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| Published in: | International Journal of Image, Graphics and Signal Processing |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868552917908193281 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal of Image, Graphics and Signal Processing |
| description | |
| discipline_display | Image and Video Processing |
| discipline_facet | Image and Video Processing |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:68129 |
| institution | FRELIP |
| journal_source_facet | International Journal of Image, Graphics and Signal Processing |
| last_indexed | 2026-06-20T21:28:46.356Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | A Feature-Enhanced Hybrid CNN-BiLSTM Framework for Multi-Label Classification of Pathological High-Frequency Oscillations in Intracranial EEG Signals Image and Video Processing General Image and Video Processing |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Image and Video Processing General Image and Video Processing |
| subject_facet | Image and Video Processing General Image and Video Processing |
| title | A Feature-Enhanced Hybrid CNN-BiLSTM Framework for Multi-Label Classification of Pathological High-Frequency Oscillations in Intracranial EEG Signals |
| title_alt | Un marco híbrido CNN-BiLSTM mejorado con características para clasificación multietiqueta de oscilaciones de alta frecuencia patológicas en señales EEG intracraneales Un cadre hybride CNN-BiLSTM à caractéristiques améliorées pour la classification multi-étiquettes des oscillations haute fréquence pathologiques dans les signaux EEG intracrâniens Uma Estrutura Híbrida CNN-BiLSTM com Características Aprimoradas para Classificação Multirrótulo de Oscilações de Alta Frequência Patológicas em Sinais de EEG Intracraniano |
| title_auth | A Feature-Enhanced Hybrid CNN-BiLSTM Framework for Multi-Label Classification of Pathological High-Frequency Oscillations in Intracranial EEG Signals |
| title_es_txt | Un marco híbrido CNN-BiLSTM mejorado con características para clasificación multietiqueta de oscilaciones de alta frecuencia patológicas en señales EEG intracraneales |
| title_fr_txt | Un cadre hybride CNN-BiLSTM à caractéristiques améliorées pour la classification multi-étiquettes des oscillations haute fréquence pathologiques dans les signaux EEG intracrâniens |
| title_full | A Feature-Enhanced Hybrid CNN-BiLSTM Framework for Multi-Label Classification of Pathological High-Frequency Oscillations in Intracranial EEG Signals |
| title_fullStr | A Feature-Enhanced Hybrid CNN-BiLSTM Framework for Multi-Label Classification of Pathological High-Frequency Oscillations in Intracranial EEG Signals |
| title_full_unstemmed | A Feature-Enhanced Hybrid CNN-BiLSTM Framework for Multi-Label Classification of Pathological High-Frequency Oscillations in Intracranial EEG Signals |
| title_pt_txt | Uma Estrutura Híbrida CNN-BiLSTM com Características Aprimoradas para Classificação Multirrótulo de Oscilações de Alta Frequência Patológicas em Sinais de EEG Intracraniano |
| title_short | A Feature-Enhanced Hybrid CNN-BiLSTM Framework for Multi-Label Classification of Pathological High-Frequency Oscillations in Intracranial EEG Signals |
| title_sort | a feature-enhanced hybrid cnn-bilstm framework for multi-label classification of pathological high-frequency oscillations in intracranial eeg signals |
| topic | Image and Video Processing General Image and Video Processing |
| url | https://www.mecs-press.org/ijigsp/ijigsp-v18-n3/v18n3-1.html |