Modeling Multi-agent Logistic Process System using Hybrid Automata. - Ammar Mohammed; Ulrich Furbach (MSVVEIS, 2008)

HieroMate: A Graphical Tool for Specification and Verification of Hierarchical Hybrid Automata. - Ammar Mohammed; Christian Schwarz (KI, 2009)

Multi-Agent Systems: Modeling and Verification Using Hybrid Automata. - Ammar Mohammed; Ulrich Furbach (PROMAS, 2009)

From Reactive to Deliberative Multi-agent Planning. - Ammar Mohammed; Ulrich Furbach (MSVVEIS, 2009)

A Tool Environment for Specifying and Verifying Multi-agent Systems. - Christian Schwarz; Ammar Mohammed; Frieder Stolzenburg (ICAART (2), 2010)

Extending CTL to Specify Quantitative Temporal Requirements. - Ammar Mohammed; Ulrich Furbach (MSVVEIS, 2010)

Hybrid multi-agent systems: modeling, specification and verification. - Ammar Mohammed Ammar (2010)

MAS: Qualitative and Quantitative Reasoning. - Ammar Mohammed; Ulrich Furbach (ProMAS, 2011)

A Generalized Polygon Fuzzy Number for Fuzzy Multi Criteria Decision Making. - Samah Bekheet; Ammar Mohammed; Hesham A. Hefny (AMLTA, 2014)

Enhanced Knowledge Discovery Approach in Textual Case Based Reasoning. - Islam Elhalwany; Ammar Mohammed; Khaled Tawfik Wassif; Hesham A. Hefny (MICAI (Special Sessions), 2014)

Epistemic Hybrid Tree Logic. - Ammar Mohammed; Rana Mohamed; Hesham A. Hefny (ICCTA, 2015)

Using Textual Case-based Reasoning in Intelligent Fatawa QA System. - Islam Elhalwany; Ammar Mohammed; Khaled Tawfik Wassif; Hesham A. Hefny (Int. Arab J. Inf. Technol., 2015)

GloSOPHIA: An Enhanced Textual Based Clustering Approach by Word Embeddings. - Ehab Terra; Ammar Mohammed; Hesham A. Hefny (AISI, 2019)

Applying Convolutional Neural Networks For Image Detection. - Abdel-Fatah Karam; Mohamed Embaby; Hazem El-Kady; Samir Abdel-Hafeez; George Nabil; Ammar Mohammed (SmartNets, 2019)

Deep learning approaches for Arabic sentiment analysis. - Ammar Mohammed; Rania Kora (Soc. Netw. Anal. Min., 2019)

An enhanced deep learning approach for brain cancer MRI images classification using residual networks. - Sarah Ali Abdelaziz Ismael; Ammar Mohammed; Hesham A. Hefny (Artif. Intell. Medicine, 2020)

Modeling adaptive E-Learning environment using facial expressions and fuzzy logic. - Mohammed Megahed; Ammar Mohammed (Expert Syst. Appl., 2020)

Improving the Performance of Deep Neural Networks Using Two Proposed Activation Functions. - Asmaa A. Alkhouly; Ammar Mohammed; Hesham A. Hefny (IEEE Access, 2021)

An enhanced opinion retrieval approach via implicit feature identification. - Sarah Saad Eldin; Ammar Mohammed; Ahmed Sharaf Eldin; Hesham Ahmed Hefny (J. Intell. Inf. Syst., 2021)

An Enhanced Opinion Retrieval Approach on Arabic Text for Customer Requirements Expansion. - Sarah Saad Eldin; Ammar Mohammed; Hesham A. Hefny; Ahmed Sharaf Eldin Ahmed (J. King Saud Univ. Comput. Inf. Sci., 2021)

A comprehensive review on updating concept lattices and its application in updating association rules. - Ebtesam E. Shemis; Ammar Mohammed (WIREs Data Mining Knowl. Discov., 2021)

A Comprehensive Review of Arabic Text Summarization. - Asmaa Elsaid; Ammar Mohammed; Lamiaa Fattouh Ibrahim; Mohammed M. Sakre (IEEE Access, 2022)

Spatial-Net for Human-Object Interaction Detection. - Ahmed E. Mansour; Ammar Mohammed; Hussein Abd El Atty Elsayed; Salwa Elramly (IEEE Access, 2022)

A Proposed Fuzzy Logic Approach for Conserving the Energy of Data Transmission in the Temperature Monitoring Systems of Internet of Things. - Noha Elqeblawy; Ammar Mohammed; Hesham A. Hefny (CoRR, 2022)

An effective ensemble deep learning framework for text classification. - Ammar Mohammed; Rania Kora (J. King Saud Univ. Comput. Inf. Sci., 2022)

An Enhanced Deep Learning Approach for Breast Cancer Detection in Histopathology Images. - Mahmoud Ouf; Yasser Abdul-Hamid; Ammar Mohammed (AICV, 2023)

A Comprehensive Survey on Arabic Sarcasm Detection: Approaches, Challenges and Future Trends. - Alaa Rahma; Shahira Shaaban Azab; Ammar Mohammed (IEEE Access, 2023)

A comprehensive review on ensemble deep learning: Opportunities and challenges. - Ammar Mohammed; Rania Kora (J. King Saud Univ. Comput. Inf. Sci., 2023)

Deep learning for Arabic healthcare: MedicalBot. - Mohammed Abdelhay; Ammar Mohammed; Hesham A. Hefny (Soc. Netw. Anal. Min., 2023)

An enhanced approach for sentiment analysis based on meta-ensemble deep learning. - Rania Kora; Ammar Mohammed (Soc. Netw. Anal. Min., 2023)

Collaborative-GAN: An Approach for Stabilizing the Training Process of Generative Adversarial Network. - Mohammed Megahed; Ammar Mohammed (IEEE Access, 2024)

MRD-GAN: Multi-representation discrimination GAN for enhancing the diversity of the generated data. - Mohammed Megahed; Ammar Mohammed (Comput. Intell., 2024)

Leveraging Hybrid Deep Learning Models for Enhanced Multivariate Time Series Forecasting. - Amal Mahmoud; Ammar Mohammed (Neural Process. Lett., 2024)

A Comprehensive Overview and Analysis of Large Language Models: Trends and Challenges. - Ammar Mohammed; Rania Kora (IEEE Access, 2025)

Few-Shot Optimized Framework for Hallucination Detection in Resource-Limited NLP Systems. - Baraa Hikal; Ahmed Nasreldin; Ali Hamdi; Ammar Mohammed (CoRR, 2025)

Cross-Language Approach for Quranic QA. - Islam Oshallah; Mohamed Basem; Ali Hamdi; Ammar Mohammed (CoRR, 2025)