Blar i NTNU Open på forfatter "Hassan, Muhammad Umair"
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A Comparative study of model performance on multiple systems for real-time object detection.
Stava, Magnus (Master thesis, 2023)Med utviklingen av smarte byer, har forskere undersøkt hvordan bruken av data kan gjøre by forvaltningen mer effektiv og forbedre livskvaliteten for innbyggerne i byen. I smarte byer må datainnsamlingen foregå i sanntid ... -
A Comprehensive Study of HBase Storage Architecture—A Systematic Literature Review
Hassan, Muhammad Umair; Yaqoob, Irfan; Zulfiqar, Sidra; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2021)According to research, generally, 2.5 quintillion bytes of data are produced every day. About 90% of the world’s data has been produced in the last two years alone. The amount of data is increasing immensely. There is a ... -
Deep Privacy based Face Anonymization for Smart Cities
Hassan, Muhammad Umair; Stava, Magnus; Hameed, Ibrahim A (Journal article, 2023)Interest in privacy has increased due to the public’s increased attention given to it by the introduction of the EU’s GDPR. The number of images containing identifiable features has multiplied dramatically in an increasingly ... -
Digital Twins for Lighting Analysis: Literature Review, Challenges, and Research Opportunities
Hassan, Muhammad Umair; Angelaki, Stavroula; Alfaro, Claudia Viviana Lopez; Major, Pierre; Styve, Arne; Alaliyat, Saleh Abdel-Afou; Hameed, Ibrahim A.; Besenecker, Ute; Torres, Ricardo da Silva (Chapter, 2022)Light modelling, simulation, and photometric calculations are by now common tasks in the lighting design process. These practices contribute to the definition and comparison of suitable layout arrangements and help predict ... -
Efficient Trajectory Clustering with Road Network Constraints Based on Spatiotemporal Buffering
Hussain, Syed Adil; Hassan, Muhammad Umair; Nasar, Wajeeha; Ghorashi, Sara; Jamjoom, Mona M.; Abdel-Aty, Abdel-Haleem; Parveen, Amna; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2023)The analysis of individuals’ movement behaviors is an important area of research in geographic information sciences, with broad applications in smart mobility and transportation systems. Recent advances in information and ... -
Health Management - Anomaly Detection and Classification
Finsveen, Jørgen; Fredriksen, Harald Wangsvik; Haslerud, Even Johan Pereira (Bachelor thesis, 2024)Deteksjon og klassifisering av anomalier er et viktig aspekt innen maskinlæring, spesielt for å forbedre tilstandsovervåkingstjenester i marine fartøyer. Kongsberg Maritime ønsker å utforske implementeringen av disse ... -
Health Monitoring of Air Compressors Using Reconstruction-Based Deep Learning for Anomaly Detection with Increased Transparency
Gribbestad, Magnus; Hassan, Muhammad Umair; Hameed, Ibrahim A.; Sundli, Kelvin (Peer reviewed; Journal article, 2021)Anomaly detection refers to detecting data points, events, or behaviour that do not comply with expected or normal behaviour. For example, a typical problem related to anomaly detection on an industrial level is having ... -
Image generation models from scene graphs and layouts: A comparative analysis
Hassan, Muhammad Umair; Alaliyat, Saleh Abdel-Afou; Hameed, Ibrahim A. (Journal article; Peer reviewed, 2023) -
Leveraging deep learning and big data to enhance computing curriculum for industry-relevant skills: A Norwegian case study
Hassan, Muhammad Umair; Alaliyat, Saleh Abdel-Afou; Sarwar, Raheem; Nawaz, Raheel; Hameed, Ibrahim A (Peer reviewed; Journal article, 2023)Computer science graduates face a massive gap between industry-relevant skills and those learned at school. Industry practitioners often counter a huge challenge when moving from academics to industry, requiring a completely ... -
A novel person re-identification network to address low-resolution problem in smart city context
Yaqoob, Irfan; Hassan, Muhammad Umair; Niu, Dongmei; Zhao, Xiuyang; Hameed, Ibrahim A.; Hassan, Saeed-Ul (Peer reviewed; Journal article, 2023)We argue that accurate person re-identification is a vital problem for urban public monitoring systems in the smart city context. Since images captured from different cameras have arbitrary resolutions resulting in resolution ... -
Predictive Maintenance of Norwegian Road Network Using Deep Learning Models
Hassan, Muhammad Umair; Steinnes, Ole-Martin Hagen; Gustafsson, Eirik Gribbestad; Løken, Sivert; Hameed, Ibrahim A. (Journal article; Peer reviewed, 2023) -
SODRet: Instance retrieval using salient object detection for self-service shopping
Hassan, Muhammad Umair; Zhao, Xiuyang; Sarwar, Raheem; Aljohani, Naif R.; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2024)Self-service shopping technologies have become commonplace in modern society. Although various innovative solutions have been adopted, there is still a gap in providing efficient services to consumers. Recent developments ... -
Transfer Learning for Prognostics and Health Management (PHM) of Marine Air Compressors
Gribbestad, Magnus; Hassan, Muhammad Umair; Abdelfattah Abdelhameed, Ibrahim (Peer reviewed; Journal article, 2021)Prognostics is an engineering discipline focused on predicting the time at which a system or a component will no longer perform its intended function. Due to the requirements of system safety and reliability, the correct ...