Dynamic noise filtering for multi-class classification of beehive audio data-Reference-Cited by-同舟云学术

Dynamic noise filtering for multi-class classification of beehive audio data

Published:2023-03 Issue: Volume:213 Page:118850
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Várkonyi Dániel Tamás^ORCID,Seixas José Luis^ORCID,Horváth Tomáš^ORCID

Funder

Nemzeti Kutatasi Fejlesztesi es Innovacios Hivatal

Nemzeti Kutatási, Fejlesztési és Innovaciós Alap

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference69 articles.

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5. The usefulness of imperfect speech data for ASR development in low-resource languages;Badenhorst;Information,2019

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2. Detecting Drones at an Entrance to a Beehive Based on Audio Signals and Autoencoder Neural Networks;2023 Signal Processing Symposium (SPSympo);2023-09-26

3. Visualizations for universal deep-feature representations: survey and taxonomy;Knowledge and Information Systems;2023-09-16

4. Toward Bee Behavioral Pattern Recognition on Hive Entrance using YOLOv8;2023 IEEE 10th Jubilee Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE);2023-04-27