Research on linear regression algorithm
MATEC Web Conf., 395 (2024) 01046
Published online: 2024-05-15
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
(2026)
https://doi.org/10.21203/rs.3.rs-8431208/v1
AI-UBREM data-driven model using neural networks for energy digital twining demonstrating EMS via solar potential prediction
Sammar AllamJournal of Umm Al-Qura University for Engineering and Architecture (2026)
https://doi.org/10.1007/s43995-025-00273-3
1093 (2026)
https://doi.org/10.1109/CISCE69494.2026.11504493
534 193 (2026)
https://doi.org/10.1007/978-3-032-17079-8_12
SIGMaL: An Integrated Framework for Water Quality Monitoring in a Coastal Shallow Lake
Anja Batina, Ante Šiljeg, Andrija Krtalić and Ljiljana ŠerićRemote Sensing 18 (2) 312 (2026)
https://doi.org/10.3390/rs18020312
Influence of Alloying Elements and Annealing Temperature on Lankford Constant of High Strength Dual Phase Steels Using Supervised Regression Models
Avijit Pal, Rajan Verma, Pritam Mandal, Samjukta Sinha, Prabhat Das, Snehanshu Pal and Manojit GhoshJournal of The Institution of Engineers (India): Series D (2026)
https://doi.org/10.1007/s40033-026-00992-4
(2026)
https://doi.org/10.2139/ssrn.6623522
Machine learning-enabled prediction of lattice constants of A2B2X7 pyrochlores via cross-validated multiple linear regression model
Yatramohan Jana, Czesław Rudowicz and Muhammed AçıkgözComputational Condensed Matter 46 e01258 (2026)
https://doi.org/10.1016/j.cocom.2026.e01258
704 145 (2025)
https://doi.org/10.1007/978-981-96-7783-2_12
704 3 (2025)
https://doi.org/10.1007/978-981-96-7783-2_1
Yazılım Maliyet Tahmininde Makine Öğrenimi ve Geleneksel Yöntemlerin Karşılaştırmalı Analizi
Mehtap Ayal and Serdar SolakSürdürülebilir Mühendislik Uygulamaları ve Teknolojik Gelişmeler Dergisi 8 (2) 120 (2025)
https://doi.org/10.51764/smutgd.1768788
1 (2025)
https://doi.org/10.1109/ATEE66006.2025.11299969
1 (2025)
https://doi.org/10.1109/ICCAI65301.2025.11279295
1 (2025)
https://doi.org/10.1109/SCI68648.2025.11333851
1 (2025)
https://doi.org/10.1109/ICMLCA66850.2025.11336338
1 (2025)
https://doi.org/10.1109/CONECCT65861.2025.11306700
1416 240 (2025)
https://doi.org/10.1007/978-981-96-5693-6_37
Computer-Based Licensure Examination for Librarians: A Comparative Analysis
Baby Jane Alupit and Maria Lorena AbanganPsychology and Education: A Multidisciplinary Journal 41 (3) 424 (2025)
https://doi.org/10.70838/pemj.410310
Konsistensi Model Regresi Empat Variabel Pada Populasi dan Sampel untuk Prediksi Temperatur
Nurjannah Syakrani and Naufal Athaya S. RJournal of Applied Computer Science and Technology 6 (1) 9 (2025)
https://doi.org/10.52158/jacost.v6i1.971
Stacking machine learning model for price forecasting of ten popular cryptocurrencies using differential evolution algorithm
Mohammad Hossein Asgari, Amir Daneshvar, Mehdi Madanchi Zaj, Fereydon Rahnamay Roodposhti and Davood ManzoorIran Journal of Computer Science 8 (3) 1157 (2025)
https://doi.org/10.1007/s42044-024-00213-9
A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model
Shayma Alkobaisi, Wan D. Bae, Muhammad Farhan Safdar, Najah Abed Abu Ali, Sungroul Kim, Choon-Sik Park, Robert Marek Nowak and Vijayalakshmi KakulapatiPLOS One 20 (8) e0326036 (2025)
https://doi.org/10.1371/journal.pone.0326036
Machine Learning Models for Nba Game Prediction
Weichen Peng and K. SubramaniyaITM Web of Conferences 78 01011 (2025)
https://doi.org/10.1051/itmconf/20257801011
Machine Learning-Based Water Level Forecast in a Dam Reservoir: A Case Study of Karaçomak Dam in the Kızılırmak Basin, Türkiye
Senem Güneş ŞenSustainability 17 (18) 8378 (2025)
https://doi.org/10.3390/su17188378
Data-Driven Approaches for State-of-Charge Estimation in Battery Electric Vehicles Using Machine and Deep Learning Techniques
Ehab Issa El-Sayed, Salah K. ElSayed and Mohammad AlsharefSustainability 16 (21) 9301 (2024)
https://doi.org/10.3390/su16219301
1 (2024)
https://doi.org/10.1109/ICITR64794.2024.10857750