Mosquito Type Identification using Convolution Neural Network-Reference-Cited by-同舟云学术

Mosquito Type Identification using Convolution Neural Network

Published:2022-10-20 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

Kumar V Senthil¹,Prasad Veduri Veera²,Kunaisa Khallik³,Swain Mahendra Pratap⁴,Anandaram Harishchander⁵,Kumar Ashok⁶

Affiliation:

1. Malla Reddy institute of technology and Science,Department of Computer Science and Engineering,Secunderabad,>Telangana,India,500100

2. Aditya College of Engineering,Department of Computer Science and Engineering,Surampalem,Andhra Pradesh,India

3. HKBK College of Engineering,Department of Computer Science and Engineering,Bengaluru,Karnataka,India,560045

4. Department of Pharmaceutical Sciences and Technology,Mesra,Ranchi, Jharkhand,India,835215

5. Amrita Vishwa Vidyapeetham,Centre for Excellence in Computational Engineering and Networking,Coimbatore,Tamil Nadu,India,641112

6. Banasthali Vidyapith,Department of Computer Science,Banasthali,Rajasthan,India,304022

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9951706/9951861/09951979.pdf?arnumber=9951979

Reference15 articles.

1. Identification of Deadliest Mosquitoes Using Wing Beats Sound Classification on Tiny Embedded System Using Machine Learning and Edge Impulse Platform;rivedi;2021 ITU Kaleidoscope Connecting Physical and Virtual Worlds (ITU K),2021

2. Mosquito larva classification method based on convolutional neural networks

3. A novel image importance model for content-aware image resizing

4. Learning Adjustable Image Rescaling with Joint Optimization of Perception and Distortion

5. Detection and classification of lung abnormalities by use of convolutional neural network (CNN) and regions with CNN features (R-CNN)

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