Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Dangli Wang"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 11, p 1231 (2021)
Accurate vessel traffic flow prediction is significant for maritime traffic guidance and control. According to the characteristics of vessel traffic flow data, a new hybrid model, named DWT–Prophet, is proposed based on the discrete wavelet decompo
Externí odkaz:
https://doaj.org/article/88e7be3ae24241a5a8fa4775afed3482
Autor:
Xinying YANG, Dangli WANG
Publikováno v:
ICTIS 2013; 2013, p2201-2206, 6p
Autor:
Dangli Wang, Die Wang
Publikováno v:
ICTIS 2013.
Paying attention to the growing overall carbon emissions of the waterway transportation industry, a systematical and scientific carbon emission evaluation system for inland vessels was built. Applying AHP to determine and sort the weight of each inde
Publikováno v:
Proceedings of the International Offshore & Polar Engineering Conference; 2016, p707-714, 8p
Autor:
Gao, Yibo
Publikováno v:
IOP Conference Series: Earth & Environmental Science; 2/4/2021, Vol. 634, p1-4, 4p
Autor:
Wu, Yuzhe
Publikováno v:
IOP Conference Series: Earth & Environmental Science; 2/4/2021, Vol. 634, p1-4, 4p
Autor:
Hu, Zhaoyang, Wang, Yufeng, Fang, Zhigang, Shi, Gaoling, Lou, Laiqing, Ren, Kaidi, Cai, Qingsheng
Publikováno v:
Journal of Soils & Sediments: Protection, Risk Assessment, & Remediation; Feb2020, Vol. 20 Issue 2, p874-882, 9p
Publikováno v:
Molecular & Cellular Biochemistry; Jan2012, Vol. 359 Issue 1/2, p183-191, 9p
Publikováno v:
Journal of Marine Science & Engineering; Nov2021, Vol. 9 Issue 11, p1231-1231, 1p
Autor:
Amina Adadi, Afaf Bouhoute
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of a