Human activity recognition using WISDM: exploring class balancing and ML techniques

Hanif, M, Ahmad, R, Qazi, S, Ahmed, W, Kiani, A ORCID logoORCID: https://orcid.org/0000-0003-3911-4163 and Alam, MM, 2025. Human activity recognition using WISDM: exploring class balancing and ML techniques. In: Gooroochurn, M, Mungur, A, Fowdur, TP, Ah King, RTF and Hurbungs, V, eds., Proceedings of the 2024 5th IEEE International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM). IEEE. ISBN 9798331532475

Full text not available from this repository.
Item Type: Chapter in book
Description: Paper presented at 2024 5th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM), Balaclava, Mauritius, 20-22 November 2024.
Creators: Hanif, M., Ahmad, R., Qazi, S., Ahmed, W., Kiani, A. and Alam, M.M.
Publisher: IEEE
Date: 25 February 2025
ISBN: 9798331532475
Identifiers:
Number
Type
10.1109/elecom63163.2024.10892156
DOI
2470265
Other
Divisions: Schools > School of Science and Technology
Record created by: Laura Borcherds
Date Added: 23 Sep 2025 08:22
Last Modified: 23 Sep 2025 08:22
URI: https://irep.ntu.ac.uk/id/eprint/54391

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