Blar i NTNU Open på forfatter "Hameed, Ibrahim A."

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    • Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience 

      Bin Ahmed, Saad; Hameed, Ibrahim A.; Naz, Saeeda; Imran Razzak, Muhammad; Yusof, Rubiyah (Journal article; Peer reviewed, 2019)
      The similar nature of patterns may enhance the learning if the experience they attained during training is utilized to achieve maximum accuracy. This paper presents a novel way to exploit the transfer learning experience ...

    • An expert system for systematic international market selection 

      Grimstad, Siv Marina Flø; Glavee-Geo, Richard; Soufiane, Abeddaa; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2022)
      We tested and examined the use of systematic international market selection (IMS) in the case of a library software/automation provider in a Nordic country. The purpose of our study was to investigate how the case company ...

    • Fine-Grained Sentiment Analysis for Measuring Customer Satisfaction Using an Extended Set of Fuzzy Linguistic Hedges 

      Khattak, Asad; Paracha, Waqas Tariq; Asghar, Muhammad Zubair; Jillani, Nosheen; Younis, Umair; Saddozai, Furqan Khan; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2020)
      In recent years, the boom in social media sites such as Facebook and Twitter has brought people together for the sharing of opinions, sentiments, emotions, and experiences about products, events, politics, and other topics. ...

    • FPGA in the loop implementation of the PUMA 560 robot based on backstepping control 

      Fekik, Arezki; Khati, Hocine; Azar, Ahmad Taher; Hamida, Mohamed Lamine; Denoun, Hakim; Hameed, Ibrahim A.; Kamal, Nashwa Ahmad (Journal article; Peer reviewed, 2023)
      The objective of this article is to present the implementation of a backstepping control regulator on a Xilinx Zedboard Zynq FPGA using the HDL Coder tool through the FPGA in-the-loop option, and to study its effectiveness ...

    • Fundamental Research on Unmanned Aerial Vehicles to Support Precision Agriculture in Oil Palm Plantations 

      Shamshiri, Redmond Ramin; Hameed, Ibrahim A.; Balasundram, Siva K.; Ahmad, Desa; Weltzien, Cornelia; Yamin, Muhammad (Chapter, 2019)
      Unmanned aerial vehicles carrying multimodal sensors for precision agriculture (PA) applications face adaptation challenges to satisfy reliability, accuracy, and timeliness. Unlike ground platforms, UAV/drones are subjected ...

    • 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 ...

    • Heuristic Techniques for Reducing Energy Consumption of Household 

      Daragmeh, Sarah M A; Karlsen, Anniken Th; Hameed, Ibrahim A. (Chapter, 2022)
      Efficient energy demand management plays an essential role in smart grid, sustainable and smart cities applications and efforts to reduce CO2 emissions. In this paper, we propose a framework for describing the household ...

    • A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning 

      Batool, Dania; Shahbaz, Muhammad; Shahzad Asif, Hafiz; Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Ramzan, Zeeshan; Waheed, Abdul; Aljuaid, Hanan; Luo, Suhuai (Peer reviewed; Journal article, 2022)
      Tea (Camellia sinensis L.) is one of the most highly consumed beverages globally after water. Several countries import large quantities of tea from other countries to meet domestic needs. Therefore, accurate and timely ...

    • Hybrid Words Representation for Airlines Sentiment Analysis 

      Naseem, Usman; Khan, Shah K.; Razzak, Imran; Hameed, Ibrahim A. (Chapter, 2019)
      Social media sentimental analysis is interesting field with the aim to analyze social conservation and determine deeper context as they apply to a topic or theme. However, it is challenging as tweets are unstructured, ...

    • 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)

    • Improved Twofish Algorithm: A Digital Image Enciphering Application 

      Haq, Tanveer Ul; Shah, Tariq; Siddiqui, Ghazanfar Farooq; Iqbal, Muhammad Zafar; Hameed, Ibrahim A.; Jamil, Huma (Peer reviewed; Journal article, 2021)
      With the growth of networks, the Internet of Things (IoT) and new cyber attacks pose threats to privacy and security, secure communication is therefore becoming one of the most crucial concerns. For this purpose, symmetric ...

    • Interactivity and automation of Pepper the humanoid robot 

      Bigseth, Gustav Strengen (Bachelor thesis, 2021)
      Denne raporten er om den fortsettelse på utviklingen av programvare for den humanoide sosiale roboten Pepper utviklet av Foxconn og SoftBank Robotics tidligere kjent som Aldebaran Robotics. Denne oppgaven ble gitt som en ...

    • Interval Observers for Discrete-Time Linear Systems with Uncertainties 

      Sergiyenko, Oleg; Zhirabok, Alexey; Ibraheem, Ibraheem Kasim; Zuev, Alexander; Filaretov, Vladimir; Azar, Ahmad Taher; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2022)
      In this paper, we consider the problem involved when designing the interval observer for the system described by a linear discrete-time model under external disturbances and measurement noises. To solve this problem, we ...

    • An investigation of contemporary data-driven methods applied to complex systems 

      Dwivedi, Saumitra; Torres, Ricardo; Hameed, Ibrahim A.; Karlsen, Anniken Th (Peer reviewed; Journal article, 2022)
      Understanding complex systems by the help of modeling, simulation, and control is a well-known challenge across several application domains. As such, these type of systems are not amenable to empirical models, typically ...

    • An Investigation of Credit Card Default Prediction in the Imbalanced Datasets 

      Alam, Talha M.; Shaukat, Kamran; Hameed, Ibrahim A.; Luo, Suhuai; Sarwar, Muhammad U.; Shabir, Shakir; Li, Jiaming; Khushi, Matloob (Peer reviewed; Journal article, 2020)
      Financial threats are displaying a trend about the credit risk of commercial banks as the incredible improvement in the financial industry has arisen. In this way, one of the biggest threats faces by commercial banks is ...

    • Learning the Morphological and Syntactic Grammars for Named Entity Recognition 

      Sun, Mengtao; Yang, Qiang; Wang, Hao; Pasquine, Mark; Hameed, Ibrahim A. (Journal article; Peer reviewed, 2022)
      In some languages, Named Entity Recognition (NER) is severely hindered by complex linguistic structures, such as inflection, that will confuse the data-driven models when perceiving the word’s actual meaning. This work ...

    • Leveraging deep learning and big data to enhance computing curriculum for industry-relevant skills: A Norwegian case study 

      Muhammad, Umair Hassan; Saleh, A.; Raheem, Sawar; Raheel, Nawaz; Hameed, Ibrahim A. (Journal article; Peer reviewed, 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 ...

    • Litter Detection with Deep Learning: A Comparative Study 

      Cordova, Manuel; Pinto, Allan; Hellevik, Christina Carrozzo; Alaliyat, Saleh Abdel-Afou; Hameed, Ibrahim A.; Pedrini, Helio; Torres, Ricardo da S. (Peer reviewed; Journal article, 2022)
      Pollution in the form of litter in the natural environment is one of the great challenges of our times. Automated litter detection can help assess waste occurrences in the environment. Different machine learning solutions ...

    • Load Frequency Control and Automatic Voltage Regulation in a Multi-Area Interconnected Power System Using Nature-Inspired Computation-Based Control Methodology 

      Ali, Tayyab; Malik, Suheel Abdullah; Hameed, Ibrahim A.; Daraz, Amil; Mujlid, Hana; Azar, Ahmad Taher (Peer reviewed; Journal article, 2022)
      The stability control of nominal frequency and terminal voltage in an interconnected power system (IPS) is always a challenging task for researchers. The load variation or any disturbance affects the active and reactive ...

    • A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism 

      Ashfaq, Tehreem; Khalid, Rabiya; Yahaya, Adamu Sani; Aslam, Sheraz; Azar, Ahmad Taher; Alsafari, Safa; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2022)
      In this paper, we address the problems of fraud and anomalies in the Bitcoin network. These are common problems in e-banking and online transactions. However, as the financial sector evolves, so do the methods for fraud ...