Abstract: The accurate prediction of low-power output events in regional wind farms is important for the grid dispatch of the power system. However, conventional wind power prediction methods mainly ...
This project implements a neural network from scratch to classify handwritten digits using the MNIST dataset. The neural network is built using Python and utilizes libraries such as NumPy and ...
Abstract: Accurate segmentation of breast cancer (BC) in ultrasound images is a complicated task due to the variable nature of ultrasound images. Recently, many techniques are suggested to accurately ...
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