Cy Mozingo, Grant Neely
Assessment of the Educational and Training Modalities in Point-of-Care Ultrasound (POCUS) for Anesthesiologists
International anesthesiology clinics
context environmental social applications analysis land use land cover lulc holds immense significance growing accessibility remote sensing rs data led development lulc benchmark datasets especially pivotal intricate image classification tasks study addresses scarcity benchmark datasets across diverse settings particular focus distinctive landscape india study entails creation patchbased datasets consisting 4000 labelled images spanning four distinct lulc classes derived sentinel2 satellite imagery subsequent classification task three traditional machine learning ml models three convolutional neural networks cnns employed despite facing several challenges throughout process dataset generation subsequent classification cnn models consistently attained overall accuracy 90 notably one ml models stood 96 accuracy surpassing cnns specific context study also conducts comparative analysis ml models existing benchmark datasets revealing higher prediction accuracy dealing fewer lulc classes thus selection appropriate model hinges given task available resources necessary tradeoffs performance efficiency particularly crucial resourceconstrained settings standardized benchmark dataset contributes valuable insights relative performance deep cnn ml models lulc classification providing comprehensive understanding strengths weaknesses