Detecting Logging of Forest Trees Using Sound Event Detection-Reference-Cited by-同舟云学术

Detecting Logging of Forest Trees Using Sound Event Detection

Published:2023 Issue: Volume: Page:213-225
ISSN:2195-3988
Container-title:Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing
language:
Short-container-title:

Author:

Mohmmad Sallauddin,Sanampudi Suresh Kumar

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-2746-3_23

Reference24 articles.

1. Harvanová V, Vojtko M, Babis M, Duríek M, Pohronská M (2011) Detection of wood logging based on sound recognition using zigbee sensor network. In: Proceedings of the international conference on design and architectures for signal and image processing, Tampere, Finland, vol 24

2. Chethan KP, Srinivasan J, Kriti K, Sivaji K (2012) Sustainable forest management techniques. In: Deforestation around the world, 2012

3. Tacconi L, Boscolo M, Brack D (2003) National and international policies to control illegal forest activities. Royal Institute of International Affairs

4. Hoare A (2014) Energy, environment and resources. In: Illegal logging and related trade—the response in Ghana: A Chatham House Assessment, 2014

5. Brack D, Hayman G (2001) Intergovernmental actions on illegal logging, options for intergovernmental action to help combat illegal logging and illegal trade in timber and forest products. The Royal Institute of International Affairs

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Acoustic Based Bird Species Classification Using Deep Learning;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

2. An Optimised Model to Forecast the Water Portability Using the Restricted Boltzmann Machine and Neural Network;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

3. Detection of Wild Animals using their sound for identification and conservation in the forest by implementing deep learning;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14