Abstract: Logistic-energy coordination is an effective way to improve energy efficiency for electrified seaports. However, exiting works adopt fixed logistic power load models and seldom address ...
This repository contains the code and data for the experiments in the paper "Discovering network dynamics with neural symbolic regression", published in Nature Computational Science (2025). Abstract: ...
Abstract: This brief presents an edge-AIoT speech recognition system, which is based on a new spiking feature extraction (SFE) method and a PoolFormer (PF) neural network optimized for implementation ...
A complete end-to-end machine learning web application that detects whether a news article is fake or real using Natural Language Processing (NLP) and Logistic Regression.
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