Impact of Sliding Window Overlap Ratio on EEG-Based ASD Diagnosis Using Brain Hemisphere Energy and Machine Learning

Falih B., Sabir M., AYDIN A.

APPLIED SCIENCES-BASEL, cilt.14, sa.24, 2024 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 14 Sayı: 24
  • Basım Tarihi: 2024
  • Doi Numarası: 10.3390/app142411702
  • Dergi Adı: APPLIED SCIENCES-BASEL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Agricultural & Environmental Science Database, Applied Science & Technology Source, Communication Abstracts, INSPEC, Metadex, Directory of Open Access Journals, Civil Engineering Abstracts
  • Anahtar Kelimeler: autism spectrum disorder (ASD), EEG signal analysis, brain hemispheres, machine learning, sliding window technique, early diagnosis, neurodevelopmental disorders
  • Çukurova Üniversitesi Adresli: Evet