Nye registreringer

  • Web-based Scalable Visual Exploration of Large Multidimensional Data Using Human-in-the-Loop Edge Bundling in Parallel Coordinates 

    Cui, Wenqiang; Strazdins, Girts; Wang, Hao (Peer reviewed; Journal article, 2020)
    Visual clutter and overplotting are the main challenges for visualizing large multidimensional data in parallel coordinates, which greatly hampers the recognition of patterns in the data. Although many automatic clustering ...
  • 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 ...
  • 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 ...
  • Vico: An entity-component-system based co-simulation framework 

    Hatledal, Lars Ivar; Chu, Yingguang; Styve, Arne; Zhang, Houxiang (Peer reviewed; Journal article, 2020)
    This paper introduces a novel co-simulation framework running on the Java Virtual Machine built on a software architecture known as the Entity-Component-System. Popularised by games, this architecture favours composition ...
  • What is Core and What Future Holds for Blockchain Technologies and Cryptocurrencies: A Bibliometric Analysis 

    Nasir, Adeel; Shaukat, Kamran; Khan, Kanwal Iqbal; Hameed, Ibrahim A.; Mahboob, Talha; Luo, Suhuai (Peer reviewed; Journal article, 2020)
    A new era awaits the development of cryptocurrency and blockchain technologies. This study highlights the influential and conceptual aspects of blockchain and cryptocurrency literature with bibliometric analysis. There are ...
  • 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 ...
  • Accuracy and limitations for spectroscopic prediction of leaf traits in seasonally dry tropical environments 

    Streher, Annia; Torres, Ricardo Da Silva; Leonor, Morellato; Thiago, Silva (Peer reviewed; Journal article, 2020)
    Generalized assessments of the accuracy of spectroscopic estimates of ecologically important leaf traits such as leaf mass per area (LMA) and leaf dry matter content (LDMC) are still lacking for most ecosystems, and ...
  • Hospital project front-end planning: Current practice and discovered challenges 

    Larsen, Anne Strand Alfredsen; Karlsen, Anniken Th; Andersen, Bjørn Sørskot (Peer reviewed; Journal article, 2020)
    Development of healthcare services is a societal responsibility often appearing as major public projects. These types of projects often have a long lifetime expectancy and represent large investments and changes to established ...
  • Co-simulation as a Fundamental Technology for Twin Ships 

    Hatledal, Lars Ivar; Skulstad, Robert; Li, Guoyuan; Styve, Arne; Zhang, Houxiang (Peer reviewed; Journal article, 2020)
    The concept of digital twins, characterized by the high fidelity with which they mimic their physical counterpart, provide potential benefits for the next generation of advanced ships. It allows analysis of data and ...
  • Nonlinear Model Predictive Growth Control of a Class of Plant-Inspired Soft Growing Robots 

    El-Hussieny, Haitham; Hameed, Ibrahim A.; Ryu, Jee-Hwan (Peer reviewed; Journal article, 2020)
    Recently, researchers have shown an increased interest in considering plants as a model of inspiration for designing new robot locomotions. Growing robots, that imitate the biological growth presented by plants, have proved ...
  • A Comprehensive Dataset for Bibliometric Analysis of SARS and Coronavirus Impact on Social Sciences 

    Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Luo, Suhuai; Li, Jiaming; Aujla, Gagandeep Kaur; Iqbal, Farhat (Peer reviewed; Journal article, 2020)
    The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically, physically, and mentally. This dataset is a collection of published ...
  • Pelee-Text++: A Tiny Neural Network for Scene Text Detection 

    Cordova, Manuel; Pinto, Allan; Pedrini, Helio; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2020)
    Scene text detection has become an important field in the computer vision area due to the increasing number of applications. This is a very challenging problem as textual elements are commonly found in “noisy” and complex ...
  • Exploring the determinants of success in different clusters of ball possession sequences in soccer 

    Merlim, Murilo; Cunha, Sergio; Moura, Felipe; Torres, Ricardo Da Silva; Gonçalves, Bruno; Sampaio, Jaime (Peer reviewed; Journal article, 2020)
    The purpose of this study was two-step: (1) classify ball possession (BP) according to the duration and number of passes and (2) identify which tactical variables most discriminate the different BP. We obtained 527 BPs ...
  • Neural relational inference for disaster multimedia retrieval 

    Fadel, Samuel G.; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
    Events around the world are increasingly documented on social media, especially by the people experiencing them, as these platforms become more popular over time. As a consequence, social media turns into a valuable source ...
  • 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 ...
  • KGen: a knowledge graph generator from biomedical scientific literature 

    Rossanez, Anderson; Reis, Julio; Torres, Ricardo Da Silva; Ribaupierre, Hélène (Peer reviewed; Journal article, 2020)
    Background Knowledge is often produced from data generated in scientific investigations. An ever-growing number of scientific studies in several domains result into a massive amount of data, from which obtaining new ...
  • A Flexible Network Interface for a Real-time Simulation Framework 

    Hatledal, Lars Ivar (Master thesis, 2017)
    This thesis presents a flexible network interface for the real-time simulation framework, Vico. In particular, the interface allows remote clients to connect to simulations over the network using a variety of transport ...
  • A Novel Ensemble Representation Framework for Sentiment Classification 

    Sun, Mengtao; Hameed, Ibrahim A.; Wang, Hao (Chapter, 2020)
    Text representation has a critical impact on the accuracy of text classifiers which is imperative to be strengthened. On the other hand, the question of how the state-of-the-art embeddings outperform previous approaches ...
  • A Dynamic Three-Bit Image Steganography Algorithm for Medical and e-Healthcare Systems 

    Siddiqui, Ghazanfar Farooq; Iqbal, Zafar; Saleem, Khalid; Saeed, Zafar; Ahmed, Adeel; Hameed, Ibrahim A.; Khan, Muhammad Fahad (Peer reviewed; Journal article, 2020)
    Massive advances in internet infrastructure are impacting e-healthcare services compared to conventional means. Therefore, extra care and protection is needed for extremely confidential patient medical records. With this ...
  • Applying Deep Learning Technique for Depression Classification in Social Media Text 

    Ahmad, Hussain; Asgha, Muhammad Zubair; Alotaibi, Fahad M.; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2020)
    In social media, depression identification could be regarded as a complex task because of the complicated nature associated with mental disorders. In recent times, there has been an evolution in this research area with ...

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