Stacked Ensemble Model for Tropical Cyclone Path Prediction

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
6
Authors
Sattar, Kalim; Zahra, Syeda Zoupash; Faheem, Muhammad; Missen, Malik Muhammad Saad; Bashir, Rab Nawaz; Abbas, Muhammad Zahid

Publication channel information

Title of journal/series
IEEE access
ISSN (electronic)
2169-3536
ISSN (linking)
2169-3536
Publisher
IEEE
Publication forum ID
78297
Publication forum level
1
Publication appears in FT-list
No
Country of publication
United States
Internationality
Yes

Detailed publication information

Publication year
2023
Reporting year
2023
Journal/series volume number
11
Page numbers
69512-69521
DOI
10.1109/access.2023.3292907
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Link to self-archived version
https://urn.fi/URN:NBN:fi-fe202403049804

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences, 213 Electronic, automation and communications engineering, electronics
Keywords
Tropical cyclone; path prediction; stacked RNN; stacked ensemble

Funding information

Funding information in the publication
The work of Muhammad Faheem was supported in part by the University of Vaasa, and in part by the Academy of Finland.

Source database ID

WoS ID
WOS:001030583100001
Scopus ID
Scopus:85164427050