[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 …
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 …
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
predictive performance of several machine learning algorithms. This step aims to convert …
Feature Selection in Associative Classification-A Review and Comparative Analysis
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 …
final accuracy of any classification model. It aims to determine the most significant features …