%0 Generic %1 https://doi.org/10.48550/arxiv.2209.01374 %A Quaderi, Shah Jafor Sadeek %A Labonno, Sadia Afrin %A Mostafa, Sadia %A Akhter, Shamim %D 2022 %I arXiv %K (cs.LG), (cs.SD), (eess.AS), Audio Computer Electrical FOS: Learning Machine Processing Sound Speech and electronic engineering engineering, information sciences, we4bee we4bee_audio, %R 10.48550/ARXIV.2209.01374 %T Identify The Beehive Sound Using Deep Learning %U https://arxiv.org/abs/2209.01374

@misc{https://doi.org/10.48550/arxiv.2209.01374, added-at = {2023-03-05T10:30:55.000+0100}, author = {Quaderi, Shah Jafor Sadeek and Labonno, Sadia Afrin and Mostafa, Sadia and Akhter, Shamim}, biburl = {https://www.bibsonomy.org/bibtex/2bef809c8af898d63bfb3bf804b94b04e/jascal_panetzky}, copyright = {Creative Commons Attribution 4.0 International}, doi = {10.48550/ARXIV.2209.01374}, interhash = {81d349487d77d31a2994fc7d89df4be6}, intrahash = {bef809c8af898d63bfb3bf804b94b04e}, keywords = {(cs.LG), (cs.SD), (eess.AS), Audio Computer Electrical FOS: Learning Machine Processing Sound Speech and electronic engineering engineering, information sciences, we4bee we4bee_audio,}, publisher = {arXiv}, timestamp = {2023-03-05T10:38:08.000+0100}, title = {Identify The Beehive Sound Using Deep Learning}, url = {https://arxiv.org/abs/2209.01374}, year = 2022 }