Classification Of Aedes Mosquito Larva Using Convolutional Neural Networks And Extreme Learning Machine-Reference-Cited by-同舟云学术

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Classification Of Aedes Mosquito Larva Using Convolutional Neural Networks And Extreme Learning Machine

Published:2023-12-13 Issue: Volume: Page:79-83
ISSN:
Container-title:2023 7th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)
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Author:

Nainggolan Pauzi Ibrahim¹,Efendi Syahril¹,Budiman Mohammad Andri¹,Lydia Maya Silvi¹,Joshua Ivan²,Bukit Dhani Syahputra³,Rahmat Romi Fadillah²,Sinaga Ledy Afrida⁴,Subroto Edi⁵

Affiliation:

1. Universitas Sumatera Utara,Department of Computer Science,Medan,Indonesia,20155

2. Universitas Sumatera Utara,Department of Information Technology,Medan,Indonesia,20155

3. Universitas Sumatera Utara,Department of Public Health,Medan,Indonesia,20155

4. Environmental health and diseases control Ministry of Health,Medan,Indonesia,20153

5. STIKes Mitra Husada Medan Sumatera Utara,Department of midwifery study program,Indonesia,20142

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10443090/10443079/10443125.pdf?arnumber=10443125

Reference12 articles.

1. Aedes Larvae Classification and Detection (ALCD) System by Using Deep Learning

2. Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions

3. Classification of Primary and Secondary Brain Tumor Using Extreme Learning Machine

4. Convolutional Neural Network Features Comparison Between Back-Propagation and Extreme Learning Machine

5. Convolutional Neural Network Based on Extreme Learning Machine for Maritime Ships Recognition in Infrared Images

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