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In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...
In Machine Translation (MT), one of most important research fields of AI, models based on Recurrent Neural Net- works (RNN) show state-of-the-art performance ... the input words as well as the neural ...
Blue connected dots forming a neural network, black outline of balloons, and a shopping cart with a notification. Ideal for technology, data analysis, AI, ecommerce, machine learning, scientific ...
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 ... TrashNet benchmark dataset. Our experiment ...
A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs ... Their ...
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