Fei Li

Communication model of embedded multi-protocol gateway for MRO online monitoring system

2015

Communication technologies, involving fieldbus network, Wireless Sensor Network (WSN) and industrial Ethernet, are mainly applied to complex industrial applications like continuous casting field, in order to transmit information. However, there're still some shortcomings exposed and …

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

2019 · arXiv (Cornell University)

Automated ICD coding, which assigns the International Classification of Disease codes to patient visits, has attracted much research attention since it can save time and labor for billing. The previous state-of-the-art model utilized one convolutional …

Modelling of a post-combustion CO<inf>2</inf> capture process using extreme learning machine

2016

This paper presents modelling of a post-combustion CO2capture process using bootstrap aggregated extreme learning machine. Extreme learning machine (ELM) randomly assigns the weights between input and hidden layers and obtains the weights between the hidden …

Deep neural model with self-training for scientific keyphrase extraction

2020 · PLoS ONE

Scientific information extraction is a crucial step for understanding scientific publications. In this paper, we focus on scientific keyphrase extraction, which aims to identify keyphrases from scientific articles and classify them into predefined categories. We …

Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification

2022 · arXiv (Cornell University)

Deep learning (DL) has made significant progress in angle closure classification with anterior segment optical coherence tomography (AS-OCT) images. These AS-OCT images are often acquired by different imaging devices/conditions, which results in a vast change …

Integrating with Segmentation by Using Multi-Task Learning Improves Classification Performance in Medical Image Analysis

2022

Diagnosis of tumors is an important direction of computer-aided diagnosis (CAD). The shape, size, and boundary of the tumor are widely-used diagnostic evidence, and the corresponding segmentation annotated by the radiologists is a vital expert …

Research and application of power transformer technical standard retrieval algorithm based on knowledge graph

2022

In view of the difficulty in using unstructured text data and the shallow application of equipment knowledge in the process of transformer equipment operation inspection by power supply companies, this paper proposes a knowledge map …

Investigating Inter-Correlations Using Graph-Based Neural Networks in Aspect-Level Sentiment Analysis

2023 · Preprints.org

In this paper, we present a groundbreaking methodology in the realm of aspect-level sentiment analysis, which capitalizes on the advanced capabilities of graph-based neural networks. Our approach, distinguished as the Aspect Correlation Graph Network (ACGN), …