agricultural decision making

Autoři: Alagesan, A Thukkaiyannan, P Satheeshkumar, N a další

Zdroj: Plant Science Today; Vol. 12 No. 2 (2025) ; 2348-1900 ; 10.14719/pst.2025.12.2

Témata: artificial intelligence, explainable ai, ensemble tree bagger, machine learning, regression learner, SHAP, Shapley, soil temperature

Popis souboru: application/pdf

Relation: http://horizonepublishing.com/journals/index.php/PST/article/view/7291/6611; http://horizonepublishing.com/journals/index.php/PST/article/view/7291/6612; http://horizonepublishing.com/journals/index.php/PST/article/view/7291

Dostupnost: http://horizonepublishing.com/journals/index.php/PST/article/view/7291

Enhancing Real Estate Valuation in Kazakhstan: Integrating Machine Learning and Adaptive Neuro-Fuzzy Inference System for Improved Precision

Autoři: Alibek Barlybayev Nurzhigit Ongalov Altynbek Sharipbay a další

Zdroj: Applied Sciences, Vol 14, Iss 20, p 9185 (2024)

Témata: real estate, real estate valuation criteria, regression learner, neural network, ANFIS, real estate value forecasting, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/20/9185; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/b59d5f6bf4e842d7a6eb74ee28636272

Machine learning for real estate valuation: Astana, Kazakhstan case

Autoři: Barlybayev, Alibek Sankibayev, Arman Niyazova, Rozamgul a další

Přispěvatelé: Barlybayev, Alibek Sankibayev, Arman Niyazova, Rozamgul a další

Zdroj: Indonesian Journal of Electrical Engineering and Computer Science; Vol 35, No 2: August 2024; 1110-1121 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v35.i2

Témata: Computer and Informatics, Machine learning, Neural network, Real estate valuation criteria, Real estate value forecasting, Regression learner

Popis souboru: application/pdf

Relation: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/36338/18498; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/36338

Dostupnost: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/36338
https://doi.org/10.11591/ijeecs.v35.i2.pp1110-1121

DEVELOPMENT OF A MODULE FOR EVALUATING THE ACTIVITY OF THE MAKHALLA CHAIRPERSONS BASED ON THE EXPERTS' ASSESSMENT WITH THE ALGORITHMS

Autoři: Ibragimov Muhiddin Fakhraddin Ugli, Matyakubov Islombek Ikrom Ugli

Témata: expert, model, evaluation, linear regression learner, polynomial regression learner, RProp MLP Learner, X-Partitioner, X-Aggregator, error, object

Supervised machine learning based fundamental period prediction of historical Ottoman minarets

Autoři: Tran, C. Tran, D. N. Pham, T. M. a další

Přispěvatelé: Tran, C. Tran, D. N. Pham, T. M. a další

Témata: Supervised machine learning (SML), Regression learner application, Historical Ottoman minarets, Fundamental period prediction, Experiment manager application

Relation: Lecture Notes in Civil Engineering; 9783031733130; https://hdl.handle.net/11452/51153; 438; 447; 613 LNCE

Dostupnost: https://hdl.handle.net/11452/51153
https://doi.org/10.1007/978-3-031-73314-7_33

Evaluation of Shear Stress in Soils Stabilized with Biofuel Co-Products via Regression Analysis Methods

Autoři: Ali Ulvi Uzer

Zdroj: Buildings, Vol 13, Iss 11, p 2844 (2023)

Témata: artificial intelligence, Regression Learner, direct shear test, ANN, Building construction, TH1-9745

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2075-5309/13/11/2844; https://doaj.org/toc/2075-5309

Přístupová URL adresa: https://doaj.org/article/7b0fe995832d4092a512e908857f3546

AI-driven battery ageing prediction with distributed renewable community and E-mobility energy sharing

Autoři: Zhou, Yuekuan

Zdroj: Renewable Energy. 225:120280

Témata: Renewable energy, Battery cycling ageing, Machine learning, Battery storage, Regression learner, Carbon-neutral coastal district community

Forecasting of the efficiency of monoclonal therapy in the treatment of CoViD-19 induced by the Omicron variant of SARS-CoV2

Autoři: Alessandro Nutini Juan Zhang Ayesha Sohail a další

Zdroj: Results in Physics, Vol 35, Iss , Pp 105300- (2022)

Témata: Omicron, Monolconal antibodies, Delayed dynamics, Immune response, COVID-19, Regression learner, Physics, QC1-999

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2211379722000894; https://doaj.org/toc/2211-3797

Přístupová URL adresa: https://doaj.org/article/37bdb8b774eb40a89f6b747bc6ec6968

Multidimensional Energy Performance Indicators and Data Analytics Scientific Framework to Enable Effective Energy Management in Hospitals

Autoři: Ahmed Nouman Bennati Stefano Anglani Norma a další

Přispěvatelé: Ahmed Nouman Bennati Stefano Anglani Norma a další

Témata: energy management, energy indicator, energy intensity, regression learner, hospital, buildings

Popis souboru: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001327699300044; ispartofbook:2024 IEEE IYCE; 2024 IEEE International Youth Conference on Energy; firstpage:1; lastpage:6; numberofpages:6; https://hdl.handle.net/11571/1514171; https://ieeexplore.ieee.org/document/10634953

Dostupnost: https://hdl.handle.net/11571/1514171
https://doi.org/10.1109/IYCE60333.2024.10634953
https://ieeexplore.ieee.org/document/10634953

Comparatıve Fault Locatıon Estımatıon By Usıng Image Processıng In Mıxed Transmıssıon Lınes ; Karma İletim Hatlarında Görüntü İşleme Kullanılarak Karşılaştırmalı Hata Konumu Tahmini

Autoři: Budak, Serkan Akbal, Bahadir Selçuk Üniversitesi a další

Přispěvatelé: Budak, Serkan Akbal, Bahadir Selçuk Üniversitesi a další

Témata: Distance protection relay, Mixed transmission lines, Short circuit faults, Matlab regression learner, Fault location estimation, Artificial neural network, Mesafe koruma rölesi, Karma iletim hatları, Kısa devre arızaları, Regresyon metotları, Arıza yeri tahmini, Yapay sinir ağları

Popis souboru: application/pdf

Relation: Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi; Makale - Ulusal - Editör Denetimli Dergi; Budak, S., Akbal, B. (2020), Comparatıve Fault Locatıon Estımatıon By Usıng Image Processıng In Mıxed Transmıssıon Lınes. Konya Mühendislik Bilimleri Dergisi. 8, 62-75.; https://hdl.handle.net/20.500.12395/41256; özel; 62; 75

Dostupnost: https://hdl.handle.net/20.500.12395/41256

Fault Location Estimation by Using Machine Learning Methods in Mixed Transmission Lines

Autoři: Akbal, Bahadır Budak, Serkan

Témata: Mixed Transmission Lines, Distance Protection Relay, Short Circuit Faults, Fault Location Estimation, Regression Learner Mesafe Koruma Rölesi, Karma İletim Hatları, Kısa Devre Arızaları, Arıza Yeri Tahimini, Regresyon Metotları

Relation: Avrupa Bilim ve Teknoloji Dergisi; Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı; https://search.trdizin.gov.tr/yayin/detay/1135905; https://doi.org/10.31590/ejosat.802888; https://hdl.handle.net/20.500.13091/3275; Ejosat Özel Sayı 2020 (ICCEES); 245; 250; 1135905; N/A

Dostupnost: https://hdl.handle.net/20.500.13091/3275
https://search.trdizin.gov.tr/yayin/detay/1135905
https://doi.org/10.31590/ejosat.802888

Comparatıve Fault Locatıon Estımatıon By Usıng Image Processıng In Mıxed Transmıssıon Lınes

Autoři: Budak, Serkan Akbal, Bahadır Selcuk University Institutional Repository

Přispěvatelé: Budak, Serkan Akbal, Bahadır Selcuk University Institutional Repository

Témata: Short circuit faults, Artificial neural network, Matlab regression learner, Mesafe koruma rölesi, Distance protection relay, Arıza yeri tahmini, Karma iletim hatları, Regresyon metotları, Yapay sinir ağları, Fault location estimation, Kısa devre arızaları, Mixed transmission lines

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/20.500.12395/41256

Empirical Model for the Estimation of Whole-plant Photosynthetic Rate of Cherry Tomato Grown in a Commercial Greenhouse

Autoři: Hiroshige NISHINA Kotaro TAKAYAMA Naomichi FUJIUCHI a další

Zdroj: Environmental Control in Biology. 2021, 59(3):117

Determining the Shear Capacity of Steel Beams with Corrugated Webs by Using Optimised Regression Learner Techniques

Autoři: Ahmed S. Elamary Ibrahim B. M. Taha

Zdroj: Materials (Basel)
Materials; Volume 14; Issue 9; Pages: 2364

Témata: 0211 other engineering and technologies, shear strength, corrugated web, regression learner techniques, steel beams, 02 engineering and technology, Article, 0201 civil engineering

Popis souboru: application/pdf

Přístupová URL adresa: https://www.mdpi.com/1996-1944/14/9/2364/pdf
https://pubmed.ncbi.nlm.nih.gov/34062877
https://www.mdpi.com/1996-1944/14/9/2364
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125664
http://ui.adsabs.harvard.edu/abs/2021Mate...14.2364E/abstract
https://www.mdpi.com/1996-1944/14/9/2364/pdf
https://europepmc.org/article/MED/34062877

Kratkoročna predikcija potrošnje električne energije primjenom regresijskih modela

Autoři: Kuprešak, Tea Matuško, Jadranko

Přispěvatelé: Kuprešak, Tea Matuško, Jadranko

Témata: Artificial intelligence, regression model, Regression Learner App, TEHNIČKE ZNANOSTI. Elektrotehnika, Kratkoročna predikcija potrošnje, PSI Control, Livno Branch, Poslovnica Livno, TECHNICAL SCIENCES. Electrical Engineering, Short-term consumption prediction, umjetna inteligencija, statistical methods, statističke metode, regresijski model, Matlab

Popis souboru: application/pdf

Přístupová URL adresa: https://repozitorij.fer.unizg.hr/islandora/object/fer:10443/datastream/PDF
https://repozitorij.fer.unizg.hr/islandora/object/fer:10443
https://urn.nsk.hr/urn:nbn:hr:168:810646

Kratkoročna predikcija potrošnje električne energije primjenom regresijskih modela ; Short-term prediction of electrical energy consumtion using regression models ; Short-term presumption of electricity consumption to the regression model; Short-term prediction of electrical energy consumtion using regression models

Autoři: Kuprešak, Tea Matuško, Jadranko

Přispěvatelé: Kuprešak, Tea Matuško, Jadranko

Témata: Kratkoročna predikcija potrošnje, umjetna inteligencija, statističke metode, Poslovnica Livno, regresijski model, PSI Control, Matlab, Regression Learner App, Short-term consumption prediction, Artificial intelligence, statistical methods, Livno Branch, regression model, TEHNIČKE ZNANOSTI. Elektrotehnika, TECHNICAL SCIENCES. Electrical Engineering, edu, manag

Relation: https://zir.nsk.hr/islandora/object/fer:10443

Dostupnost: https://zir.nsk.hr/islandora/object/fer:10443