MohammadNoor Injadat

According to our database, MohammadNoor Injadat authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing.

Abdulrahman Mahmoud Eid, Bassel Soudan, Ali Bou Nassif, MohammadNoor Injadat

Neural Comput. Appl., May, 2024

2023

Optimizing Road Safety through Intelligent Congestion Management.

Ghassan Samara, Alaa Elhilo, Mahmoud Rajallah Asassfeh, MohammadNoor Injadat, Mais Haj Qasem, Raed Alazaidah, Mohammad Aljaidi, Nabeel Al-Milli, Adnan A. Hnaif

Proceedings of the 24th International Arab Conference on Information Technology, 2023

A Deep Learning Approach Towards Student Performance Prediction in Online Courses: Challenges Based on a Global Perspective.

Abdallah Moubayed, MohammadNoor Injadat, Nouh Alhindawi, Ghassan Samara, Sara Abuasal, Raed Alazaidah

Proceedings of the 24th International Arab Conference on Information Technology, 2023

Optimized Ensemble Model Towards Secured Industrial IoT Devices.

MohammadNoor Injadat

Proceedings of the 24th International Arab Conference on Information Technology, 2023

Enhancing the Performance of Sign Language Recognition Models Using Machine Learning.

Ala' Alyabrodi, Shrouq Al-Daja, MohammadNoor Injadat, Abdallah Moubayed, Hebatullah Khattab

Proceedings of the 24th International Arab Conference on Information Technology, 2023

Feature Selection in Associative Classification-A Review and Comparative Analysis.

Raed Alazaidah, Ahmad Al-qerem, Mais Haj Qasem, Ala'a Al-Shaikh, Nabeel Al-Milli, MohammadNoor Injadat

Proceedings of the 24th International Arab Conference on Information Technology, 2023

2021

Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection.

MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami

IEEE Trans. Netw. Serv. Manag., 2021

Relationship between Student Engagement and Performance in e-Learning Environment Using Association Rules.

Abdallah Moubayed, MohammadNoor Injadat, Abdallah Shami, Hanan Lutfiyya

CoRR, 2021

Machine learning towards intelligent systems: applications, challenges, and opportunities.

MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami

Artif. Intell. Rev., 2021

2020

Systematic ensemble model selection approach for educational data mining.

MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami

Knowl. Based Syst., 2020

Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review.

Fadi Salo, MohammadNoor Injadat, Ali Bou Nassif, Aleksander Essex

CoRR, 2020

Multi-split optimized bagging ensemble model selection for multi-class educational data mining.

MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami

Appl. Intell., 2020

Optimized Random Forest Model for Botnet Detection Based on DNS Queries.

Abdallah Moubayed, MohammadNoor Injadat, Abdallah Shami

Proceedings of the 32nd International Conference on Microelectronics, 2020

Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach.

MohammadNoor Injadat, Abdallah Moubayed, Abdallah Shami

Proceedings of the 32nd International Conference on Microelectronics, 2020

2019

Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection.

Fadi Salo, MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Aleksander Essex

Proceedings of the International Conference on Computing, Networking and Communications, 2019

2018

Data Mining Techniques in Intrusion Detection Systems: A Systematic Literature Review.

Fadi Salo, MohammadNoor Injadat, Ali Bou Nassif, Abdallah Shami, Aleksander Essex

IEEE Access, 2018

E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics.

Abdallah Moubayed, MohammadNoor Injadat, Ali Bou Nassif, Hanan Lutfiyya, Abdallah Shami

IEEE Access, 2018

DNS Typo-Squatting Domain Detection: A Data Analytics & Machine Learning Based Approach.

Abdallah Moubayed, MohammadNoor Injadat, Abdallah Shami, Hanan Lutfiyya

Proceedings of the IEEE Global Communications Conference, 2018

Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection.

MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif, Aleksander Essex, Abdallah Shami

Proceedings of the IEEE Global Communications Conference, 2018

2016

Data mining techniques in social media: A survey.

MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif

Neurocomputing, 2016