Aedes Aegypti Egg Classification Model Using Support Vector Machine-Reference-Cited by-同舟云学术

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Aedes Aegypti Egg Classification Model Using Support Vector Machine

Published:2023-01-10 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Computer Research and Development (ICCRD)
language:
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Author:

Gumiran Cherry R.¹,Fajardo Arnel C.²,Medina Ruji P.³,Dao Minh S.⁴,Gumiran Joel M.²

Affiliation:

1. Graduate Program Technological Institue of the Philippines Quezon City, Philippines,Philippines

2. Isabela State University Cauayan College of Computing Studies, Information and Communications Technology,Philippines

3. Graduate Prgram Technological Institue of the Philippines Quezon City, Philipines,Philippines

4. National Institute of Information and Communications Technology,Big Data Integration Research Center,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10079927/10079938/10080822.pdf?arnumber=10080822

Reference16 articles.

1. Mosquito surveillance and disease outbreak risk models to inform mosquito-control operations in Europe

2. Rapid Surveillance for Vector Presence (RSVP): Development of a novel system for detecting Aedes aegypti and Aedes albopictus

3. Morphological feature extraction for detail maintained image enhancement by using two types of alternating filters and threshold constrained strategy

4. Review of machine learning techniques for mosquito control in urban environments

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