Role of Artificial Intelligence in Online Education: A Systematic Mapping Study
Artificial intelligence (AI) comprises various sub-fields, including machine learning (ML) and
deep learning (DL) perform a key role in the transformation of many industries, including …
deep learning (DL) perform a key role in the transformation of many industries, including …
Role of artificial intelligence for analysis of covid-19 vaccination-related tweets: opportunities, challenges, and future trends
Pandemics and infectious diseases are overcome by vaccination, which serves as a
preventative measure. Nevertheless, vaccines also raise public concerns; public …
preventative measure. Nevertheless, vaccines also raise public concerns; public …
[HTML][HTML] A hybrid correlation-based deep learning model for email spam classification using fuzzy inference system
Spam emails are unwanted and unsolicited messages. The major problems in email spam
detection methods are low detection rates and a high likelihood of false alarms. This study …
detection methods are low detection rates and a high likelihood of false alarms. This study …
Modified genetic algorithm for feature selection and hyper parameter optimization: case of XGBoost in spam prediction
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 …
business world. Twitter has become the preferred medium to spread spam content. Many …
Electroencephalogram signals for detecting confused students in online education platforms with probability-based features
Online education has emerged as an important educational medium during the COVID-19
pandemic. Despite the advantages of online education, it lacks face-to-face settings, which …
pandemic. Despite the advantages of online education, it lacks face-to-face settings, which …
Visualization technology and deep-learning for multilingual spam message detection
H Lee, S Jeong, S Cho, E Choi - Electronics, 2023 - mdpi.com
Spam detection is an essential and unavoidable problem in today's society. Most of the
existing studies have used string-based detection methods with models and have been …
existing studies have used string-based detection methods with models and have been …
Robust multimedia spam filtering based on visual, textual, and audio deep features and random forest
Nowadays, there is a growing demand among Internet and social media users for improved
protection against spam. Despite numerous studies focused on spam detection, no …
protection against spam. Despite numerous studies focused on spam detection, no …
Effectiveness of data augmentation to predict students at risk using deep learning algorithms
K Fahd, SJ Miah - Social Network Analysis and Mining, 2023 - Springer
The academic intervention to predict at-risk higher education (HE) students requires
effective data model development. Such data modelling projects in the HE context may have …
effective data model development. Such data modelling projects in the HE context may have …
Investigating Evasive Techniques in SMS Spam Filtering: A Comparative Analysis of Machine Learning Models
The persistence of SMS spam remains a significant challenge, highlighting the need for
research aimed at developing systems capable of effectively handling the evasive strategies …
research aimed at developing systems capable of effectively handling the evasive strategies …
A Hybrid Model with New Word Weighting for Fast Filtering Spam Short Texts
Short message services (SMS), microblogging tools, instant message apps, and commercial
websites produce numerous short text messages every day. These short text messages are …
websites produce numerous short text messages every day. These short text messages are …