The purpose of this research is to examine the research that has been done on MOOCs by applying data mining and analytic approaches and to depict the current state of MOOC research.The text mining revealed four broad themes: (I) MOOCs as a mainstreaming learning model in HE, (II) motivation and engagement issues in MOOCs, (III) assessment issues in
As the application areas hyfrodol of unmanned aerial vehicles (UAVs) continue to expand, the importance of UAV task allocation becomes increasingly evident.A highly effective and efficient UAV task assignment method can significantly enhance the quality of task completion.However, traditional heuristic algorithms often perform poorly in complex and
Seismic post-stack inversion is one of the best techniques for effective reservoir characterization.This study intends to articulate the application of Model-Based Inversion (MBI) and Probabilistic Neural Networks (PNN) for the identification of reservoir properties i.e.porosity estimation.MBI technique is applied to observe the low impedance zone
Ships have been translocating species around the world for hundreds of years but attempts to understand and manage this issue date back only three decades.Here we review the assessment and management of risks from vessel biofouling and ballast water over this time period from an Australian and New Zealand perspective.We detail a history of successe