Cyber threat intelligence-based malicious URL detection model using ensemble learning

M Alsaedi, FA Ghaleb, F Saeed, J Ahmad, M Alasli - Sensors, 2022 - mdpi.com
Web applications have become ubiquitous for many business sectors due to their platform
independence and low operation cost. Billions of users are visiting these applications to …

A deep learning approach for detecting stroke from brain CT images using OzNet

O Ozaltin, O Coskun, O Yeniay, A Subasi - Bioengineering, 2022 - mdpi.com
A brain stroke is a life-threatening medical disorder caused by the inadequate blood supply
to the brain. After the stroke, the damaged area of the brain will not operate normally. As a …

Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm

O Ozaltin, O Coskun, O Yeniay… - International Journal of …, 2023 - Wiley Online Library
Classification of brain hemorrhage computed tomography (CT) images provides a better
diagnostic implementation for emergency patients. Attentively, each brain CT image must be …

The Effect of Class Imbalance Handling on Datasets Toward Classification Algorithm Performance

C Kaope, Y Pristyanto - MATRIK: Jurnal …, 2023 - journal.universitasbumigora.ac.id
Class imbalance is a condition where the amount of data in the minority class is smaller than
that of the majority class. The impact of the class imbalance in the dataset is the occurrence …

Improving Cybersecurity: A Comparative Analysis of Machine Learning-Based Uniform Resource Locator (URL) Classification

RG de Luna, KAR Girang, JELD Lucido… - … on Informatics and …, 2024 - ieeexplore.ieee.org
Threats on the internet are a major issue, as cyberattacks continue to pose a security
challenge due to the increasing number of malicious sites. Therefore, it is crucial to maintain …

Understanding the influence of AST-JS for improving malicious webpage detection

MF Rozi, S Ozawa, T Ban, S Kim, T Takahashi… - Applied Sciences, 2022 - mdpi.com
JavaScript-based attacks injected into a webpage to perpetrate malicious activities are still
the main problem in web security. Recent works have leveraged advances in artificial …

An Intelligent Movies Recommendation System Based Facial Attributes Using Machine Learning

M Balfaqih, A Altwaim… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org
Movie theaters and platforms offer a wide selection of movies that require filtering to match
the preferences of individual users. Recommender systems are an effective tool for this task …

Classification of malicious urls by CNN model based on genetic algorithm

T Wu, Y Xi, M Wang, Z Zhao - Applied Sciences, 2022 - mdpi.com
Researchers have proposed many models for the identification of malicious URLs in
network security, but they have not achieved good results. In order to improve this defect, the …

Classification of Malicious URLs Using Naive Bayes and Genetic Algorithm

M Koca, İ Avcı, MAS Al-hayani - Sakarya University Journal of …, 2023 - saucis.sakarya.edu.tr
The financial losses of vulnerable and insecure websites are increasing day by day. The
proposed system in this research presents a strategy based on factor analysis of website …

A Hybrid Movies Recommendation System Based on Demographics and Facial Expression Analysis using Machine Learning.

M Balfaqih - … Journal of Advanced Computer Science & …, 2023 - search.ebscohost.com
Cinemas and digital platforms offer an extensive array of content requiring tailored filtering to
cater to individual preferences. While recommender systems prove invaluable for this …