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IoT Technology Enabled Heuristic Model with Morlet wavelet neural network for numerical treatment of Heterogeneous Mosquito Release Ecosystem

The utmost advancements of artificial neural networks (ANNs), software-defined networks (SDNs) and internet of things (IoT) technologies find beneficial in different applications of the smart healthcare sector. Aiming at modern technology's use in the future development of healthcare, this pape...

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書誌詳細
主要な著者:	Zulqurnain Sabir, Kashif Nisar, Muhammad Asif Zahoor Raja, Muhammad Reazul Haque, Muhammad Umar, Ag. Asri Ag. Ibrahim, Le, Dac-Nhuong
フォーマット:	論文
言語:	English English
出版事項:	Institute of Electrical and Electronics Engineers (IEEE) 2021
主題:	QA71-90 Instruments and machines
オンライン･アクセス:	https://eprints.ums.edu.my/id/eprint/33083/3/IoT%20Technology%20Enabled%20Heuristic%20Model%20with%20Morlet%20wavelet%20neural%20network%20for%20numerical%20treatment%20of%20Heterogeneous%20Mosquito%20Release%20Ecosystem%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/33083/5/IoT%20Technology%20Enabled%20Heuristic%20Model%20with%20Morlet%20wavelet%20neural%20network%20for%20numerical%20treatment%20of%20Heterogeneous%20Mosquito%20Release%20Ecosystem.pdf https://eprints.ums.edu.my/id/eprint/33083/ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9541162 https://doi.org/10.1109/ACCESS.2021.3113986
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