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Decoding high energy physics with AI and machine learning
In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...
IEEE23d
Waste Image Segmentation Using Convolutional Neural Network Encoder-Decoder with SegNet Architecture
In this paper, we propose a waste segmentation method using Convolutional Neural Network based on the Encoder-Decoder approach of SegNet architecture [5]. We compare two different setups of the ...
IEEE27d
Design of a Universal Decoder Model Based on DNA Winner-Takes-All Neural Networks
The effect becomes more pronounced as the number of input patterns increases. Finally, 2-4, 3-8, and 4-16 decoder circuits are built using the winner-take-all neural networks, and an ...