An Efficient Deep Learning Framework FPR Detecting and Classifying Depression Using Electroencephalogram Signals
- Title
- An Efficient Deep Learning Framework FPR Detecting and Classifying Depression Using Electroencephalogram Signals
- Description
- Lecture Notes in Networks and Systems Vol.647 LNNS pp.1179-1188
- Creator
- Aswathy S.U.; Vincent B.; Jacob P.M.; Aniyan N.; Daniel D.; Thomas J.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163295237&doi=10.1007%2f978-3-031-27409-1_108&partnerID=40&md5=cb46eaf136448ba367c406bff0a336a7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163295237&doi=10.1007%2f978-3-031-27409-1_108&partnerID=40&md5=cb46eaf136448ba367c406bff0a336a7</a>
- Date
- 2023-01-01
Collection
Citation
Aswathy S.U.; Vincent B.; Jacob P.M.; Aniyan N.; Daniel D.; Thomas J., “An Efficient Deep Learning Framework FPR Detecting and Classifying Depression Using Electroencephalogram Signals,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/10267.