[PDF][PDF] Website phishing detection using machine learning techniques

R Alazaidah, A Al-Shaikh… - Journal of …, 2024 - digitalcommons.aaru.edu.jo
Phishing is a cybercrime that is constantly increasing in the recent years due to the
increased use of the Internet and its applications. It is one of the most common types of …

[HTML][HTML] Seleksi Fitur pada Supervised Learning: Klasifikasi Prestasi Belajar Mahasiswa Saat dan Pasca Pandemi COVID-19

A Rahmadeyan, M Mustakim - Jurnal Nasional Teknologi dan …, 2023 - teknosi.fti.unand.ac.id
Dampak pandemi COVID-19 membuat lembaga pendidikan mengubah metode belajar
menjadi pembelajaran jarak jauh secara daring. Banyak perguruan tinggi menyatakan …

A lightweight deep learning method to identify different types of cervical cancer

MHK Mehedi, M Khandaker, S Ara, MA Alam… - Scientific Reports, 2024 - nature.com
Cervical cancer is the second most common cancer in women's bodies after breast cancer.
Cervical cancer develops from dysplasia or cervical intraepithelial neoplasm (CIN), the early …

[PDF][PDF] Intelligent Heart Disease Prediction System with Applications in Jordanian Hospitals

MS Al-Batah, MS Alzboon… - International Journal of …, 2023 - researchgate.net
Heart disease is the leading cause of mortality worldwide. Early identification and prediction
can play a crucial role in preventing and treating it. Based on patient data, machine learning …

[PDF][PDF] Prostate Cancer Detection and Analysis using Advanced Machine Learning

MS Alzboon, MS Al-Batah - International Journal of Advanced …, 2023 - academia.edu
Prostate cancer is one of the leading causes of cancer-related deaths among men. Early
detection of prostate cancer is essential in improving the survival rate of patients. This study …

Utilizing Machine Learning in Medical Diagnosis: Systematic Review and Empirical Analysis

R Alazaidah, M Hassan, L Al-Rbabah… - … Arab Conference on …, 2023 - ieeexplore.ieee.org
During the last few years, several real-life applications have attempted to utilize the proven
high capabilities of artificial intelligence in general and machine learning in particular …

Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models

R Alazaidah, G Samara, M Aljaidi, M Haj Qasem… - Diagnostics, 2023 - mdpi.com
Sleep disorder is a disease that can be categorized as both an emotional and physical
problem. It imposes several difficulties and problems, such as distress during the day, sleep …

The significance of capturing the correlations among labels in multi-label classification: An investigative study

R Alazaidah, M Alzyoud, N Al-Shanableh… - AIP Conference …, 2023 - pubs.aip.org
Multi-label Classification (MLC) is a special type of classification that has a distinguishable
feature over Single Label Classification (SLC). This distinguishable feature is the ability to …

A Comparative Analysis of Discretization Techniques in Machine Learning

R Alazaidah - 2023 24th International Arab Conference on …, 2023 - ieeexplore.ieee.org
Data discretization is a very significant pre-process step that has a great impact on the
predictive performance of several machine learning algorithms. This step aims to convert …

Feature Selection in Associative Classification-A Review and Comparative Analysis

R Alazaidah, A Al-qerem, MH Qasem… - … Arab Conference on …, 2023 - ieeexplore.ieee.org
Feature selection is one of the most important and significant steps that highly affects the
final accuracy of any classification model. It aims to determine the most significant features …