• R-PCNN Method to Rapidly Detect Objects on THz Images in Human Body Security Checks 

      Xiao, Hong; Zhang, Rongyue; Wang, Hao; Zhu, Feng; Zhang, Cheng; Dai, Hong-Ning; Zhou, Yubin (Chapter, 2018)
      Terahertz human body security images have low resolution and a low signal-to-noise ratio. In the traditional method, image segmentation, positioning, and identification are applied to detect objects carried by humans in ...
    • R.Graph: A new risk-based causal reasoning and its application to COVID-19 risk analysis 

      Seiti, Hamidreza; Makui, Ahmed; Hafezalkotob, Ashkan; Khalaj, Mehran; Hameed, Ibrahim A. (Journal article; Peer reviewed, 2022)
    • Recommendation System for Immunization Coverage and Monitoring 

      Bhatti, Uzair Aslam; Huang, Mengxing; Wang, Hao; Zhang, Yu; Mehmood, Anum; Wu, Di (Journal article; Peer reviewed, 2017)
      Immunization averts an expected 2 to 3 million deaths every year from diphtheria, tetanus, pertussis (whooping cough), and measles; however, an additional 1.5 million deaths could be avoided if vaccination coverage was ...
    • Redesigning the Point Cloud Acquisition for Sort™ 

      Tynes, Odd Arne Skjeret; Furnes, Pål-André; Melaas, Marius Høyer (Bachelor thesis, 2022)
      Denne bacheloroppgaven er en detaljert forklaring på hvordan bachelorgruppen gikk frem for å redesigne punktsky-anskaffelsen for Solwr's Sort™, en pallsorteringsmaskin designet for logistikkbransjen. Den nåværende ...
    • Reflections on Teaching Electrical and Computer Engineering Courses at the Bachelor Level 

      Osen, Ottar; Bye, Robin Trulssen (Chapter, 2017)
      This paper reflects on a number of observations the authors have made over many years of teaching courses in electrical and computer engineering bachelor programmes. We suggest various methods and tips for improving lectures, ...
    • Region- and layer-specific investigations of the human menisci using SHG imaging and biaxial testing 

      Rasheed, Bismi; Ayyalasomayajula, Venkat Siva Radha Krishna; Schaarschmidt, Ute Alexandra; Vagstad, Terje; Schaathun, Hans Georg (Peer reviewed; Journal article, 2023)
      In this paper, we examine the region- and layer-specific collagen fiber morphology via second harmonic generation (SHG) in combination with planar biaxial tension testing to suggest a structure-based constitutive model for ...
    • Regularized Urdu Speech Recognition with Semi-Supervised Deep Learning 

      Ali Humayun, Mohammad; Hameed, Ibrahim A.; Muslim Shah, Syed; Hassan Khan, Sohaib; Zafar, Irfan; Bin Ahmed, Saad; Shuja, Junaid (Journal article; Peer reviewed, 2019)
      Automatic Speech Recognition, (ASR) has achieved the best results for English, with end-to-end neural network based supervised models. These supervised models need huge amounts of labeled speech data for good generalization, ...
    • Regulation of all-electric crane 

      Mørken,Mathias (Bachelor thesis, 2023)
      This report concerns the development of a regulation program for an all-electric crane. This project is an cooperation with Motus Technology. The final program turned out as expected with good overall structure but has not ...
    • Relationship between maximal aerobic power with aerobic fitness as a function of signal-to-noise ratio 

      Beltrame, Thomas; Gois, Mariana; Hoffmann, Uwe; Koschate, Jessica; Hughson, Richard; Frade, Maria; Linares, Stephanie; Torres, Ricardo Da Silva; Catai, Aparecida (Peer reviewed; Journal article, 2020)
      Efforts to better understand cardiorespiratory health are relevant for the future development of optimized physical activity programs. We aimed to explore the impact of the signal quality on the expected associations between ...
    • Relationship between tropical leaf phenology and ecosystem productivity using phenocameras 

      Alberton, Bruna; Martin, Thomas C. M.; Da Rocha, Humberto R.; Richardson, Andrew D.; Moura, Magna S. B.; Da Silva Torres, Ricardo; Morellato, Leonor Patricia Cerdeira (Peer reviewed; Journal article, 2023)
      Introduction: The interplay of water and light, regarded as the main driver of tropical plant dynamics, determines leaf phenology and ecosystem productivity. Leaf phenology has been discussed as a key variable to explain ...
    • Relative Motion Tracking of Vessels using Multi-Camera Handover and Aruco Markers 

      Drugli, Even; Fjørtoft, Vegard; Hagseth, Kai Julian; Sande, Ole Kristian (Bachelor thesis, 2019)
      Tauetanken hos NTNU, avdeling Ålesund, brukes i hovedsak av studenter i skipsdesign for å teste skrogmodeller, ROVer og andre vannfartøy. Ved undersøkelser av skipsdesign, brukes småskala testing med modeller for å ...
    • Release Note System 

      Randa, Markus; Ous, Lars; Lande Pedersen, Jan Anton (Bachelor thesis, 2020)
      I en bransje der det er høyt fokus på korte leveranser av programvare, er det å dokumentere disse leveransenefortsatt tungvindt manuelt-arbeid. Oppgaven gitt av Cordel beskriver et ønske om et ...
    • Relevant Feedback Based Accurate and Intelligent Retrieval on Capturing User Intention for Personalized Websites 

      Tang, Yayuan; Wang, Hao; Guo, Kehua; Xiao, Yizhe; Chi, Tao (Journal article; Peer reviewed, 2018)
      With the rapid growth of networking, cyber–physical–social systems (CPSSs) provide vast amounts of information. Aimed at the huge and complex data provided by networking, obtaining valuable information to meet precise ...
    • Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach 

      Ren, Lei; Zhao, Li; Hong, Sheng; Zhao, Shiqiang; Wang, Hao; Zhang, Lin (Journal article; Peer reviewed, 2018)
      Accurate prediction of remaining useful life (RUL) of lithium-ion battery plays an increasingly crucial role in the intelligent battery health management systems. The advances in deep learning introduce new data-driven ...
    • Representing Scientific Literature Evolution via Temporal Knowledge Graphs 

      Rossanez, Anderson; Reis, Julio; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      Scientific publications register the current knowledge in a specific domain. As new researches are conducted, knowledge evolves, getting documented in dissertations, theses and articles. In this article, we introduce new ...
    • Research and development in agricultural robotics: A perspective of digital farming 

      R. Shamshiri, Redmond; Weltzien, Cornelia; Hameed, Ibrahim A.; J. Yule, Ian; E. Grift, Tony; Balasundram, Siva K.; Pitonakova, Lenka; Ahmad, Desa; Chowdhary, Girish (Journal article; Peer reviewed, 2018)
      Digital farming is the practice of modern technologies such as sensors, robotics, and data analysis for shifting from tedious operations to continuously automated processes. This paper reviews some of the latest achievements ...
    • A Review of Content-Based and Context-Based Recommendation Systems 

      Javed, Umair; Shaukat, Kamran; Hameed, Ibrahim A.; Iqbal, Farhat; Alam, Talha Mahboob; Luo, Suhuai (Peer reviewed; Journal article, 2021)
      In our work, we have presented two widely used recommendation systems. We have presented a context-aware recommender system to filter the items associated with user’s interests coupled with a context-based recommender ...
    • A Review of Parking Slot Types and their Detection Techniques for Smart Cities 

      Kumar, Kamlesh; Singh, Vijander; Raja, Linesh; Bhagirath, Swami Nisha (Peer reviewed; Journal article, 2023)
      Smart parking system plays a critical role in the overall development of the cities. The capability to precisely detect an open parking space nearby is necessary for autonomous vehicle parking for smart cities. Finding ...
    • A riemannian geometry theory of synergy selection for visually-guided movement 

      Neilson, Peter D.; Neilson, Megan D.; Bye, Robin Trulssen (Journal article; Peer reviewed, 2021)
      Bringing together a Riemannian geometry account of visual space with a complementary account of human movement synergies we present a neurally-feasible computational formulation of visuomotor task performance. This cohesive ...
    • The Riemannian Geometry Theory of Visually-Guided Movement Accounts for Afterimage Illusions and Size Constancy 

      Neilson, Peter D.; Neilson, Megan D.; Bye, Robin Trulssen (Peer reviewed; Journal article, 2022)
      This discussion paper supplements our two theoretical contributions previously published in this journal on the geometric nature of visual space. We first show here how our Riemannian formulation explains the recent ...