Open AccessForest quality assessment based on bird sound recognition using convolutional neural networks
Author(s) -
Nazrul Effendy,
Didi Ruhyadi,
Rizky Pratama,
Dana Fatadilla Rabba,
Ananda Fathunnisa Aulia,
Anugrah Yuwan Atmadja
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i4.pp4235-4242
Subject(s) - computer science , microphone , convolutional neural network , deforestation (computer science) , workbench , quality (philosophy) , index (typography) , product (mathematics) , work (physics) , database , forestry , artificial intelligence , geography , world wide web , telecommunications , visualization , engineering , mathematics , mechanical engineering , philosophy , geometry , sound pressure , epistemology , programming language