Deep learning semantic segmentation for land use and land cover types using Landsat 8 imagery
Using deep learning semantic segmentation for land use extraction is the most challenging
problem in medium spatial resolution imagery. This is because of the deep convolution layer …
problem in medium spatial resolution imagery. This is because of the deep convolution layer …
Neural Network Guided Variability Detection in Geospatial Data
AM Salama - 2023 - search.proquest.com
Geospatial data refers to data associated with a specific location on the earth's surface. It
plays an important role in a wide range of applications, including environmental monitoring …
plays an important role in a wide range of applications, including environmental monitoring …
A Visualization Training Tool for Optimum Cutting Range During Urethral Dissection in Robot-Assisted Radical Prostatectomy: A deep learning approach
SL Kharbach - 2021 - qspace.qu.edu.qa
Surgical training and skills assessment is one of the methodologies used by clinical
practitioners to master their skills in a fault-tolerant, safe and risk-free environment. Software …
practitioners to master their skills in a fault-tolerant, safe and risk-free environment. Software …