Viser treff 21-40 av 267

    • 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 ...
    • On the Fusion of Text Detection Results: A Genetic Programming Approach 

      Campana, Jose; Pinto, Allan; Neira, Manuel; Decker, Luis; Santos, Andreza; Conceição, Jhonatas; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      Hundreds of text detection methods have been proposed, motivated by their widespread use in several applications. Despite the huge progress in the area, which includes even the use of sophisticated learning schemes, ad-hoc ...
    • A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure 

      Nasir, Adeel; Shaukat, Kamran; Hameed, Ibrahim A.; Luo, Suhuai; Mahboob, Talha; Iqbal, Farhat (Peer reviewed; Journal article, 2020)
      Corona pandemic has affected the whole world, and it is a highly researched area in biological sciences. As the current pandemic has affected countries socially and economically, the purpose of this bibliometric analysis ...
    • A Change-Driven Image Foveation Approach for Tracking Plant Phenology 

      Silva, Ewerton; Torres, Ricardo Da Silva; Bruna, Alberton; Leonor, Morellato; Thiago, Silva (Peer reviewed; Journal article, 2020)
      One of the challenges in remote phenology studies lies in how to efficiently manage large volumes of data obtained as long-term sequences of high-resolution images. A promising approach is known as image foveation, which ...
    • 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. ...
    • Digital Kompetanse i Barneskulane i Giske 

      Schaathun, Hans Georg; Mustafa, Ghulam; Glavee-Geo, Richard (Research report, 2020)
    • A Soft Computing Approach for Selecting and Combining Spectral Bands 

      Albarracin, Juan; Oliveira, Rafael S; Hirota, Marina; Santos, Jefersson; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      We introduce a soft computing approach for automatically selecting and combining indices from remote sensing multispectral images that can be used for classification tasks. The proposed approach is based on a Genetic-Programming ...
    • Corresponding Assessment Scenarios in Laboratory and On-Court Tests: Centrality Measurements by Complex Networks Analysis in Young Basketball Players 

      Gobatto, Claudio; Torres, Ricardo Da Silva; Moura, Felipe; Cunha, Sergio; Giacometti, Caio; Araujo, Gustavo; Sousa, Filipe; Manchado-Gobatto, Fúlvia (Peer reviewed; Journal article, 2020)
      Besides technical and tactical aspects, basketball matches involve high aerobic and anaerobic capacities, conferring the final performance of a team. Thus, the evaluation of physical and technical responses is an effective ...