2024

• Hassan, Muhammad Umair. (2024) Advancing Digital Twin Creation for Smart Cities: Innovative Approaches in Visual Representation and Simulation. NTNU Open
  Doktorgradsavhandling
• Hassan, Muhammad Umair; Zhao, Xiuyang; Sarwar, Raheem; Aljohani, Naif R.; Hameed, Ibrahim A.. (2024) SODRet: Instance retrieval using salient object detection for self-service shopping. Machine Learning with Applications (MLWA)
  Vitenskapelig artikkel
• Abbas, Syed Konain; Khan, Muhammad Usman Ghani; Zhu, Jia; Sarwar, Raheem; Aljohani, Naif R.; Hameed, Ibrahim A.. (2024) Vision based intelligent traffic light management system using Faster R-CNN. CAAI Transactions on Intelligence Technology
  Vitenskapelig artikkel
• Sarwar, Raheem; An Ha, Le; Teh, Pin Shen; Sabah, Fahad; Nawaz, Raheel; Hameed, Ibrahim A.. (2024) AGI-P: A Gender Identification Framework for Authorship Analysis Using Customized Fine-Tuning of Multilingual Language Model. IEEE Access
  Vitenskapelig artikkel
• Hassan, Muhammad Umair; Alaliyat, Saleh Abdel-Afou; Hameed, Ibrahim A.. (2024) Toward the Creation of a Digital Twin Authoring Tool: A Smart Mobility Perspective in Smart Cities. IEEE Access
  Vitenskapelig artikkel

2023

• Hassan, Muhammad Umair; Stava, Magnus; Hameed, Ibrahim A.. (2023) Deep Privacy based Face Anonymization for Smart Cities. IEEE conference proceedings
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Hassan, Muhammad Umair; Steinnes, Ole-Martin Hagen; Gustafsson, Eirik Gribbestad; Løken, Sivert; Hameed, Ibrahim A.. (2023) Predictive Maintenance of Norwegian Road Network Using Deep Learning Models. Sensors
  Vitenskapelig artikkel
• Hassan, Muhammad Umair; Alaliyat, Saleh Abdel-Afou; Sarwar, Raheem; Nawaz, Raheel; Hameed, Ibrahim A.. (2023) Leveraging deep learning and big data to enhance computing curriculum for industry-relevant skills: A Norwegian case study. Heliyon
  Vitenskapelig artikkel
• Hussain, Syed Adil; Hassan, Muhammad Umair; Nasar, Wajeeha; Ghorashi, Sara; Jamjoom, Mona M.; Abdel-Aty, Abdel-Haleem. (2023) Efficient Trajectory Clustering with Road Network Constraints Based on Spatiotemporal Buffering. ISPRS International Journal of Geo-Information
  Vitenskapelig artikkel
• Hassan, Muhammad Umair; Alaliyat, Saleh Abdel-Afou; Hameed, Ibrahim A.. (2023) Image generation models from scene graphs and layouts: A comparative analysis. Journal of King Saud University - Computer and Information Sciences
  Vitenskapelig artikkel
• Zhang, Mingxuan; Hassan, Muhammad Umair; Niu, Dongmei; Zhao, Xiuyang; Nawaz, Raheel; Hameed, Ibrahim A.. (2023) A methodology for shape matching of non-rigid structures based on integrated graphical information. Displays (Guildford)
  Vitenskapelig artikkel

2022

• Yaqoob, Irfan; Hassan, Muhammad Umair; Niu, Dongmei; Zhao, Xiuyang; Hameed, Ibrahim A.; Hassan, Saeed-Ul. (2022) A novel person re-identification network to address low-resolution problem in smart city context. ICT Express
  Vitenskapelig artikkel
• Hassan, Muhammad Umair; Angelaki, Stavroula; Alfaro, Claudia Viviana Lopez; Major, Pierre; Styve, Arne; Alaliyat, Saleh Abdel-Afou. (2022) Digital Twins for Lighting Analysis: Literature Review, Challenges, and Research Opportunities. ECMS European Council for Modelling and Simulation
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Hassan, Muhammad Umair; Niu, Dongmei; Zhang, Mingxuan; Zhao, Xiuyang. (2022) Asymmetric hashing based on generative adversarial network. Multimedia Tools and Applications
  Vitenskapelig artikkel

2021

• Gribbestad, Magnus; Hassan, Muhammad Umair; Abdelfattah Abdelhameed, Ibrahim. (2021) Transfer Learning for Prognostics and Health Management (PHM) of Marine Air Compressors. Journal of Marine Science and Engineering (JMSE)
  Vitenskapelig artikkel
• Hassan, Muhammad Umair; Yaqoob, Irfan; Zulfiqar, Sidra; Hameed, Ibrahim A.. (2021) A Comprehensive Study of HBase Storage Architecture—A Systematic Literature Review. Symmetry
  Vitenskapelig artikkel
• Gribbestad, Magnus; Hassan, Muhammad Umair; Hameed, Ibrahim A.; Sundli, Kelvin. (2021) Health Monitoring of Air Compressors Using Reconstruction-Based Deep Learning for Anomaly Detection with Increased Transparency. Entropy
  Vitenskapelig artikkel