Feature selection using fossa optimisation algorithm for detection of epilepsy from EEG signal

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Publication Details

Journal
International Journal of Computational Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1504/ijcse.2025.10074012
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Feature selection using fossa optimisation algorithm for detection of epilepsy from EEG signal

Himansu Das, Hrishikesh Kumar, Pratiti Mishra
International Journal of Computational Science and Engineering
EEG and Brain-Computer Interfaces
article

Feature selection using fossa optimisation algorithm for detection of epilepsy from EEG signal

Himansu Das, Hrishikesh Kumar, Pratiti Mishra
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Computational Science and EngineeringVol. 1(1)
Openalex Percentile: Top 72%
EEG and Brain-Computer Interfaces
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Feature selection using fossa optimisation algorithm for detection of epilepsy from EEG signal — Himansu Das, Hrishikesh Kumar, et al. · International Journal of Computational Science and Engineering (2025) | TGRS Research Map | TGRS