Suchergebnisse - "Machine Learning Algorithm"

Sustainable Selection of Machine Learning Algorithm for Gender-bias Attenuated Prediction

Autoren: Orbay, Raik Wikner, Evelina

Quelle: IEEE Open Journal of Vehicular Technology. 6:348-358

Schlagwörter: Feature engineering, Energy consumption, Battery electric vehicles, Unsupervised/supervised learning, Driving style classification, Machine learning

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/543996
https://research.chalmers.se/publication/543996/file/543996_Fulltext.pdf

Machine learning algorithm for GPCR-A17 ligand action prediction: A Novel Approach to Drug Discovery

MACHINE LEARNING ALGORITHM FOR GPCR-A17 LIGAND ACTION PREDICTION: A Novel Approach to Drug Discovery

Autoren: Silva, Rodolfo Miguel Tavares da

Schlagwörter: GPCRs, Artificial Intelligence, Machine Learning, Deep Learning, Drug Discovery, Inteligência Artificial, Descoberta de Medicamentos

Verfügbarkeit: https://hdl.handle.net/10316/117960

Review on PAPR Reduction and Improvement of OFDM System Performance Using Artificial Intelligence Machine Learning Algorithm

Autoren: Rahul Mishra

Quelle: International Journal of Scientific Research and Engineering Trends. 11:106-110

Differentiating Type 1 and Type 2 myocardial infarction using a machine learning algorithm and biomarkers

Autoren: Anna Snavely Laurel Jackson Christian John Hunter et al.

Quelle: The American Journal of Emergency Medicine. 98:50-56

Factors associated with the presence of anxiety and depression symptoms in rural hypertensive adults in Bangladesh: leveraging extreme gradient booster machine learning algorithm

Autoren: Raihana, Zarin Kader, Manzur Islam, Md Zahidul et al.

Quelle: Frontiers in Psychology. 16

Schlagwörter: anxiety, depression, hypertension, logistic regression, machine learning

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:du-51403
https://doi.org/10.3389/fpsyg.2025.1650667

Estimation of Potato Water Footprint Using Machine Learning Algorithm Models in Arid Regions

Autoren: Abdel-Hameed, Amal Mohamed Abuarab, Mohamed Al-Ansari, Nadhir et al.

Quelle: Potato Research. 67(4):1755-1774

Schlagwörter: Artifcial neural network, Blue water footprint, Random forest, Support vector regression, Water management, Soil Mechanics, Geoteknik

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-104949
https://doi.org/10.1007/s11540-024-09716-1

Carbon Emission Forecasting in Electric Power Sector in Shanxi Province Based on ARDL Model and Machine Learning Algorithm

Autoren: Yitong Liu

Quelle: Advances in Economics, Management and Political Sciences. 197:28-34

International external validation of the SORG machine learning algorithm for predicting sustained postoperative opioid prescription after anterior cervical discectomy and fusion using a Taiwanese cohort of 1,037 patients

Autoren: Yu-Yung Chen Hung-Kuan Yen Jui-Yo Hsu et al.

Quelle: The Spine Journal. 25:2036-2048

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40158632

Effect of Environmental Tax on Ecological Quality Using Machine Learning Algorithm

Autoren: Kingsley Appiah Kofi Mintah Oware Eric Nkansah et al.

Quelle: International Journal of Energy Economics and Policy. 15:255-267

Intelligent Classification Model for Animation Style Based on Machine Learning Algorithm

Autoren: Xinrui Peng Xinghan Tian

Quelle: Applied and Computational Engineering. 170:1-8

A machine learning algorithm to predict the success of a second microsurgical testicular sperm extraction

Autoren: Akef Obeidat Belal Nedal Sabbah Hammam Mandourah et al.

Quelle: Annals of Medicine & Surgery. 87:5394-5400

A Predictive Model Based on Machine Learning Algorithm for Vein Thrombosis After Ovarian Cancer Resection

Autoren: Zhao L Yao L

Quelle: International Journal of Women's Health, Vol 17, Iss Issue 1, Pp 4207-4226 (2025)

Schlagwörter: Ovarian cancer, machine learning algorithm, predictive model, postoperative venous thromboembolism, risk factors, XGBoost, Gynecology and obstetrics, RG1-991

Dateibeschreibung: electronic resource

Relation: https://www.dovepress.com/a-predictive-model-based-on-machine-learning-algorithm-for-vein-thromb-peer-reviewed-fulltext-article-IJWH; https://doaj.org/toc/1179-1411

Zugangs-URL: https://doaj.org/article/cd604138211242819ddaf9f0071c8d74

Aspect-Based Sentiment Analysis on Amazon Product Reviews Using a Novel Hybrid Machine Learning Algorithm

Autoren: Timothy Louis Scott Wei Wei Goh Navid Ali Khan

Quelle: JUCS - Journal of Universal Computer Science. 31:1147-1174

XGBoost-Based Demand Forecasting in Supply Chain Management Using Machine Learning Algorithm

Autoren: null S. Nagadevi null G. Abirami null R. Vidhya et al.

Quelle: International Journal of Interactive Mobile Technologies (iJIM). 19:161-174

Machine Learning Algorithm Applications in E- Commerce Platforms

Autoren: Yuying Wang

Quelle: Advances in Economics, Management and Political Sciences. 220:11-19

Credit card fraud Detection using Feature select method and improved machine learning algorithm

Autoren: null Mohammed mansooor AL-Hammadi

Quelle: AL-Rafidain Journal of Computer Sciences and Mathematics. 19:122-133

Evaluation of Machine Learning Algorithm Performance for Medical Diagnosis Tasks

Autoren: Shoxsanam Saydulloyeva Eshim Mardanov Muhabbat Hayitova

Quelle: 2025 International Russian Automation Conference (RusAutoCon). :892-896

Sign Language Recognition Based Communication System Using Machine Learning Algorithm for Vocally Impaired People

Autoren: Mohammed Abdul Kader Md. Jahid Hasan Md. Ariful Islam Emon et al.

Quelle: European Journal of Artificial Intelligence and Machine Learning. 4:1-9

A machine learning algorithm for the prediction of the viscoelastic properties of asphalt mixtures

Autoren: Fernando Oscar Martinez Silvia Angelone Marina Cauhape Casaux et al.

Quelle: Numerical Methods in Civil Engineering. 10:1-12

Optimizing early lung cancer prediction using machine learning algorithm

Autoren: Ram G. Paryani Om P. Mehta Jignesh H. Vaniya

Quelle: IET Conference Proceedings. 2025:879-887