Transformers in Time-Series Analysis: A Tutorial
Author:
Funder
National Science Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00034-023-02454-8.pdf
Reference111 articles.
1. A.F. Agarap, Deep learning using rectified linear units (relu) (2018). arXiv:1803.08375
2. S. Ahmed, D. Dera, S.U. Hassan, N. Bouaynaya, G. Rasool, Failure detection in deep neural networks for medical imaging. Front. Med. Technol. (2022). https://doi.org/10.3389/fmedt.2022.919046
3. S. Albawi, T.A. Mohammed, S. Al-Zawi. Understanding of a convolutional neural network. in 2017 International Conference on Engineering and Technology (ICET) (IEEE, 2017), pp. 1–6. https://doi.org/10.1109/ICEngTechnol.2017.8308186
4. A.A. Ariyo, A.O. Adewumi, C.K. Ayo, Stock price prediction using the arima model. in 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation (IEEE, 2014), pp. 106–112. https://doi.org/10.1109/UKSim.2014.67
5. K. ArunKumar, D.V. Kalaga, C.M.S. Kumar, M. Kawaji, T.M. Brenza, Forecasting of COVID-19 using deep layer recurrent neural networks (RNNs) with gated recurrent units (GRUs) and long short-term memory (LSTM) cells. Chaos Solitons Fractals 146, 110861 (2021). https://doi.org/10.1016/j.chaos.2021.110861
Cited by 135 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. In the beginning was the Word: LLM-VaR and LLM-ES;Expert Systems with Applications;2026-01
2. A CrossInformer model based on dual-layer decomposition and interpretability for short-term electricity load forecasting;Alexandria Engineering Journal;2025-10
3. Occupancy estimation using indoor air quality data: opportunities and privacy implications;Energy and Buildings;2025-09
4. Feature enhanced multistream RNN for growth phase prediction of Euglena sp. microalgae in an IoT-based outdoor cultivation environment;Smart Agricultural Technology;2025-08
5. DFF-Net: Dynamic feature fusion network for time series prediction;International Journal of Approximate Reasoning;2025-08
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1.7亿篇，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 © 2019-2025 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