Published: 2024-08-02

Classification of mammographic image based on texture features with Random Forest method for identification of breast tumors

Rizal Krisdiyanto, Heni Sumarti (Author)

1-9

Abstract views: 101 times | PDF downloaded: 12 times |

Classification of gastric tissue images based on texture characteristics using the Random Forest method

Hesti Windyasari, Putri Zulfikah, Hanin Aisya Fakihati, Nabila Triwahyuni Handayani, Fitria Kholbi Azizah, Wahyu Malda Sere (Author)

10-16

Abstract views: 52 times | PDF downloaded: 3 times |

Analysis of Beta signal activity before and after smelling the scent of castor oil on Adolescent enthusiasm

Amirul Ma’arif, Aenul Mutmainah (Author)

17-23

Abstract views: 89 times | PDF downloaded: 68 times |

Beta signal activity analysis using Power Spectra Density (PSD) algorithm with murrotal surah al-Fatihah stimulation on adolescent anxiety

Tika Rahmawati, Latifatul Istianah (Author)

24-30

Abstract views: 80 times | PDF downloaded: 52 times |

Classification of normal and cancerous mammogram images based on texture features using the Support Vector Machine (SVM) method

Risma Eka Ashari Ashari, Hamdan Hadi Kusuma (Author)

40-49

Abstract views: 80 times | PDF downloaded: 59 times |