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Fast parameter estimation of Generalized Extreme Value distribution using Neural Networks
The heavy-tailed behavior of the generalized extreme-value distribution makes it a popular choice for modeling extreme events such as floods, droughts, heatwaves, wildfires, etc.
Student Dropout Risk Assessment in Undergraduate Course at Residential University
Student dropout prediction is an indispensable for numerous intelligent systems to measure the education system and success rate of any university as well as throughout the university in the world.
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