Automated detection of gibbon calls from passive acoustic monitoring data using convolutional neural networks in the "torch for R" ecosystem

Documenti analoghi

• Automated Detection of Gibbon Calls From Passive Acoustic Monitoring Data Using Convolutional Neural Networks in the “Torch for R” Ecosystem
  di: Dena J. Clink, et al.
  Pubblicazione: (2025)
• Dataset for: Automated detection of gibbon calls from passive acoustic monitoring data using convolutional neural networks in the "torch for R" ecosystem.
  di: Clink, Dena
  Pubblicazione: (2024)
• The power of gibbon songs: Going beyond the research to inform conservation actions
  di: Susan M. Cheyne, et al.
  Pubblicazione: (2024)
• Acoustic indices are not useful for biodiversity research
  di: Larissa S. M. Sugai, et al.
  Pubblicazione: (2026)
• From Specialist to Generalist: Unlocking SAM's Learning Potential on Unlabeled Medical Images
  di: Vu, Vi, et al.
  Pubblicazione: (2026)