Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering

H Yu, C Yu, Z Wang, D Zou, H Qin - arXiv preprint arXiv:2408.04138, 2024 - arxiv.org
In recent years, the application of Large Language Models (LLMs) in healthcare has shown
significant promise in improving the accessibility and dissemination of medical knowledge …

Improving Construction Meeting Effectiveness: Trade-Offs between Reactive and Proactive Site-Level Planning Discussions

A Javanmardi, M Liu, C He, SM Hsiang… - … of Management in …, 2024 - ascelibrary.org
Despite the adage “hope for the best, plan for the worst,” site-level proactive plans produced
by construction planning meetings show planning for the best. Planning meetings comprise …

[HTML][HTML] Utilizing Large Language Models to Illustrate Constraints for Construction Planning

C He, B Yu, M Liu, L Guo, L Tian, J Huang - Buildings, 2024 - mdpi.com
Effective construction project planning relies on addressing constraints related to materials,
labor, equipment, and others. Planning meetings are typical venues for stakeholders to …

Construction of the tourist sentiment dictionary for hotels to mining tourist demands: Based on Macao's hotel reviews from Agoda. Smart Tourism. 2024; 5 (1): 2700

L Wang, X Zhu, H Zhang - 2024 - aber.apacsci.com
Tourist hotels (or tourist accommodations) are located near tourist attractions, primarily
serving tourists. In recent years, with the gradual improvement of people's living standards …

An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction

K Tong, Z Han, Y Shen, Y Long, Y Wei - arXiv preprint arXiv:2409.16676, 2024 - arxiv.org
Credit scoring is vital in the financial industry, assessing the risk of lending to credit card
applicants. Traditional credit scoring methods face challenges with large datasets and data …

Enhancing Transaction Fraud Detection with a Hybrid Machine Learning Model

X Zhao, Q Zhang, C Zhang - 2024 IEEE 4th International …, 2024 - ieeexplore.ieee.org
Transaction fraud detection is a critical issue in the financial industry, with fraudsters
constantly developing more sophisticated methods to bypass security measures. Traditional …

Application of Natural Language Processing in Network Security Log Analysis

J Wu, J Xiao - Journal of Computer Technology and Applied …, 2024 - suaspress.org
Abstract Natural Language Processing (NLP), specifically, has emerged as a vital weapon
against cybercrime, particularly for network log analysis. As network traffic grows ever more …

Transfer Learning for Cross-Language Natural Language Processing Models

J Xiao, J Wu - Journal of Computer Technology and Applied …, 2024 - suaspress.org
Cross-language natural language processing (NLP) presents numerous challenges due to
the wide array of linguistic structures and vocabulary found within each language. Transfer …

An Ensemble Approach to Stock Price Prediction Using Deep Learning and Time Series Models

M Sui, C Zhang, L Zhou, S Liao, C Wei - 2024 - preprints.org
The prediction of stock prices is a challenging task, particularly for retail investors who may
lack the resources and expertise to perform sophisticated quantitative trading. This study …

Quality Control of Bored Piles of Cross-river Bridges Pile Foundation Construction

L Sun, X Liu, J Xu, S Li, M Li, C Hu… - Proceedings of the …, 2024 - books.google.com
Punching pile is a commonly used construction technology for pile foundation of river-
crossing bridges, which has the advantages of small impact on the sur-rounding …