MALARIA DETECTION USING MACHINE LEARNING / (Kayıt no. 290575)
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| 000 -BAŞLIK | |
|---|---|
| Sabit Uzunluktaki Kontrol Alanı | 02572nam a22002777a 4500 |
| 003 - KONTROL NUMARASI KİMLİĞİ | |
| Kontrol Alanı | KOHA |
| 005 - EN SON İŞLEM TARİHİ ve ZAMANI | |
| Kontrol Alanı | 20230713094136.0 |
| 008 - SABİT UZUNLUKTAKİ VERİ ÖGELERİ - GENEL BİLGİ | |
| Sabit Alan | 230713d2023 cy ||||| m||| 00| 0 eng d |
| 040 ## - KATALOGLAMA KAYNAĞI | |
| Özgün Kataloglama Kurumu | CY-NiCIU |
| Kataloglama Dili | eng |
| Çeviri Kurumu | CY-NiCIU |
| Açıklama Kuralları | rda |
| 041 ## - DİL KODU | |
| Metin ya da ses kaydının dil kodu | eng |
| 090 ## - Yerel Tasnif No | |
| tasnif no | YL 2897 |
| Cutter no | V25 2023 |
| 100 1# - KİŞİ ADI | |
| Yazar Adı (Kişi adı) | Vaki, Tafadzwanashe Blessings |
| 245 10 - ESER ADI BİLDİRİMİ | |
| Başlık | MALARIA DETECTION USING MACHINE LEARNING / |
| Sorumluluk Bildirimi | TAFADZWANASHE BLESSINGS VAKI; SUPERVISOR: ASST. PROF. DR. EMRE ÖZBİLGE |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2023 |
| 300 ## - FİZİKSEL TANIMLAMA | |
| Sayfa, Cilt vb. | ix, 54 sheets; |
| Boyutları | 31 cm. |
| Birlikteki Materyal | Includes CD |
| 336 ## - CONTENT TYPE | |
| Source | rdacontent |
| Content type term | text |
| Content type code | txt |
| 337 ## - MEDIA TYPE | |
| Source | rdamedia |
| Media type term | unmediated |
| Media type code | n |
| 338 ## - CARRIER TYPE | |
| Source | rdacarrier |
| Carrier type term | volume |
| Carrier type code | nc |
| 502 ## - TEZ NOTU | |
| Tez Notu | Thesis (MSc) - Cyprus International University. Institute of Graduate Studies and Research Computer Engineering Department |
| 504 ## - BİBLİYOGRAFİ NOTU | |
| Bibliyografi Notu | Includes bibliography (sheets 50-54) |
| 520 ## - ÖZET NOTU | |
| Özet notu | ABSTRACT<br/>Malaria is a very serious and sometimes a deadly sickness resulting from a parasite <br/>that is commonly found in female anopheles' mosquitos which feed on human beings. <br/>Humans that contract malaria are usually very sick with flu-like contamination, very <br/>high fevers, and shaking chills. The highest rates of malaria infections are found in <br/>African countries. This research was done to provide a cost effective machine learning <br/>method to perform malaria diagnosis in Africa especially in the rural areas. The <br/>research of this study was carried out using the following methodology. 27,558 images <br/>containing equals parts of infected and uninfected blood cells then were further divided <br/>into test, training and validation sets. The model was created using convolutional <br/>neural networks(CNN) which part of deep learning. Five layers of convolution were <br/>used with max pooling layers between the convolution layers. Binary crossentropy was <br/>used to calculate the loses. To evaluate the custom CNN model, the metrics measured <br/>were accuracy, f1 score, precision and recall. The results of the research showed that <br/>the proposed custom CNN model had 96.1% accuracy, an F1 score 0.96, precision <br/>score 0.968 and a recall score of 0.95. These results indicated a successful custom <br/>CNN implementation. The conclusions and future recommendations are also discussed <br/>in this research to further improve accuracy and help the fight against malaria in the <br/>rural areas of Africa.<br/>Keywords: CNN, Deep learning, Machine learning, Malaria |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ | |
| Konusal terim veya coğrafi ad | Malaria |
| Alt başlık biçimi | Dissertations, Academic |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ | |
| Konusal terim veya coğrafi ad | Machine learning |
| Alt başlık biçimi | Dissertations, Academic |
| 700 1# - EK GİRİŞ - KİŞİ ADI | |
| Yazar Adı (Kişi adı) | Özbilge, Emre |
| İlişkili Terim | supervisor |
| 942 ## - EK GİRİŞ ÖGELERİ (KOHA) | |
| Sınıflama Kaynağı | Dewey Onlu Sınıflama Sistemi |
| Materyal Türü | Thesis |
| Geri Çekilme Durumu | Kayıp Durumu | Sınıflandırma Kaynağı | Kredi için değil | Koleksiyon Kodu | Kalıcı Konum | Mevcut Konum | Raf Yeri | Kayıt Tarih | Source of acquisition | Yer Numarası | Demirbaş Numarası | Son Görülme Tarihi | Fatura Tarihi | Materyal Türü | Genel / Bağış Notu | Toplam Ödünçverme |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Onlu Sınıflama Sistemi | Tez Koleksiyonu | CIU LIBRARY | CIU LIBRARY | Tez Koleksiyonu | 13.07.2023 | Bağış | YL 2897 V25 2023 | T3255 | 13.07.2023 | 13.07.2023 | Thesis | Computer Engineering Department | ||||
| Dewey Onlu Sınıflama Sistemi | CIU LIBRARY | CIU LIBRARY | Görsel İşitsel | 13.07.2023 | Bağış | YL 2897 V25 2023 | CDT3255 | 13.07.2023 | 13.07.2023 | Suppl. CD | Computer Engineering Department |