Suchergebnisse - "Hybrid Machine Learning Algorithm"

Yoga practices effect on VCSS-based classification of patients with chronic venous insufficiency based on hybrid machine learning algorithms

Autoren: Changhong Pan Lu Qi Lili Zhao et al.

Quelle: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 255-266 (2025)

Schlagwörter: Yoga practices, Venous clinical severity score, Decision Tree classifier, Electronic computers. Computer science, Science, Chronic venous insufficiency, QA75.5-76.95, Hybrid Machine Learning Algorithm

Zugangs-URL: https://doaj.org/article/094f4d3829df4bb496d23b86d20d4fbe

Prediction of Failures in Aircraft Parts Using Hybrid Machine Learning Algorithm

Autoren: Shekhawat, Jyoti Mohammed, Shoaib Singh, B. P. et al.

Quelle: International Journal of Intelligent Systems and Applications in Engineering; Vol. 12 No. 19s (2024); 766-773

Schlagwörter: aviation sector, aircraft parts, hybrid machine learning algorithm, Min-max normalization, Altered Genetic Algorithms (AGA)

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.ijisae.org/index.php/IJISAE/article/view/5208

Estimating SVCV waterborne transmission and predicting experimental epidemic development: A modeling study using a machine learning approach

Autoren: Jiaji Pan Qijin Zeng Wei Qin et al.

Quelle: Water Biology and Security, Vol 3, Iss 1, Pp 100212- (2024)

Schlagwörter: Epidemic mathematical model, Hybrid machine learning algorithm, Reproduction number, Sensitivity analysis, SVCV transmission, Environmental sciences, GE1-350, Biology (General), QH301-705.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772735123000987; https://doaj.org/toc/2772-7351

Zugangs-URL: https://doaj.org/article/afee12fa528b4fc79f5ca7c8ebe73c1c

Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area

Autoren: Meriame Mohajane Romulus Costache Firoozeh Karimi et al.

Quelle: Ecological Indicators, Vol 129, Iss , Pp 107869- (2021)

Schlagwörter: Forest fire, Hybrid machine learning algorithm, Remote sensing, Mediterranean area, Ecology, QH540-549.5

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1470160X21005343; https://doaj.org/toc/1470-160X

Zugangs-URL: https://doaj.org/article/5909ec1491bb475587673f6dd86280e7