LatentResNet: An Optimized Underwater Fish Classification Model with a Low Computational Cost

Hariri M., Avsar E., Aydın A.

JOURNAL OF MARINE SCIENCE AND ENGINEERING, cilt.13, sa.6, 2025 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 13 Sayı: 6
  • Basım Tarihi: 2025
  • Doi Numarası: 10.3390/jmse13061019
  • Dergi Adı: JOURNAL OF MARINE SCIENCE AND ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, INSPEC, Metadex, Veterinary Science Database, Directory of Open Access Journals, Civil Engineering Abstracts
  • Anahtar Kelimeler: lightweight neural networks, deep learning, underwater image classification, computational efficiency, autoencoder, real-time processing, fish species detection
  • Çukurova Üniversitesi Adresli: Evet