Lessons learned from the application of machine learning to studies on plant response to radio-frequency tech./dosim.

[Gezogene Lehren aus der Anwendung maschinellen Lernens auf Studien zur Reaktion von Pflanzen auf Hochfrequenz]

Exposition

• • Hochfrequenz

Themenverwandte Artikel

• Halgamuge MN (2020): Supervised Machine Learning Algorithms for Bioelectromagnetics: Prediction Models and Feature Selection Techniques Using Data from Weak Radiofrequency Radiation Effect on Human and Animals Cells
• Halgamuge MN (2017): Machine Learning for Bioelectromagnetics: Prediction Model using Data of Weak Radiofrequency Radiation Effect on Plants