Study and Analysis of MAC/IPAD Lab Configuration. - Ayman Noor (CoRR, 2017)

Osmotic Monitoring of Microservices between the Edge and Cloud. - Arthur Souza 001; Nélio Cacho; Ayman Noor; Prem Prakash Jayaraman; Alexander B. Romanovsky; Rajiv Ranjan 001 (HPCC/SmartCity/DSS, 2018)

A Framework for Monitoring Microservice-Oriented Cloud Applications in Heterogeneous Virtualization Environments. - Ayman Noor; Devki Nandan Jha; Karan Mitra; Prem Prakash Jayaraman; Arthur Souza 001; Rajiv Ranjan 001; Schahram Dustdar (CLOUD, 2019)

SmartMonit: Real-Time Big Data Monitoring System. - Umit Demirbaga; Ayman Noor; Zhenyu Wen; Philip James 002; Karan Mitra; Rajiv Ranjan 001 (SRDS, 2019)

Cyber-physical application monitoring across multiple clouds. - Ayman Noor; Karan Mitra; Ellis Solaiman; Arthur Souza 001; Devki Nandan Jha; Umit Demirbaga; Prem Prakash Jayaraman; Nélio Cacho; Rajiv Ranjan 001 (Comput. Electr. Eng., 2019)

COM-PACE: Compliance-Aware Cloud Application Engineering Using Blockchain. - Gagangeet Singh Aujla; Masoud Barati; Omer F. Rana; Schahram Dustdar; Ayman Noor; Jose Tomas Llanos; Madeline Carr; Davit Marikyan; Savvas Papagiannidis; Rajiv Ranjan 001 (IEEE Internet Comput., 2020)

Dynamic Data Streams for Time-Critical IoT Systems in Energy-Aware IoT Devices Using Reinforcement Learning. - Fawzy Habeeb; Tomasz Szydlo; Lukasz Kowalski; Ayman Noor; Dhaval Thakker; Graham Morgan; Rajiv Ranjan 001 (Sensors, 2022)

AutoDiagn: An Automated Real-Time Diagnosis Framework for Big Data Systems. - Umit Demirbaga; Zhenyu Wen; Ayman Noor; Karan Mitra; Khaled Alwasel; Saurabh Garg 001; Albert Y. Zomaya; Rajiv Ranjan 001 (IEEE Trans. Computers, 2022)

Dynamic Bandwidth Slicing for Time-Critical IoT Data Streams in the Edge-Cloud Continuum. - Fawzy Habeeb; Khaled Alwasel; Ayman Noor; Devki Nandan Jha; Duaa AlQattan; Yinhao Li; Gagangeet Singh Aujla; Tomasz Szydlo; Rajiv Ranjan 001 (IEEE Trans. Ind. Informatics, 2022)

Neural session key exchange in the Industrial Internet of Things using hyperchaotic-guided vector-valued artificial neural synchronization. - Tao Hai; Arindam Sarkar; Rahul Karmakar; Mohammad Zubair Khan; Ayman Noor; Talal H. Noor; Abhinav Kumar; A. Yvaz (Eng. Appl. Artif. Intell., 2023)

An IoT-Based Energy Conservation Smart Classroom System. - Talal H. Noor; El-Sayed Atlam; Abdulqader M. Almars; Ayman Noor; Amer Malki (Intell. Autom. Soft Comput., 2023)

Traffic management approaches using machine learning and deep learning techniques: A survey. - Hanan Almukhalfi; Ayman Noor; Talal H. Noor (Eng. Appl. Artif. Intell., 2024)

Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model. - Talal H. Noor; Ayman Noor; Ahmed F. Alharbi; Ahmed Faisal; Rakan Alrashidi; Ahmed S. Alsaedi; Ghada Alharbi; Tawfeeq Alsanoosy; Abdullah Alsaeedi (Sensors, 2024)