Modified genetic algorithm for feature selection and hyper parameter optimization: case of XGBoost in spam prediction

N Ghatasheh, I Altaharwa, K Aldebei - IEEE Access, 2022 - ieeexplore.ieee.org
Recently, spam on online social networks has attracted attention in the research and
business world. Twitter has become the preferred medium to spread spam content. Many …

Ransomware classification using machine learning

NE Majd, T Mazumdar - 2023 32nd International Conference on …, 2023 - ieeexplore.ieee.org
The rise of ransomware has emerged as a pressing concern for the technology industry,
demanding prompt action to prevent monetary and ethical exploitation. Therefore, an …

Spam Detection in Short Message Service (SMS) Using Naïve Bayes, SVM, LSTM, and CNN

E Wijaya, G Noveliora, KD Utami… - 2023 10th …, 2023 - ieeexplore.ieee.org
Short Message Services (SMS) has been most people's habits. The numbers of SMS usage
have been growing rapidly since text messages are more effective than emails. However …

[HTML][HTML] A content-based recommender system using stacked LSTM and an attention-based autoencoder

K Saini, A Singh - Measurement: Sensors, 2024 - Elsevier
Recommender systems (RS) are popular in many areas, such as movies, music, news,
books, research articles, search queries, and social tagging. Proprietary recommender …

SMS and E-mail Spam Classification Using Natural Language Processing and Machine Learning

P Bari, V Mathew, SP Tandel, P Aniket… - … , Electronics and Digital …, 2023 - Springer
Billions of messages are sent daily over the Internet, out of which a majority part of them is
spam. These spam messages have become a primary cause of distraction and security …

[PDF][PDF] THESIS SIGNATURE PAGE

MS HANCHATE - 2023 - scholarworks.calstate.edu
In recent times, Email and text messages are widely used to communicate as the number of
cell phones/mobiles has increased drastically. Short Message Service (SMS) is one of the …