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Munther Abualkibash
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Conference and Workshop Papers
- 2023
- [c11]Alexander Veach, Munther Abualkibash:
Detecting Phishing Websites Based on Machine Learning Techniques. ACR 2023: 513-522 - [c10]Omar Darwish, Yahya M. Tashtoush
, Majdi Maabreh
, Rana Al-essa, Ruba Aln'uman, Ammar Alqublan, Munther Abualkibash, Mahmoud Elkhodr:
Identifying Fake News in the Russian-Ukrainian Conflict Using Machine Learning. AINA (3) 2023: 546-557 - 2022
- [c9]Mahmoud Al-Maani, Gayle Frisbie, Frederick Shippy, Mario Tiseo, Omar A. Darwish, Munther Abualkibash:
A Classifier to Detect Number of Machines Performing DoS Attack Against Arduino Oplà Device in IoT Environment. CommNet 2022: 1-9 - 2018
- [c8]Hadeel Mohammed Jawad, Samir Tout, Munther Abualkibash, Yichun Xie:
Integrating Art and Animation in Teaching Computer Programming for High School Students Experimental Study. EIT 2018: 311-317 - [c7]Samir Tout, Munther Abualkibash, Pooja Patil:
Emerging Research in the Security of Modern and Autonomous Vehicles. EIT 2018: 543-547 - [c6]Syed Hussain, Munther Abualkibash, Samir Tout:
A Survey of Traffic Sign Recognition Systems Based on Convolutional Neural Networks. EIT 2018: 570-573 - [c5]Liu Hua Yeo, Munther Abualkibash, James Banfield, Suleiman Ashur:
Infrastructure Challenges in an Information Assurance Education: An Implementation Case. EIT 2018: 583-588 - [c4]Kasim A. Korkmaz, Munther Abualkibash:
Earthquake Damage Detection Using Before and After Earthquake Satellite Images. EIT 2018: 615-619 - [c3]Hadeel Mohammed Jawad, Munther Abualkibash, Samir Tout, Yichun Xie:
The Theory of Planned Behavior and High School Students Interest in Computer Science. EIT 2018: 764-769 - 2015
- [c2]Munther Abualkibash, Ausif Mahmood, Saeid Moslehpour:
A near real-time, parallel and distributed adaptive object detection and retraining framework based on AdaBoost algorithm. HPEC 2015: 1-8 - 2009
- [c1]Munther Abualkibash, James Gedney, Yongbom Kim, Jeongkyu Lee:
A Hierarchical Approach to Landmarks Detection in Taekwondo Poomsae Videos. CSA 2009: 1-6
Informal and Other Publications
- 2020
- [i2]Munther Abualkibash:
Machine Learning in Network Security Using KNIME Analytics. CoRR abs/2001.11489 (2020) - 2013
- [i1]Munther Abualkibash, Ahmed ElSayed, Ausif Mahmood:
Highly Scalable, Parallel and Distributed AdaBoost Algorithm using Light Weight Threads and Web Services on a Network of Multi-Core Machines. CoRR abs/1306.1467 (2013)
Coauthor Index
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