Application of feature extraction for breast cancer using one order statistic, GLCM, GLRLM, and GLDM

DCR Novitasari, A Lubab, A Sawiji… - Advances in Science …, 2019 - repository.uinsa.ac.id
The increasing number of breast cancer in recent years has attracted numerous researchers'
attention. Several techniques of Computer Aided Diagnosis System have been proposed as …

Detecting Alzheimer's disease by the decision tree methods based on particle swarm optimization

RA Saputra, C Agustina, D Puspitasari… - Journal of Physics …, 2020 - iopscience.iop.org
In this study aims to determine the classification of Alzheimer's disease, this disease is a
dangerous disease that can eliminate memory loss and can even result in a loss of ability to …

Comparison of kernel function on support vector machine in classification of childbirth

PK Intan - Jurnal Matematika MANTIK, 2019 - jurnalsaintek.uinsa.ac.id
The maternal mortality rate during childbirth can be reduced through the efforts of the
medical team in determining the childbirth process that must be undertaken immediately …

Deteksi Penyakit Alzheimer Menggunakan Algoritma Naïve Bayes dan Correlation Based Feature Selection

SK Wildah, S Agustiani, W Gata, HM Nawawi - Jurnal Informatika, 2020 - ejournal.bsi.ac.id
Alzheimer merupakan kelainan berupa penimbunan plak atau protein tidak normal dalam
otak sehingga menyebabkan hilangnya sel neuron dan menjadi salah satu pemicu penyakit …

Comparison of the histogram of oriented gradient, GLCM, and shape feature extraction methods for breast cancer classification using SVM

H Mu'jizah, DCR Novitasari - Jurnal Teknologi dan Sistem …, 2021 - jtsiskom.undip.ac.id
Breast cancer originates from the ducts or lobules of the breast and is the second leading
cause of death after cervical cancer. Therefore, early breast cancer screening is required …

Identification of Covid-19 based on features texture histogram and gray level co-occurrence matrix (glcm) using k-means clustering methods in chest X-ray digital …

H Sumarti, Q Sabrina, D Triana… - … Penelitian Fisika dan …, 2023 - journal.unesa.ac.id
Since the last five years of the COVID-19 outbreak, radiological images, such as CT-Scan
and Chest X-Ray (CXR), have become essential in diagnosing this disease. However …

Penerapan Fuzzy Inference System Dalam Pengoptimalan Suhu Ruangan Pada Double Air Conditioner (Ac) Secara Otomatis

DC Rini, AZ Arifin, A Fanani… - MathVision: Jurnal …, 2019 - journal.unirow.ac.id
Suhu pada luar ruangan serta suhu pada dalam ruangan dan banyaknya jumlah orang
pada dalam ruangan sangatlah mempengaruhi keluaran suhu Air Conditioner (AC) …

[PDF][PDF] Image X-Ray Classification for COVID-19 Detection using GLCM-ELM

VUM Maksum, DCR Novitasari, A Hamid - J. Mat. MANTIK, 2021 - core.ac.uk
COVID-19 is a disease or virus that has recently spread worldwide. The disease has also
taken many casualties because the virus is notoriously deadly. An examination can be …

Classification of Alzheimer Disease from MRI Image Using Combination Naïve Bayes and Invariant Moment

AI Lubis, S Sibagariang, N Ardi - ICAE 2022: Proceedings of the …, 2023 - books.google.com
This study examines the classification of Alzheimer's disease. Alzheimer's is a memory
disorder in an older person caused by degeneration of the central nervous system, which …

Analisis peramalan beban listrik jangka pendek menggunakan metode adaptive neuro fuzzy inference system: studi kasus PT. PLN (Persero) area pengaturan …

U Khasanah, DCR Novitasari, WD Utami - Jurnal Matematika, 2019 - repository.uinsa.ac.id
Prediksi atau peramalan beban listrik dibutuhkan dalam menentukan jumlah listrik yang
akan diproduksi guna mencegah terjadinya beban berlebih yang dapat menyebabkan …