[PDF][PDF] Research methods in machine learning: A content analysis
Research methods in machine learning play a pivotal role since the accuracy and reliability
of the results are influenced by the research methods used. The main aims of this paper …
of the results are influenced by the research methods used. The main aims of this paper …
A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems
This paper investigates the capability of the free synthetic aperture radar (SAR) Sentinel-1 (S-
1) C-band data for burned area mapping through unsupervised machine learning open …
1) C-band data for burned area mapping through unsupervised machine learning open …
Contribution of Polarimetry and Multi-Incidence to Soil Moisture Estimation Over Agricultural Fields Based on Time Series of L-Band SAR Data
H Shi, JM Lopez-Sanchez, J Yang, P Li… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
The alpha approximation method is known to be effective and simple for soil moisture
retrieval from time series of synthetic aperture radar data. However, its accuracy is usually …
retrieval from time series of synthetic aperture radar data. However, its accuracy is usually …
Research Methods in Machine Learning: A Content Analysis
JK Wambugu, GM Wambugu - 2021 - repository.mut.ac.ke
Research methods in machine learning play a pivotal role since the accuracy and reliability
of the results are influenced by the research methods used. The main aims of this paper …
of the results are influenced by the research methods used. The main aims of this paper …