Browsing Publikasjoner fra CRIStin - NTNU by Title

Now showing items 22533-22552 of 37533

    • Multi-Resolution Explicit Model Predictive Control: Delta-Model Formulation and Approximation 

      Bayat, Farhad; Johansen, Tor Arne (Journal article; Peer reviewed, 2013)
      This paper deals with the explicit solution and approximation of the constrained linear finite time optimal control problem for systems with fast sampling rates. To this aim, the recently developed explicit model predictive ...

    • Multi-Row Adjoint-Based Optimization of NICFD Turbomachinery Using a CAD-Based Parametrization 

      Agromayor, Roberto; Anand, Nitish; Pini, Matteo; Nord, Lars O. (Journal article, 2021)
      Currently, most of the adjoint-based design systems documented in the open literature assume that the fluid behaves as an ideal gas, are restricted to the optimization of a single row of blades, or are not suited to impose ...

    • Multi-Scale Entropy Analysis as a Method for Time-Series Analysis of Climate Data 

      Balzter, Heiko; Tate, Nicholas; Kaduk, Jörg; Harper, David; Page, Susan; Morrison, Ross; Muskulus, Michael; Jones, Phil Douglas (Journal article; Peer reviewed, 2015)
      Evidence is mounting that the temporal dynamics of the climate system are changing at the same time as the average global temperature is increasing due to multiple climate forcings. A large number of extreme weather events ...

    • Multi-Scale Feature Pair Based R-CNN Method for Defect Detection 

      Huang, Zihao; Xiao, Hong; Zhang, Rongyue; Wang, Hao; Zhang, Cheng; Shi, Xiucong (Chapter, 2019)
      The traditional defect detection algorithms based on image registration, image contrast and other image processing algorithms are only limited to a single defect. Though deep-learning-based object detection algorithms can ...

    • Multi-scale Painter Classification 

      Ciortan, Irina-Mihaela; Arteaga, Yoko; George, Sony; Hardeberg, Jon Yngve (Chapter, 2022)
      The characterization of a painter’s style is useful for a series of applications, such as documenting art history, planning style-aware conservation and restoration, and discarding forgery attempts. In this work, we propose ...

    • Multi-scale Quantitative Risk Analysis of Seabed Minerals: Principles and Application to Seafloor Massive Sulfide Prospects 

      Juliani, Cyril Jerome; Ellefmo, Steinar Løve (Journal article; Peer reviewed, 2018)
      The potential for mining hydrothermal mineral deposits on the seafloor, such as seafloor massive sulfides, has become technically possible, and some companies (currently not many) are considering their exploration and ...

    • Multi-scale strategy to estimate the mechanical and diffusive properties of cementitious materials prepared with CEM II/C-M 

      Gu, Yushan; Bary, Benoît; Machner, Alisa; De Weerdt, Klaartje; Bolte, Gerd; Ben Haha, Mohsen (Peer reviewed; Journal article, 2022)
      A procedure to estimate the mechanical and diffusive properties of cement pastes, mortars and concretes made with a novel CEM II/C-M (S-LL) binder that has been developed within the European EnDurCrete project, is presented ...

    • Multi-sector partnerships in the urban development context: A scoping review 

      Xue, Yan; Temeljotov Salaj, Alenka; Engebø, Atle; Lohne, Jardar (Peer reviewed; Journal article, 2020)
      The existing research on urban development has gradually changed from policy-led management to multi-sector participation in co-design, aiming to create a more livable urban ecosystem. The goal of this paper is to identify ...

    • Multi-Segment TFT Compact Model for THz Applications 

      Liu, Xueqing; Ytterdal, Trond; Shur, Michael S. (Peer reviewed; Journal article, 2022)
      We present an update of the Rensselaer Polytechnic Institute (RPI) thin-film transistor (TFT) compact model. The updated model implemented in Simulation Program with Integrated Circuit Emphasis (SPICE) accounts for the ...

    • Multi-sensor InSAR analysis of surface displacement over coastal urban city of Trondheim 

      Shamshiri, Roghayeh; Nahavandchi, Hossein; Motagh, Mahdi; Haghshenas, Mahmud (Peer reviewed; Journal article, 2016)
      In this study, we present maps of ground surface displacement of the coastal urban city of Trondheim in central Norway using observations from interferometry synthetic aperture radar (InSAR). We used 98 SAR images including ...

    • A multi-sensor wearable system for the assessment of diseased gait in real-world conditions 

      Salis, Francesca; Bertuletti, Stefano; Bonci, Tecla; Caruso, Marco; Scott, Kirsty; Alcock, Lisa; Buckley, Ellen; Gazit, Eran; Hansen, Clint; Schwickert, Lars; Aminian, Kamiar; Becker, Clemens; Brown, Philip; Carsin, Anne-Elie; Caulfield, Brian; Chiari, Lorenzo; D’Ascanio, Ilaria; Del Din, Silvia; Eskofier, Bjoern M.; Garcia-Aymerich, Judith; Hausdorff, Jeffrey M.; Hume, Emily C.; Kirk, Cameron; Kluge, Felix; Koch, Sarah; Kuederle, Arne; Maetzler, Walter; Micó-Amigo, Encarna M.; Mueller, Arne; Neatrour, Isabel; Paraschiv-Ionescu, Anisoara; Palmerini, Luca; Yarnall, Alison J.; Rochester, Lynn; Sharrack, Basil; Singleton, David; Vereijken, Beatrix; Vogiatzis, Ioannis; Della Croce, Ugo; Mazzà, Claudia; Cereatti, Andrea (Peer reviewed; Journal article, 2023)
      Introduction: Accurately assessing people’s gait, especially in real-world conditions and in case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in gait complexity. To improve ...

    • Multi-ship collision avoidance control strategy in close-quarters situations: a case study of Dover Strait ferry maneuvering 

      Zhao, Luman; Li, Guoyuan; Zhang, Houxiang (Chapter, 2020)
      Multi-ship collision avoidance is challenging in busy waters like the Dover Strait. Usually, ships follow the rules for avoiding collisions which are given by the Convention on the International Regulations for Preventing ...

    • Multi-source entity-based conflation for local search 

      Ahlers, Dirk (Peer reviewed; Journal article, 2012)
      Local search is a well-established mode of Web search engines today. For most developed countries, a huge amount of data is directly available on the Web and can be extracted and processed by search engines. In many ...

    • A multi-stakeholder perspective on inclusion in higher education: Ruling on fragile ground 

      Ristad, Tone Mari Teigmo; Østvik, Jørn; Horghagen, Sissel; Kvam, Lisbeth; Witsø, Aud Elisabeth (Peer reviewed; Journal article, 2023)
      In higher education, there is a lack of consistent provision for the needs of students with disabilities. This study explores the decision-making processes that lead professionals to either take or avoid inclusive actions, ...

    • Multi-stakeholder perspective to generate evidence and strategies for sustainable management of ropes from the fishing sector of Norway. 

      Deshpande, Paritosh Chakor; Muntaha, Sidra Tul; Alnes, Ragnhild Bjerkvik (Peer reviewed; Journal article, 2023)

    • A multi-start route improving matheuristic for the production routing problem 

      Vadseth, Simen Tung; Andersson, Henrik; Stålhane, Magnus; Chitsaz, Masoud (Peer reviewed; Journal article, 2023)
      This paper considers the multi-vehicle production routeing problem with a maximum-level replenishment policy. This is a well-established problem within vendor managed inventory where production, inventory and routeing ...

    • Multi-step Ship Roll Motion Prediction Based on Bi-LSTM and Input Optimization 

      Li, Shiyang; Wang, Tongtong; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang (Chapter, 2023)
      Ship roll is a crucial metric in assessing the vessel's safety in offshore operations. This paper investigates input selection for predicting short-term ship roll motion using the Bidirectional Long Short-Term Memory Network ...

    • Multi-step-ahead forecasting of wave conditions based on a physics-based machine learning (PBML) model for marine operations 

      Wu, Mengning; Stefanakos, Christos; Gao, Zhen (Peer reviewed; Journal article, 2020)
      Short-term wave forecasts are essential for the execution of marine operations. In this paper, an efficient and reliable physics-based machine learning (PBML) model is proposed to realize the multi-step-ahead forecasting ...

    • A Multi-Stream Sequence Learning Framework for Human Interaction Recognition 

      Haroon, Umair; Ullah, Amin; Hussain, Tanveer; Ullah, Waseem; Sajjad, Muhammad; Muhammad, Khan; Lee, Mi Young; Baik, Sung Wook (Peer reviewed; Journal article, 2022)
      Human interaction recognition (HIR) is challenging due to multiple humans’ involvement and their mutual interaction in a single frame, generated from their movements. Mainstream literature is based on three-dimensional ...

    • A multi-surface interface model for sequentially linear methods to analyse masonry structures 

      Pari, Manimaran; Van de Graaf, de; Hendriks, Max; Rots, Jan G. (Peer reviewed; Journal article, 2021)
      In the finite element modelling of masonry structures, the micro-modelling technique of differentiating the continuum into a linear elastic bulk, and interfaces representing non-linear joints is common. However, this ...