Cyber threat intelligence-based malicious URL detection model using ensemble learning
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 …
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
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 …
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
Classification of brain hemorrhage computed tomography (CT) images provides a better
diagnostic implementation for emergency patients. Attentively, each brain CT image must be …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
cater to individual preferences. While recommender systems prove invaluable for this …