Browsing Books by Author "Kanafiah, Siti Nurul Aqmariah Mohd"

Now showing items 1-7 of 7

    • Classification of Plasmodium Skizon and Gametocytes Malaria Images Using Deep Learning 

      Jusman, Yessi; Firdiantika, Indah Monisa; Riyadi, Slamet; Kanafiah, Siti Nurul Aqmariah Mohd; Hassan, Rosline; Mohamed, Zeehaida (International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2021)
      Identification analysis of the malaria parasite cell infection, there is a possibility of human error factor done by paramedics because of the number of samples that must be analyzed. This case is because the human eye ...

    • Comparison between Support Vector Machine and K-Nearest Neighbor Algorithms for Leukemia Images Classification using Shape Features 

      Jusman, Yessi; Hasanah, Aisyah Nur; Purwanto, Kunnu; Kanafiah, Siti Nurul Aqmariah Mohd; Riyadi, Slamet; Hassan, Rosline; Mohamed, Zeehaida (International Computer Science and Engineering Conference (ICSEC), 2021)
      Leukemia occurs when the body produces abnormal white blood cells in amounts exceeding the normal limit, making them misfunctioning. It is highly influential on the human immune system. Currently, medical personnel require ...

    • Comparison of Dental Caries Level Images Classification Performance using KNN and SVM Methods 

      Jusman, Yessi; Anam, Muhammad Khoirul; Puspita, Sartika; Saleh, Edwyn; Kanafiah, Siti Nurul Aqmariah Mohd; Tamarena, Rhesezia Intan (IEEE, 2021)
      This study aims to build a dental caries level classification system based on image processing (i.e. to extract texture features) and machine learning methods. The first step was to analyze and discover the extraction ...

    • Comparison of Spine Curvature Images Classification using Support Vector Machine and K-Nearest Neighbors 

      Jusman, Yessi; Lubis, Julnila Husna; Kanafiah, Siti Nurul Aqmariah Mohd; Yusof, Mohd Imran (International Conference on Information Technology, Advanced Mechanical and Electrical Engineering (ICITAMEE), 2021)
      The spine is one part of the human axial skeleton that serves as the body’s primary support. Hence, the health of the spine must be considered. The most common spinal abnormality is scoliosis, with the shape of the spine ...

    • Comparison of Texture and Shape Features Performance for Leukemia Cell Images using Support Vector Machine 

      Jusman, Yessi; Samudra, Ega; Riyadi, Slamet; Kanafiah, Siti Nurul Aqmariah Mohd; Faisal, Amir; Hassan, Rosline; Mohamed, Zeehaida (International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2021)
      Leukemia or often called blood cancer is one type of cancer caused by excessive white blood cells. Excessive white blood cells will cause disruption of normal function of other blood cells. To find out leukemia, we can do ...

    • COVID-19 X-Ray Images Classification using Support Vector Machine and K-Nearest Neighbor 

      Jusman, Yessi; Mubarok, Dimas Wildan; Riyadi, Slamet; Kanafiah, Siti Nurul Aqmariah Mohd (ICITACEE, 2022)
      COVID-19 has significantly influenced living in recent years. Almost all countries have carried out all limitations to reduce its spread. Detection is highly required for further handling of COVID-19. In this study, the ...

    • An Intelligent Classification System for Trophozoite Stages in Malaria Species 

      Kanafiah, Siti Nurul Aqmariah Mohd; Mashor, Mohd Yusoff; Mohamed, Zeehaida; Way, Yap Chun; Shukor, Shazmin Aniza Abdul; Jusman, Yessi (Intelligent Automation & Soft Computing, 2022)
      Malaria is categorised as a dangerous disease that can cause fatal in many countries. Therefore, early detection of malaria is essential to get rapid treat- ment. The malaria detection process is usually carried out with ...