A hybrid approach for Arabic named entity disambiguation. - Mohammad Al-Smadi; Bashar Talafha; Omar Qawasmeh; Mohammed Nasser Al-Andoli; Wegdan A. Hussien; Christian Guetl (I-KNOW, 2015)

Using Dynamic Parallelism to Speed Up Clustering-Based Community Detection in Social Networks. - Mohammed Nasser Al-Andoli; Mahmoud Al-Ayyoub; Mohammad Al-Smadi; Yaser Jararweh; Elhadj Benkhelifa (FiCloud Workshops, 2016)

Improving fuzzy C-mean-based community detection in social networks using dynamic parallelism. - Mahmoud Al-Ayyoub; Mohammed Nasser Al-Andoli; Yaser Jararweh; Mohammad Al-Smadi; Brij B. Gupta (Comput. Electr. Eng., 2019)

A Review on Community Detection in Large Complex Networks from Conventional to Deep Learning Methods: A Call for the Use of Parallel Meta-Heuristic Algorithms. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Wooi Ping Cheah; Sin Yin Tan (IEEE Access, 2021)

Deep learning-based community detection in complex networks with network partitioning and reduction of trainable parameters. - Mohammed Nasser Al-Andoli; Wooi Ping Cheah; Shing Chiang Tan (J. Ambient Intell. Humaniz. Comput., 2021)

Deep autoencoder-based community detection in complex networks with particle swarm optimization and continuation algorithms. - Mohammed Nasser Al-Andoli; Wooi Ping Cheah; Shing Chiang Tan (J. Intell. Fuzzy Syst., 2021)

Parallel stacked autoencoder with particle swarm optimization for community detection in complex networks. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Wooi Ping Cheah (Appl. Intell., 2022)

Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Kok Swee Sim; Chee Peng Lim; Pey Yun Goh (Appl. Soft Comput., 2022)

Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Wooi Ping Cheah (Inf. Sci., 2022)

An Ensemble-Based Parallel Deep Learning Classifier With PSO-BP Optimization for Malware Detection. - Mohammed Nasser Al-Andoli; Kok Swee Sim; Shing Chiang Tan; Pey Yun Goh; Chee Peng Lim (IEEE Access, 2023)

A Parallel Ensemble Learning Model for Fault Detection and Diagnosis of Industrial Machinery. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Kok Swee Sim; Manjeevan Seera; Chee Peng Lim (IEEE Access, 2023)

An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Kok Swee Sim; Pey Yun Goh; Chee Peng Lim (J. Intell. Fuzzy Syst., 2023)

Free device location independent WiFi-based localisation using received signal strength indicator and channel state information. - Fahd Abuhoureyah; Yan Chiew Wong; Ahmad Sadhiqin Bin Mohd Isira; Mohammed Nasser Al-Andoli (IET Wirel. Sens. Syst., 2023)

CSI-Based Location Independent Human Activity Recognition Using Deep Learning. - Fahd Abuhoureyah; Yan Chiew Wong; Ahmad Sadhiqin Bin Mohd Isira; Mohammed Nasser Al-Andoli (Hum. Centric Intell. Syst., 2023)

Robust Overlapping Community Detection in Complex Networks With Graph Convolutional Networks and Fuzzy C-Means. - Mohammed Nasser Al-Andoli; Irianto; Jamil Abedalrahim Jamil Alsayaydeh; Ibrahim M. Alwayle; Che Ku Nuraini Che Ku Mohd; Fahd Abuhoureyah (IEEE Access, 2024)

A Framework for Robust Deep Learning Models Against Adversarial Attacks Based on a Protection Layer Approach. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Kok Swee Sim; Pey Yun Goh; Chee Peng Lim (IEEE Access, 2024)

Improving the Robustness of IoT-Powered Smart City Applications Through Service-Reliant Application Authentication Technique. - Jamil Abedalrahim Jamil Alsayaydeh; Irianto; Mohanad Faeq Ali; Mohammed Nasser Al-Andoli; Safarudin Gazali Herawan (IEEE Access, 2024)