Výsledky vyhledávání - "population-based vortex search algorithm"

Innovative Machine Learning Approach for Forecasting Student Performance in Degree Programs: A Case Study Using Naive Bayes Classification

Autoři: Nana Wang

Zdroj: Journal of Applied Science and Engineering, Vol 29, Iss 3, Pp 639-653 (2025)

Témata: student performance, model, naive bayes classification, population-based vortex search algorithm, electric charged particles optimization, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Physics, QC1-999

Popis souboru: electronic resource

Relation: http://jase.tku.edu.tw/articles/jase-202603-29-03-0015; https://doaj.org/toc/2708-9967; https://doaj.org/toc/2708-9975

Přístupová URL adresa: https://doaj.org/article/33eb370fd9674b359111f05aff4c0183

Anticipating Properties of Ultra-High-Performance Concrete through the K-Nearest Neighbor Algorithm

Autoři: Yonghoon Won

Zdroj: Journal of Artificial Intelligence and System Modelling, Vol 03, Iss 03, Pp 15-33 (2025)

Témata: ultra-high-performance concrete, machine learning, k-nearest neighbor-based, giant trevally optimizer, population-based vortex search algorithm, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://jaism.bilijipub.com/article_230939_9da4fee65acae5a0b493196ad3f73fc8.pdf; https://doaj.org/toc/3041-850X

Přístupová URL adresa: https://doaj.org/article/ac83ac0a8b514aab81a1fd9d7fc7887b

Applying Support Vector Regression-Based Hybrid Models for Modeling the Gasification Process

Autoři: Baofu Gong

Zdroj: Journal of Applied Science and Engineering, Vol 28, Iss 6, Pp 1195-1208 (2024)

Témata: gasification modeling, machine learning, support vector regression, crystal structure algorithm, population-based vortex search algorithm, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Physics, QC1-999

Popis souboru: electronic resource

Relation: http://jase.tku.edu.tw/articles/jase-202506-28-06-0003; https://doaj.org/toc/2708-9967; https://doaj.org/toc/2708-9975

Přístupová URL adresa: https://doaj.org/article/fb59c850573044e9aef1728545e785ed

Forecasting Residential Building Heating Load with an Innovative Gaussian Process Regression Method

Autoři: Xiaoyu Sun

Zdroj: Journal of Applied Science and Engineering, Vol 28, Iss 6, Pp 1219-1231 (2024)

Témata: heating load, gaussian process regression, population-based vortex search algorithm, flow direction algorithms, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Physics, QC1-999

Popis souboru: electronic resource

Relation: http://jase.tku.edu.tw/articles/jase-202506-28-06-0005; https://doaj.org/toc/2708-9967; https://doaj.org/toc/2708-9975

Přístupová URL adresa: https://doaj.org/article/aaf4a008ec494584ab5578946d1968a5