Research on a Prediction Model Based on a Newton–Raphson-Optimization–XGBoost Algorithm Predicting Environmental Electromagnetic Effects for an Airborne Synthetic Aperture Radar

Na minha lista:

Detalhes bibliográficos
Publicado no:	Electronics vol. 14, no. 11 (2025), p. 2202
Autor principal:	Shen, Yan
Outros Autores:	Chen, Yazhou, Wang, Yuming, Ma, Liyun, Zhang, Xiaolu
Publicado em:	MDPI AG
Assuntos:	Standard deviation Test systems Signal to noise ratio Prediction models Synthetic aperture radar Optimization Signal processing Electromagnetic interference Antennas Newton-Raphson method Image degradation Algorithms Performance degradation Image quality Parameters Airborne radar Distance learning Reconnaissance Information warfare
Acesso em linha:	Citation/Abstract Full Text + Graphics Full Text - PDF
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!

Seja o primeiro a partilhar um comentário!