Abstract: Convolutional neural networks (CNNs) have shown impressive performance in hyperspectral image (HSI) classification. However, these deep learning methods still face two major challenges. One ...
Ainur Rychshanova is an experienced GIS Analyst based in Doha, Qatar, with over eight years of expertise in geospatial data ...
Drone images have allowed researchers to explore new questions due to their incredible spatial resolution. Ironically however, the level of detail renders traditional image analysis methods largely ...
Investigation of Deep Learning Techniques Used in Medicinal Plants Identification and Classification
Abstract: There is a global dependence on medicinal plants for the treatment of diverse health conditions, particularly in developing countries, where government medical facilities are inadequate.
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
ABSTRACT: Waste generation in Kenya has been increasing with the rapid urbanization (Haregu et al., 2017; Okot-Okumu, 2012). Almost 50% of the waste is generated in urban centers, and 0.5 kg per ...
I installed ArcGIS Pro on a computer that does not have NVIDIA GPU and was able to install the "deep-learning-essentials" package into a clone of the default arcgispro-py3 environment. Why the tool is ...
I'm using AcGIS pro 3.2 and the latest Deep learning Libraries also for 3.2 Deep Learning Libraries Installer for ArcGIS Pro 3.2 The installation goes without any problems however inside the Package ...
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