Personal information

Activities

Employment (1)

Islamic Azad University Science and Research Branch: qazvin, qazvin, IR

2011-08-01 to 2017
Employment
Source: Self-asserted source
Fatemeh Serpush

Education and qualifications (1)

Qazvin Islamic Azad University: Qazvin, Qazvin, IR

2017-08-01 to present | Ph.D candidate (Faculty of Computer and Information Technology Engineering)
Education
Source: Self-asserted source
Fatemeh Serpush

Works (7)

Wearable Sensors-Based Human Activity Recognition with Deep Convolutional Neural Network and Fuzzy Classification

Wireless Personal Communications
2023-11 | Journal article
Part of ISSN: 0929-6212
Part of ISSN: 1572-834X
Contributors: Fatemeh Serpush; Mohammad Bagher Menhaj; Behrooz Masoumi; Babak Karasfi
Source: Self-asserted source
Fatemeh Serpush

Remote elderly healthcare: a robust deep learning approach for wearable sensors-based complex activities recognition

AUT Journal of Modeling and Simulation
2023-06 | Journal article
Contributors: Fatemeh Serpush; Mohammadreza Keyvanpour; Mohammad bagher Menhaj
Source: Self-asserted source
Fatemeh Serpush

Wearable Sensor-Based Human Activity Recognition in the Smart Healthcare System

Computational Intelligence and Neuroscience
2022-02-24 | Journal article
Contributors: Fatemeh Serpush; Mohammad Bagher Menhaj; Behrooz Masoumi; Babak Karasfi; Thippa Reddy G
Source: check_circle
Crossref
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Preferred source (of 2)‎

Complex Human Action Recognition Using a Hierarchical Feature Reduction and Deep Learning-Based Method

SN Computer Science
2021-04 | Journal article
Part of ISSN: 2662-995X
Part of ISSN: 2661-8907
Source: Self-asserted source
Fatemeh Serpush

Complex Human Action Recognition in Live Videos Using Hybrid FR-DL Method

SSRN
2020 | Other
EID:

2-s2.0-85110074660

Part of ISSN: 15565068
Contributors: Serpush, F.; Rezaei, M.
Source: Self-asserted source
Fatemeh Serpush via Scopus - Elsevier

Complex Human Action Recognition in Live Videos Using Hybrid FR-DL Method

arXiv
2020 | Other
EID:

2-s2.0-85095377579

Part of ISSN: 23318422
Contributors: Serpush, F.; Rezaei, M.
Source: Self-asserted source
Fatemeh Serpush via Scopus - Elsevier

ESLMT: a new clustering method for biomedical document retrieval

Biomedical Engineering / Biomedizinische Technik
2019-12-18 | Journal article
Part of ISSN: 1862-278X
Part of ISSN: 0013-5585
Source: Self-asserted source
Fatemeh Serpush
grade
Preferred source (of 2)‎

Peer review (73 reviews for 3 publications/grants)

Review activity for Medical & biological engineering & computing. (2)
Review activity for Multimedia tools and applications. (66)
Review activity for The journal of supercomputing. (5)