Search Results - Machine Learning Regression Algorithm

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

Authors: Vijaykumar S. Jatti R. Murali Krishnan A. Saiyathibrahim et al.

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

Subject Terms: 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

Access URL: https://doaj.org/article/3a2c2dfb50b6409594a00b9327819c0b

LC oscillator frequency prediction using machine learning linear regression algorithm

Authors: Mandar Jatkar Vasudeva G Tripti R. Kulkarni et al.

Source: Discover Electronics, Vol 2, Iss 1, Pp 1-11 (2025)

Subject Terms: Linear regression, Frequency prediction, LC circuits, Machine learning, Electrical circuits, Inductance, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Mathematics, QA1-939

File Description: electronic resource

Relation: https://doaj.org/toc/2948-1600

Access URL: https://doaj.org/article/ab3e3e6279344769ae6d8fe0a312c036

Student semester marks prediction using linear regression algorithms in machine learning

Authors: Abirami T R. Vadivel

Source: World Journal of Advanced Research and Reviews. 18:469-475

Subject Terms: Artifical Intelligence, Machine Learning, Linear Regression Algorithm, Multiple Marks, Prediction, 4. Education

Trip budget prediction using multivariate linear regression algorithm in machine learning

Authors: Indhumathi S R Vadivel

Source: World Journal of Advanced Research and Reviews. 18:609-617

Subject Terms: Artificial Intelligence, Machine Learning, Linear Regression Algorithm, Real-time data, 0502 economics and business, 05 social sciences

Risk prediction models for discordant growth in dichorionic twins was established based on the logistic regression algorithm and machine learning techniques

Authors: Xi Ye Xuanxuan Hong Xiangfeng Zhang et al.

Machine Learning-Based Malicious Website Detection Using Logistic Regression Algorithm

Authors: Puan Bening Pastika Alamsyah Alamsyah

Source: Engineering, MAthematics and Computer Science Journal (EMACS). 6:207-213

Sales Trend Analysis With Machine Learning Linear Regression Algorithm Method

Authors: Alwidahyani Sipahutar Ibnu Rasyid Munthe Angga Putra Juledi

Source: sinkron. 8:1724-1728

The best performing color space and machine learning regression algorithm for the accurate estimation of chromium (VI) and iron (III) in aqueous samples using low-cost and portable flatbed scanner colorimetry

Authors: Chairul Ichsan Siti Rodiah

Source: Journal of the Iranian Chemical Society. 21:2335-2349

Efficacy of machine learning algorithm in estimating oxyhydrogen gas generation system: Electrolyte concentration and current influence on sustainable energy production

Authors: Subramanian, Balaji Sridharan, Naveen Venkatesh Vaithiyanathan, Sugumaran et al.

Source: Process Safety and Environmental Protection. 191:2292-2302

Subject Terms: Machine Learning, Regression Algorithm, Hydrogen Production, Alternating Model Tree

File Description: application/pdf

Access URL: https://hdl.handle.net/20.500.12713/7394

Deterministic modelling of implied volatility in cryptocurrency options with underlying multiple resolution momentum indicator and non-linear machine learning regression algorithm

Authors: F. Leung M. Law S. K. Djeng

Source: Financial Innovation, Vol 10, Iss 1, Pp 1-25 (2024)

Subject Terms: K4430-4675, Machine learning, HG1-9999, 0502 economics and business, 05 social sciences, Relative strength index, Cryptocurrency options, Momentum indicator, Random Forest regression, Implied volatility, Public finance, Finance

Access URL: https://doaj.org/article/8e6dd346ed8b40818e5f112310bf13da

Load Forecasting Using Random Forest Regression Algorithm in Machine Learning

Authors: Madhu Malini M K Iswariya B H. Prasad et al.

Source: 2024 International Conference on Science Technology Engineering and Management (ICSTEM). :1-6

DETECTION OF CHILDREN'S NUTRITIONAL STATUS USING MACHINE LEARNING WITH LOGISTIC REGRESSION ALGORITHM

Authors: Yuliana Yuliana Paradise Paradise Mudawil Qulub

Source: JURTEKSI (Jurnal Teknologi dan Sistem Informasi). 10:267-274

Subject Terms: 2. Zero hunger, 3. Good health

Adaptive terminal synergetic-backstepping technique based machine learning regression algorithm for MPPT control of PV systems under real climatic conditions

Authors: Jean de Dieu Nguimfack-Ndongmo Ambe Harrison Njimboh Henry Alombah et al.

Source: ISA Transactions. 145:423-442

Subject Terms: 7. Clean energy

Access URL: https://pubmed.ncbi.nlm.nih.gov/38057172

Application of Supervised Machine Learning Regression Algorithm to Prediction of Dielectric Properties of PPy/Kufeki Stone Composites for Energy Implementations

Authors: Önder EYECİOGLU Yaşar KARABUL Mehmet KILIÇ et al.

Source: Volume: 35, Issue: 1 235-254
Gazi University Journal of Science

Subject Terms: Engineering, 0103 physical sciences, Mühendislik, Machine learning, Supervised regression algorithms, Gaussian process regression, Dielectric parameters, 02 engineering and technology, 0210 nano-technology, 01 natural sciences

File Description: application/pdf

Access URL: https://dergipark.org.tr/en/download/article-file/1346265
https://avesis.yildiz.edu.tr/yayin/a71c7fa8-9239-4238-9721-0018484c7ad8/application-of-supervised-machine-learning-regression-algorithm-to-prediction-of-dielectric-properties-of-ppy-kufeki-stone-composites-for-energy-implementations
https://dergipark.org.tr/en/pub/gujs/issue/54905/810948
https://dergipark.org.tr/en/download/article-file/1346265
https://avesis.yildiz.edu.tr/publication/details/a71c7fa8-9239-4238-9721-0018484c7ad8/oai
https://dergipark.org.tr/tr/pub/gujs/issue/68674/810948

An Empirical Study of Regression Algorithms for Soil Organic Matter Prediction

Authors: Neofytou, Eleni Neophytides, Stelios P. Mavrovouniotis, Michalis et al.

Source: IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium

Subject Terms: Soil organic matter, machine learning, neural network, Earth and Related Environmental Sciences, Natural Sciences, regression analysis, boosting learning

Access URL: https://hdl.handle.net/20.500.14279/34764

Smart Delivery Assignment through Machine Learning and the Hungarian Algorithm

Authors: Juan Pablo Vásconez Elias Schotborgh Ingrid Nicole Vásconez et al.

Source: Smart Cities, Vol 7, Iss 3, Pp 1109-1125 (2024)

Subject Terms: I460 - Machine learning, regression model, 0211 other engineering and technologies, 02 engineering and technology, Engineering (General). Civil engineering (General), machine learning, H671 - Robotics, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, machine learning-based, regression algorithm, smart delivery, TA1-2040, Hungarian optimization algorithm

Access URL: https://doaj.org/article/e26babdc30b74736b18d30586daa7803

MODELING OF GENERAL CARGO SHIP’S MAIN ENGINE POWERS WITH REGRESSION BASED MACHINE LEARNING ALGORITHMS: COMPARATIVE RESEARCH

Authors: Fatih OKUMUŞ Araks EKMEKÇİOĞLU

Source: Volume: 3, Issue: 1 1-8
Mersin University Journal of Maritime Faculty

Subject Terms: 0502 economics and business, 0103 physical sciences, 05 social sciences, Maritime Engineering (Other), Machine learning, Regression algorithm, General cargo ship, Engine power, Prediction, 01 natural sciences, Deniz Mühendisliği (Diğer)

File Description: application/pdf

Access URL: https://dergipark.org.tr/en/download/article-file/1723068
https://dergipark.org.tr/tr/pub/meujmaf/issue/63096/923874
https://dergipark.org.tr/tr/download/article-file/1723068
https://avesis.yildiz.edu.tr/yayin/30927f77-5cea-4c45-b1ac-c0b0aaad9651/modeling-of-general-cargo-ships-main-engine-powers-with-regression-based-machine-learning-algorithms-comparative-research
https://avesis.yildiz.edu.tr/publication/details/30927f77-5cea-4c45-b1ac-c0b0aaad9651/oai
https://dergipark.org.tr/tr/pub/meujmaf/issue/63096/923874

Comparison of Machine Learning Algorithms for Predicting Stunting Prevalence in Indonesia

Authors: Moh. Asry Eka Pratama Syaiful Hendra Hajra Rasmita Ngemba et al.

Source: Jurnal Sisfokom, Vol 13, Iss 2, Pp 200-209 (2024)

Subject Terms: machine learning, stunting prevalence, stunting, regression algorithm, Information technology, tableau, T58.5-58.64, 3. Good health

Access URL: https://doaj.org/article/e7275c8639af4f9499a93c9b9514e82e

Multi-objective Symbolic Regression for Clinician-in-the-loop Machine Learning algorithms

Authors: Ferrari, D Wang, Y Edgeworth, J et al.

Source: Eur J Public Health

Subject Terms: Poster Displays

Sample-Optimal Private Regression in Polynomial Time

Authors: Prashanti Anderson Ainesh Bakshi Mahbod Majid et al.

Contributors: Prashanti Anderson Ainesh Bakshi Mahbod Majid et al.

Source: STOC '25: Proceedings of the 57th Annual ACM Symposium on Theory of Computing

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Differential Privacy, Linear Regression, Robustness, Statistics - Machine Learning, Computer Science - Information Theory, Information Theory (cs.IT), Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), Machine Learning (stat.ML), Machine Learning (cs.LG)

File Description: application/application/pdf

Access URL: http://arxiv.org/abs/2503.24321
http://hdl.handle.net/20.500.11850/745258