Duration and Vehicle Utilization Forecasting for Car Sharing
Research Project - Collaboration with Co-Well
Research Project - Collaboration with Co-Well
Keywords: Supply Chain, LLMs, AI, Risk model
2021 4th IEEE International Symposium on Traffic Transportation and Civil Architecture (IEEE ISTTCA), 2021
This article is an evaluation study of the railway industry in China.
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Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022), 2022
This paper evaluates the level of digital economy in Shanghai based on Entropy-Weighting TOPSIS.
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Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023), 2023
This article provides clustering and textual sentiment analysis (based on SVM) of student e-sports groups in Anhui province.
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Published:
In this study, the development level of China’s railway industry is judged based on Gomboz curve. Coupled coordination model is used to analyze the coordination level of railway industry development in China in recent years.
Published:
This study is based on the survey results of college students’ e-sports groups in Anhui province. The text sentiment analysis is based on SVM algorithm.
MATLAB-based, Dynamic Network, 2023
This MATLAB code generates and analyzes a growing network graph. The main functionalities include:
Python-based, Nonlinear Dynamic Systems, 2023
This Python code utilizes the sympy library to perform symbolic computations related to a given dynamic system described by two equations.
R-based, Dynamic network game, 2024
DynamicNetSim
is an R package designed for simulating dynamic networks and game-theoretic interactions. This package provides a set of tools that facilitate the creation, manipulation, and visualization of dynamic networks, as well as the simulation of game-theoretic scenarios within these networks.
R-based, Google News Crawling, 2024
NewsScraper
is an R package designed to scrape news articles for specified companies within a given date range and save the results to an Excel file. This package is particularly useful for researchers and analysts who need to gather and analyze news data related to specific companies and topics.
train.exe
) User Guide Python-based, Get news, 2024
This project introduces a Python-based news scraper tool that leverages PyQt5 for the graphical user interface (GUI) and utilizes Selenium and BeautifulSoup for scraping financial news from websites such as Yahoo Finance.
Python/R-based, Event study, 2024
These tools are designed to solve the problem of calculating and testing for event study
Python-based, Sentiment Analysis based on large model, 2024
This tool is designed to solve the problem of sentiment classification and prediction using advanced transformer-based models.