Image classification of Aedes mosquitoes using transfer learning / Zetty Ilham Abdullah
The first and most important step in controlling the deadly air-borne diseases like dengue, chikungunya, Zika, and yellow fever is to track the spread of disease-carrying mosquitos. In recent years, the importance, and uses of computer vision, notably image classification, to tackle real-world issue...
Saved in:
Main Author: | Abdullah, Zetty Ilham |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/59335/2/59335.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bird species classification based on image using Convolutional Neural Network / Adam Izzat Azmi
by: Azmi, Adam Izzat
Published: (2024) -
Daisy species classification based on image using Convolutional Neural Network algorithm / Haris Hidayatullah Khaimuza
by: Khaimuza, Haris Hidayatullah
Published: (2024) -
Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
by: Lukman, Nur Ashyda
Published: (2019) -
Detection of leak size and its location in a water distribution system by using K-NN / Nasereddin Ibrahim Sherksi
by: Sherksi, Nasereddin Ibrahim
Published: (2020) -
Evaluation of optimal MLP structure for heart disease diagnosis / Salbiah Ab Hamid
by: Ab Hamid, Salbiah
Published: (2010)