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A logic-based knowledge-driven bidirectional multi-attention GRU framework for fear level classification in humans.

Overview

Authors: Adlene Anusha Joshva1, Vinoth Kumar Balasubramanian2, M Murugappan3,4
  1. Department of Computer Science and Engineering, PSG College of Technology, Coimbatore, 641004 India
  2. Department of Information Technology, PSG College of Technology, Coimbatore, 641004 India
  3. Intelligent Signal Processing (ISP) Research Lab, Department of Electronics and Communication Engineering, Kuwait College of Science and Technology, Block 4, Doha, 13133 Kuwait
  4. Department of Electronics and Communication Engineering, Vels Institute of Sciences, Technology, and Advanced Studies, Chennai, Tamilnadu India
Journal: Scientific reports, volume 16, issue 1, article 13722
Dates: received 24 October 2025; accepted 10 March 2026; published online 14 March 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-44151-x · PMID 41832209 · PMCID PMC13125210
Status: data only
Categories: EEG (modality), human (organism), cognitive (subfield)
Methods: Statistics, Machine learning, Physiology & signal measures, Smoothing, state filtering, decompositions
Keywords: Logic based learning, Knowledge based approach, Inductive logic programming, Fear level classification, Computational biology and bioinformatics, Engineering, Mathematics and computing, Neuroscience
MeSH: Fear*, Deep Learning, Electroencephalography, Galvanic Skin Response, Humans, Logic, Long Short Term Memory, Neural Networks, Computer, Recurrent Neural Networks, Soft Computing (* major topic)
Citations: not cited yet (Europe PMC); 26 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Data

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Code and data availability statement

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Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 8 keywords, 10 MeSH terms, 16 references.

Cite

This paper

Joshva, A. A., Balasubramanian, V. K., & Murugappan, M. (2026). A logic-based knowledge-driven bidirectional multi-attention GRU framework for fear level classification in humans. Scientific reports, 16(1), 13722. https://doi.org/10.1038/s41598-026-44151-x

BibTeX

@article{joshva2026logic,
author = {Joshva, Adlene Anusha and Balasubramanian, Vinoth Kumar and Murugappan, M},
title = {{A logic-based knowledge-driven bidirectional multi-attention GRU framework for fear level classification in humans}},
journal = {Scientific reports},
year = {2026},
month = mar,
volume = {16},
number = {1},
pages = {13722},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-44151-x},
url = {https://doi.org/10.1038/s41598-026-44151-x},
pmid = {41832209},
pmcid = {PMC13125210}
}

RIS

TY - JOUR
AU - Joshva, Adlene Anusha
AU - Balasubramanian, Vinoth Kumar
AU - Murugappan, M
TI - A logic-based knowledge-driven bidirectional multi-attention GRU framework for fear level classification in humans
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/03/14
VL - 16
IS - 1
SP - 13722
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-44151-x
UR - https://doi.org/10.1038/s41598-026-44151-x
LA - en
ER -

CSL-JSON

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