An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
Abstract: The computation of matrix pseudoinverses is a recurrent requirement across various scientific computing and engineering domains. The prevailing models for matrix pseudoinverse typically ...
Abstract: The brain signal classification is the basis for the implementation of brain–computer interfaces (BCIs). However, most existing brain signal classification methods are based on signal ...
Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
This repository contains an efficient implementation of Kolmogorov-Arnold Network (KAN). The original implementation of KAN is available here. The problem is in the sparsification which is claimed to ...
This repository contains the code release for CDN4: A cross-view Deep Nearest Neighbor Neural Network for fine-grained few-shot classification - ScienceDirect. (Accepted in PR) Abstract: The ...
A network dedicated to early phase trials of treatments for children with brain cancer will be phased out. By Nina Agrawal A respected network of hospitals and cancer centers is halting enrollment in ...
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