Query classification and study of university students' search trends. - Majdi Maabreh; Mohammed Al-Kabi; Izzat Mahmoud Alsmadi (Program, 2012)

A parallel peptide indexer and decoy generator for crux tide using OpenMP. - Majdi Maabreh; Ajay Gupta 001; Fahad Saeed (HPCS, 2016)

Towards Centralized MS/MS Spectra Preprocessing: An Empirical Evaluation of Peptides Search Engines using Ground Truth Datasets. - Majdi Maabreh; Ajay Gupta 001; Izzat Alsmadi (BIBE, 2017)

Optimizing Protein Search Engines using Particle Swarm Optimization. - Majdi Maabreh; Basheer Qolomany; Ajay Gupta 001; James R. Springstead (BIBE, 2017)

Deep learning-based MSMS spectra reduction in support of running multiple protein search engines on cloud. - Majdi Maabreh; Basheer Qolomany; Izzat Alsmadi; Ajay Gupta 001 (BIBM, 2017)

Deep vs. shallow learning-based filters of MS/MS spectra in support of protein search engines. - Majdi Maabreh; Basheer Qolomany; James R. Springstead; Izzat Alsmadi; Ajay Gupta 001 (BIBM, 2017)

Parameters optimization of deep learning models using Particle swarm optimization. - Basheer Qolomany; Majdi Maabreh; Ala I. Al-Fuqaha; Ajay Gupta 001; Driss Benhaddou (IWCMC, 2017)

A multithreading and hashing technique for indexing Target-Decoy peptides databases. - Majdi Maabreh; Hafez Irshid; Ajay Gupta 001; Izzat Alsmadi (Concurr. Comput. Pract. Exp., 2018)

Source Codes Classification Using a Modified Instruction Count Pass. - Omar Darwish 001; Majdi Maabreh; Ola Karajeh; Belal Alsinglawi (AINA Workshops, 2019)

Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges. - Kashif Ahmad; Majdi Maabreh; Mohamed Ghaly; Khalil Khan; Junaid Qadir 001; Ala I. Al-Fuqaha (CoRR, 2020)

Enhancing Robots Navigation in Internet of Things Indoor Systems. - Yahya M. Tashtoush; Israa Haj-Mahmoud; Omar Darwish 001; Majdi Maabreh; Belal Alsinglawi; Mahmoud Elkhodr; Nasser Alsaedi (Comput., 2021)

A Classifier to Detect Stream Applications Based on Network Traffic Statistical Metrics. - Omar Darwish 001; Sarah Herzallah; Majdi Maabreh; Shorouq Al-Eidi; Mahmoud Al-Maani; Yahya M. Tashtoush (ACIT, 2022)

On developing deep learning models with particle swarm optimization in the presence of poisoning attacks. - Majdi Maabreh; Omar Darwish 001; Ola Karajeh; Yahya M. Tashtoush (ACIT, 2022)

CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets Using Deep Learning Models. - Aos Mulahuwaish; Manish Osti; Kevin Gyorick; Majdi Maabreh; Ajay Gupta 001; Basheer Qolomany (ICHI, 2022)

Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges. - Kashif Ahmad; Majdi Maabreh; Mohamed Ghaly; Khalil Khan; Junaid Qadir 001; Ala I. Al-Fuqaha (Comput. Sci. Rev., 2022)

A Deep Learning Framework for Detection of COVID-19 Fake News on Social Media Platforms. - Yahya M. Tashtoush; Balqis Alrababah; Omar Darwish 001; Majdi Maabreh; Nasser Alsaedi (Data, 2022)

The robustness of popular multiclass machine learning models against poisoning attacks: Lessons and insights. - Majdi Maabreh; Arwa Maabreh; Basheer Qolomany; Ala I. Al-Fuqaha (Int. J. Distributed Sens. Networks, 2022)

Survey on authentication and security protocols and schemes over 5G networks. - Yahya M. Tashtoush; Dirar A. Darweesh; Ola Karajeh; Omar A. Darwish; Majdi Maabreh; Safa' Swedat; Rawan Koraysh; Omar Almousa; Nasser Alsaedi (Int. J. Distributed Sens. Networks, 2022)

Towards Data-Driven Network Intrusion Detection Systems: Features Dimensionality Reduction and Machine Learning. - Majdi Maabreh; Ibrahim Obeidat; Esraa Abu Elsoud; Asma Alnajjar; Rahaf Alzyoud; Omar Darwish 001 (Int. J. Interact. Mob. Technol., 2022)

A Comparative Study of Secure and Efficient Data Duplication Mechanisms for Cloud-Based IoT Applications. - Vishnu Vardhan Baligodugula; Fathi Amsaad 001; Varshitha Vunnam Tadepalli; Vojjala Radhika; Yetukuri Sanjana; Sai Shiva; Supriya Meduri; Majdi Maabreh; Naser Alsaadi; Omar A. Darwish; Abdul Razaque; Yahya M. Tashtoush (ACR, 2023)

Identifying Fake News in the Russian-Ukrainian Conflict Using Machine Learning. - Omar Darwish 001; Yahya M. Tashtoush; Majdi Maabreh; Rana Al-essa; Ruba Aln'uman; Ammar Alqublan; Munther Abualkibash; Mahmoud Elkhodr (AINA (3), 2023)

DFCV: a framework for evaluation deep learning in early detection and classification of lung cancer. - Abeer Alsadoon; Ghazi Al-Naymat; Ahmed Hamza Osman; Belal Alsinglawi; Majdi Maabreh; Md. Rafiqul Islam 001 (Multim. Tools Appl., 2023)

A deep learning approach for detecting covert timing channel attacks using sequential data. - Shorouq Al-Eidi; Omar Darwish 001; Yuanzhu Chen 001; Majdi Maabreh; Yahya M. Tashtoush (Clust. Comput., 2024)