يعرض 1 - 10 نتائج من 57 نتيجة بحث عن '"Bird sound classification"', وقت الاستعلام: 0.86s تنقيح النتائج
  1. 1
    مؤتمر
    BAT-CNN: BirdNet Assisted Training for CNN

    المؤلفون: S, Salini, K, Suresh

    المصدر: 2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI) Advancements in Power, Communication and Intelligent Systems (APCI), 2024 International Conference on. :1-5 Jun, 2024

    Relation: 2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI)

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  2. 2
    مؤتمر
    Improved Bird Sound Classification Based on Deep Cascade Feature

    المؤلفون: Xie, Jie, Hu, Kai, Zhu, Mingying

    المصدر: 2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN) Information, Communication and Networks (ICICN), 2022 IEEE 10th International Conference on. :401-405 Aug, 2022

    Relation: 2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN)

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  3. 3
    كتاب إلكتروني
    Harmonizing Nature: Bird Species Classification Through Machine Learning-Based Vocal Analysis

    المؤلفون: Shah, HimanshuAff12, Borole, TejasviAff12, Dhagude, AmrutaAff12, Sable, Nilesh P.Aff13

    المساهمون: Kacprzyk, Janusz, Series EditorAff1, Gomide, Fernando, Advisory EditorAff2, Kaynak, Okyay, Advisory EditorAff3, Liu, Derong, Advisory EditorAff4, Pedrycz, Witold, Advisory EditorAff5, Polycarpou, Marios M., Advisory EditorAff6, Rudas, Imre J., Advisory EditorAff7, Wang, Jun, Advisory EditorAff8, Senjyu, Tomonobu, editorAff9, So–In, Chakchai, editorAff10, Joshi, Amit, editorAff11

    المصدر: Smart Trends in Computing and Communications : Proceedings of SmartCom 2024, Volume 3. 947:495-515

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  4. 4
    مؤتمر
    An approach of algorithmic clustering based on string compression to identify bird songs species in xeno-canto database

    المؤلفون: Sarasa, Guillermo, Granados, Ana, Rodriguez, Francisco B.

    المصدر: 2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Frontiers of Signal Processing (ICFSP), 2017 3rd International Conference on. :101-104 Sep, 2017

    Relation: 2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)

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  5. 5
    دورية أكاديمية
    Investigation of Different CNN-Based Models for Improved Bird Sound Classification

    المؤلفون: Xie, J., Hu, K., Zhu, M., Yu, J., Zhu, Q.

    المصدر: IEEE Access Access, IEEE. 7:175353-175361 2019

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  6. 6
    مؤتمر
    Survey study on the methods of bird vocalization classification

    المؤلفون: Rassak, S., Nachamai, M., Krishna, M.A.

    المصدر: 2016 IEEE International Conference on Current Trends in Advanced Computing (ICCTAC) Current Trends in Advanced Computing (ICCTAC), IEEE International Conference on. :1-8 Mar, 2016

    Relation: 2016 IEEE International Conference on Current Trends in Advanced Computing (ICCTAC)

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  7. 7
    دورية أكاديمية
    Classification of bird sounds as an early warning method of forest fires using Convolutional Neural Network (CNN) algorithm

    المؤلفون: Silvester Dian Handy Permana, Gusti Saputra, Budi Arifitama, Yaddarabullah, Wahyu Caesarendra, Robbi Rahim

    المصدر: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 7, Pp 4345-4357 (2022)

    مصطلحات موضوعية: Bird sound classification, CNN, Deep learning, Forest fires early warning system, Electronic computers. Computer science, QA75.5-76.95

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S1319157821000999; https://doaj.org/toc/1319-1578

    URL الوصول: https://doaj.org/article/a483aa8b688a437da4ceedcde93d72e5

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  8. 8
    دورية أكاديمية
    LBP-based bird sound classification using improved feature selection algorithm

    المؤلفون: Ji, Xunsheng, Jiang, Kun, Xie, JieAff1, Aff2, Aff3

    المصدر: International Journal of Speech Technology. 24(4):1033-1045

    Find this article in full text from Springer Verlag. Full Text Finder
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  9. 9
    دورية أكاديمية

    لا يتم عرض هذه النتيجة على الضيوف.

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  10. 10
    كتاب إلكتروني
    Learning Higher Representations from Bioacoustics: A Sequence-to-Sequence Deep Learning Approach for Bird Sound Classification

    المؤلفون: Qiao, YuAff11, Qian, KunAff12, Zhao, ZipingAff11

    المساهمون: Filipe, Joaquim, Editorial Board MemberAff1, Ghosh, Ashish, Editorial Board MemberAff2, Prates, Raquel Oliveira, Editorial Board MemberAff3, Zhou, Lizhu, Editorial Board MemberAff4, Yang, Haiqin, editorAff5, Pasupa, Kitsuchart, editorAff6, Leung, Andrew Chi-Sing, editorAff7, Kwok, James T., editorAff8, Chan, Jonathan H., editorAff9, King, Irwin, editorAff10

    المصدر: Neural Information Processing : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V. 1333:130-138

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