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G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation
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CHAPTER 1
Autoregressive Adaptive Hypergraph Transformer for Skeleton-based Activity Recognition
Basics on Reed Solomon Codes with an example
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Combinational Circuits
Generative artificial intelligence (GenAI) has been developing with many incredible achievements lik...
The complete execution of an instruction involves the fetch-decode-execute cycle, where the processo...
We propose to take advantage of the advances in Artificial Intelligence and, in particular, Long Sho...
It is shown that neural networks (NNs) achieve excellent performances in image compression and recon...
Ripple-carry adders are slow due to the cumulative propagation time of carry in different stages Del...
Development of transformer is a far progressive step in the long journeys of both generative artific...
Introduction to Autoencoders: Types and Applications
U-Net is a convolutional neural network (CNN) architecture designed for semantic segmentation tasks,...
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This power-point serves in assisting individuals in identifying the elements of Communication and ga...
Organisation & architecture of CPU
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