-
1
-
2
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…By using a comprehensive dataset with multiple attack types, a well-trained model can be created to improve the anomaly detection performance. …”
-
3
Developing an online hate classifier for multiple social media platforms
Published 2020“…Although researchers have found that hate is a problem across multiple platforms, there is a lack of models for online hate detection using multi-platform data. …”
-
4
Accurate multiple network alignment through context-sensitive random walk
Published 2015“…Performance evaluation based on synthetic networks as well as real protein-protein interaction networks shows that the proposed algorithm can construct more accurate multiple network alignments compared to other leading methods.…”
-
5
Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
Published 2023“…These findings emphasize the potential for deep learning techniques to be applied in the development of automated systems for identifying and combating cyberbullying on social media and show how well they work in detecting cyberbullying.…”
Get full text
-
6
-
7
-
8
An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
Published 2019“…Therefore, for this paper multiple machine learning algorithms are investigated to predict system failure based on vehicle trips information as well as maintenance management historical data including preventive maintenance and corrective maintenance. …”
Get full text
-
9
MSLP: mRNA subcellular localization predictor based on machine learning techniques
Published 2023“…<h3>Background</h3><p dir="ltr">Subcellular localization of messenger RNA (mRNAs) plays a pivotal role in the regulation of gene expression, cell migration as well as in cellular adaptation. Experiment techniques for pinpointing the subcellular localization of mRNAs are laborious, time-consuming and expensive. …”
