Recent text-based research and applications in railways: A critical review and future trends-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Recent text-based research and applications in railways: A critical review and future trends

Published:2022-11 Issue: Volume:116 Page:105435
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Dong Kaitai,Romanov Igor,McLellan Colin,Esen Ahmet F.^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference134 articles.

1. On the relationship between similar requirements and similar software: A case study in the railway domain;Abbas;Requir. Eng.,2022

2. Railway Complaint Tweets Identification, in Advances in Intelligent Systems and Computing;Akhtar,2021

3. Conferences under scrutiny;Al-Fedaghi;Commun. ACM,2007

4. Machine learning and deep learning algorithms on the Industrial Internet of Things (IIoT);Ambika;Adv. Comput.,2020

5. Glossary of rail transport terms, wikipedia;Anon,2021

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intelligent mining methodology of product field failure data by fusing deep learning and association rules for after-sales service text;Engineering Applications of Artificial Intelligence;2024-07

2. A data-driven conceptual framework for understanding the nature of hazards in railway accidents;Transport Policy;2024-06

3. Deep learning-based chatbot by natural language processing for supportive risk management in river dredging projects;Engineering Applications of Artificial Intelligence;2024-05

4. Railroad safety: A systematic analysis of Twitter data;Case Studies on Transport Policy;2024-03

5. Horizoning recent trends in the security of smart cities: Exploratory analysis using latent semantic analysis;Journal of Intelligent & Fuzzy Systems;2024-01-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3