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RETRACTED ARTICLE: Classification of stroke disease using machine learning algorithms
P Govindarajan, RK Soundarapandian… - Neural Computing and …, 2020 - Springer
This paper presents a prototype to classify stroke that combines text mining tools and
machine learning algorithms. Machine learning can be portrayed as a significant tracker in …
machine learning algorithms. Machine learning can be portrayed as a significant tracker in …
[HTML][HTML] Sentinel-1 and 2 time-series for vegetation map** using random forest classification: A case study of Northern Croatia
Land-cover (LC) map** in a morphologically heterogeneous landscape area is a
challenging task since various LC classes (eg, crop types in agricultural areas) are …
challenging task since various LC classes (eg, crop types in agricultural areas) are …
[HTML][HTML] Multi-temporal land cover change map** using google earth engine and ensemble learning methods
The study deals with the application of Google Earth Engine (GEE), Landsat data and
ensemble-learning methods (ELMs) to map land cover (LC) change over a decade in the …
ensemble-learning methods (ELMs) to map land cover (LC) change over a decade in the …
Urban land cover and land use classification using multispectral sentinal-2 imagery
In recent years, remote sensing data contains ample information about landcover due to the
advancements in remote sensing technology. Humans can utilize this data in agriculture …
advancements in remote sensing technology. Humans can utilize this data in agriculture …
[HTML][HTML] Improving land use/cover classification with a multiple classifier system using AdaBoost integration technique
Y Chen, P Dou, X Yang - Remote Sensing, 2017 - mdpi.com
Guangzhou has experienced a rapid urbanization since 1978 when China initiated the
economic reform, resulting in significant land use/cover changes (LUC). To produce a time …
economic reform, resulting in significant land use/cover changes (LUC). To produce a time …
Spatio-Temporal Variation of Cyanobacteria Blooms in Taihu Lake Using Multiple Remote Sensing Indices and Machine Learning
In view of the ecological threat posed by cyanobacteria blooms in Taihu Lake (China), this
paper presents a study on the area of cyanobacteria extent based on MODIS data using the …
paper presents a study on the area of cyanobacteria extent based on MODIS data using the …
Remote sensing image classification using deep–shallow learning
Recently, classification using multiple classifier system (MCS) has been reported as an
effective method to improve remote sensing (RS) image classification. Such systems provide …
effective method to improve remote sensing (RS) image classification. Such systems provide …