Development of an electronic intelligent screening system for malaria parasite.

Penyelidikan ini mencadangkan pengaplikasian rangkaian neural buatan untuk mengkelas parasit malaria kepada tiga jenis iaitu Plasmodium falciparum, Plasmodium vivax dan Plasmodiummalariae. This research proposes an application of artificial neural networks to classify the malaria parasite into th...

Full description

Bibliographic Details
Main Authors: Ngah, Umi Kalthum, Mat Isa, Nor Ashidi, Mohamed, Zeehaida, Zamli, Kamal Zuhairi, Abu Seman, Noorhidayati
Format: Monograph
Published: Universiti Sains Malaysia 2008
Subjects:
Online Access:http://eprints.usm.my/10226/
_version_ 1848870921807331328
author Ngah, Umi Kalthum
Mat Isa, Nor Ashidi
Mohamed, Zeehaida
Zamli, Kamal Zuhairi
Abu Seman, Noorhidayati
author_facet Ngah, Umi Kalthum
Mat Isa, Nor Ashidi
Mohamed, Zeehaida
Zamli, Kamal Zuhairi
Abu Seman, Noorhidayati
author_sort Ngah, Umi Kalthum
building USM Institutional Repository
collection Online Access
description Penyelidikan ini mencadangkan pengaplikasian rangkaian neural buatan untuk mengkelas parasit malaria kepada tiga jenis iaitu Plasmodium falciparum, Plasmodium vivax dan Plasmodiummalariae. This research proposes an application of artificial neural networks to classify the malaria parasite into three species, namely Plasmodium faIciparum, Plasmodium vivax and Plasmodium malariae.
first_indexed 2025-11-15T15:31:52Z
format Monograph
id usm-10226
institution Universiti Sains Malaysia
institution_category Local University
last_indexed 2025-11-15T15:31:52Z
publishDate 2008
publisher Universiti Sains Malaysia
recordtype eprints
repository_type Digital Repository
spelling usm-102262022-08-08T01:07:39Z http://eprints.usm.my/10226/ Development of an electronic intelligent screening system for malaria parasite. Ngah, Umi Kalthum Mat Isa, Nor Ashidi Mohamed, Zeehaida Zamli, Kamal Zuhairi Abu Seman, Noorhidayati TK1-9971 Electrical engineering. Electronics. Nuclear engineering Penyelidikan ini mencadangkan pengaplikasian rangkaian neural buatan untuk mengkelas parasit malaria kepada tiga jenis iaitu Plasmodium falciparum, Plasmodium vivax dan Plasmodiummalariae. This research proposes an application of artificial neural networks to classify the malaria parasite into three species, namely Plasmodium faIciparum, Plasmodium vivax and Plasmodium malariae. Universiti Sains Malaysia 2008 Monograph NonPeerReviewed Ngah, Umi Kalthum and Mat Isa, Nor Ashidi and Mohamed, Zeehaida and Zamli, Kamal Zuhairi and Abu Seman, Noorhidayati (2008) Development of an electronic intelligent screening system for malaria parasite. Project Report. Universiti Sains Malaysia.
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Ngah, Umi Kalthum
Mat Isa, Nor Ashidi
Mohamed, Zeehaida
Zamli, Kamal Zuhairi
Abu Seman, Noorhidayati
Development of an electronic intelligent screening system for malaria parasite.
title Development of an electronic intelligent screening system for malaria parasite.
title_full Development of an electronic intelligent screening system for malaria parasite.
title_fullStr Development of an electronic intelligent screening system for malaria parasite.
title_full_unstemmed Development of an electronic intelligent screening system for malaria parasite.
title_short Development of an electronic intelligent screening system for malaria parasite.
title_sort development of an electronic intelligent screening system for malaria parasite.
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
url http://eprints.usm.my/10226/