Kyle Brown

Smart farming using artificial intelligence: A review

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

Analysis of spatial distribution pattern of change-detection error caused by misregistration

Software Architecture Reconstruction: A Process-Oriented Taxonomy

Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines

Change detection method for remote sensing images based on an improved Markov random field

A method for taxonomy development and its application in information systems

Random Forests as a tool for estimating uncertainty at pixel-level in SAR image classification

Modelling geometric and misregistration error in airborne sensor data to enhance change detection

Estimating per‐pixel thematic uncertainty in remote sensing classifications

Design reverse-engineering and automated design-pattern detection in Smalltalk