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

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

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

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: Implied volatility, Cryptocurrency options, Momentum indicator, Relative strength index, Machine learning, Random Forest regression, Public finance, K4430-4675, Finance, HG1-9999

File Description: electronic resource

Relation: https://doaj.org/toc/2199-4730

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

Analysis of the Effect of Health Literacy on Alzheimer's Disease Cognition Based on Machine Learning Regression Algorithm

Authors: Xue-Ying Li Li-Jun Yang Li-Li Xu et al.

Source: 2022 6th Annual International Conference on Data Science and Business Analytics (ICDSBA). :560-565

Predicting the energetic proton flux with a machine learning regression algorithm

Authors: Stumpo, Mirko Laurenza, Monica Benella, Simone et al.

Index Terms: Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Computer Science - Machine Learning, Physics - Space Physics, text

URL: http://arxiv.org/abs/2406.12730

Journal of Materials Research and Technology / 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: Jatti, Vijaykumar S. Murali Krishnan, R. Saiyathibrahim, A. et al.

Access URL: https://pub.hcw.ac.at/doi/10.1016/j.jmrt.2024.06.001

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

Burned Calories Prediction using Supervised Machine Learning: Regression Algorithm

Authors: Marte Nipas Aimee G. Acoba Jennalyn N. Mindoro et al.

Source: 2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T). :1-4

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Machine-learning regression algorithm for estimating waist circumference

Authors: Bryan V. Phillips F.

Subject Terms: International Public Health, 2. Zero hunger, Bioinformatics, Computer Sciences, Life Sciences, Computational Engineering, Health Information Technology, Diseases, Engineering, Medicine and Health Sciences, Physical Sciences and Mathematics, Computer Engineering, Public Health, Numerical Analysis and Scientific Computing, Biology, Biomedical Engineering and Bioengineering

Predicting the Energetic Proton Flux with a Machine Learning Regression Algorithm

Authors: Mirko Stumpo Monica Laurenza Simone Benella et al.

Source: The Astrophysical Journal, Vol 975, Iss 1, p 8 (2024)

Subject Terms: FOS: Computer and information sciences, Solar energetic particles, Computer Science - Machine Learning, Space weather, FOS: Physical sciences, Astrophysics, 7. Clean energy, Space Physics (physics.space-ph), Machine Learning (cs.LG), QB460-466, Astrophysics - Solar and Stellar Astrophysics, Physics - Space Physics, 13. Climate action, Solar radiation, Interplanetary physics, Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Solar and Stellar Astrophysics (astro-ph.SR)

Access URL: http://arxiv.org/abs/2406.12730
https://doaj.org/article/5d01534383ef4a87ae616c63f4106685

Predicting the Energy Spectra of Solar Energetic Particles with a Machine Learning Regression Algorithm

Authors: Jiajun Liu Zhendi Huang Jingnan Guo et al.

Source: The Astrophysical Journal Letters, Vol 975, Iss 2, p L43 (2024)

Subject Terms: QB460-466, Solar energetic particles, Space weather, 0103 physical sciences, Astrophysics, 01 natural sciences, 0105 earth and related environmental sciences

Access URL: https://doaj.org/article/caffe4332ceb4b30ab28041833b69f68

Research on tunnel engineering monitoring technology based on BPNN neural network and MARS machine learning regression algorithm

Authors: Dong Su Zezhou Wu Xiaohua Bao et al.

Source: Neural Computing and Applications. 33:239-255

Subject Terms: 0211 other engineering and technologies, 02 engineering and technology

Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam

Authors: An Thi Ngoc Dang Subrata Nandy Ritika Srinet et al.

Source: Ecological Informatics. 50:24-32

Subject Terms: 13. Climate action, 0211 other engineering and technologies, 0401 agriculture, forestry, and fisheries, 04 agricultural and veterinary sciences, 02 engineering and technology, 15. Life on land

Access URL: https://repo.mel.cgiar.org/handle/20.500.11766/9262
https://dblp.uni-trier.de/db/journals/ecoi/ecoi50.html#DangNSLGK19
https://www.sciencedirect.com/science/article/pii/S1574954118301894

Selecting, optimizing and externally validating a preexisting machine-learning regression algorithm for estimating waist circumference

Authors: Bryan V. Phillips-Farfán

Source: Computers in Biology and Medicine. 169:107909

Subject Terms: Risk Factors, Humans, Obesity, Waist Circumference, Body Mass Index

Access URL: https://pubmed.ncbi.nlm.nih.gov/38181609

Visiting Time Prediction Using Machine Learning Regression Algorithm

Authors: Isti Surjandari Indri Hapsari Komarudin

Source: 2018 6th International Conference on Information and Communication Technology (ICoICT). :495-500

Subject Terms: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Access URL: http://repository.ubaya.ac.id/32603/1/Paper%20Indri%20-Telkom.pdf
http://repository.ubaya.ac.id/32603/
https://scholar.ui.ac.id/en/publications/visiting-time-prediction-using-machine-learning-regression-algori

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

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

Source: ISA Transactions. Feb2024, Vol. 145, p423-442. 20p.

Subject Terms: Machine learning, Artificial intelligence, Photovoltaic power systems, Backstepping control method, Particle swarm optimization, Adaptive fuzzy control

Efficient Machine Learning Regression Algorithm using Naïve Bayes Classifier for Crop Yield Prediction and Optimal Utilization of Fertilizer

Authors: Parthasarathy G Chandana C

Source: International Journal of Performability Engineering. 18:47

Machine Learning Regression Algorithm Predicts Multi-component Crystal Configuration Energy

Authors: Peng Wang Shu Li Jinshuo Mei et al.

Source: Journal of Physics: Conference Series. 1732:012087

Subject Terms: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Access URL: http://ui.adsabs.harvard.edu/abs/2021JPhCS1732a2087W/abstract

Efficient Machine Learning Regression Algorithm using Naïve Bayes Classifier for Crop Yield Prediction and Optimal Utilization of Fertilizer.

Authors: Chandana, C. Parthasarathy, G.

Source: International Journal of Performability Engineering. Jan2022, Vol. 18 Issue 1, p47-55. 9p.

Subject Terms: Crop yields, Machine learning, Decision support systems, Fertilizers, Data mining