Nye registreringer

  • Correlating organic carbon burial with regional climate variability: the past two centuries tale from Sermilik fjord, Southeast Greenland 

    Simmons, Luke Jonathan; Mohamed, Mohamed Mahmoud Ezat Ahmed; Andresen, Camilla S.; Mollenhauer, Gesine; Knies, Jochen Manfred (Conference object; Konferansebidrag, 2025-02-28)
    As the Arctic undergoes ‘Atlantification’ and warms at a faster rate than lower latitudes, dramatic physical and biological changes are occurring in the ocean, atmosphere and cryosphere systems. This project focusses on fjord environments connected to the Greenland Ice Sheet, which has recently experienced a significant and rapid loss of ice attributed primarily to changes in the surface mass balance ...
  • Investigating Carbon, Nutrient and Methane Dynamics in Proglacial Lakes: Study Design and Objectives for the Southwestern Greenland Campaign 

    van Genuchten, Joost Martijn; Lamarche-Gagnon, Guillaume; Schomacker, Anders; Hawkings, Jonathan Robert (Conference object; Konferansebidrag, 2025-02-28)
    Methane, a potent greenhouse gas, is increasingly recognized to be emitted from newly deglaciated environments, particularly in the Arctic, yet due to data scarcity these sources remain underrepresented in global methane budgets. Deglaciation leads to the expansion of proglacial terrains, driving the formation of an increasing number of proglacial lakes worldwide, especially in Greenland. Small to ...
  • Constraining the Gas Hydrates Stability Zone beneath the Antarctic Ice Sheet from 40 Ma to the year 3000 

    Babut du Marès, Emeric Marie A.; De La Fuente, Maria; Wadham, Jemma Louise; Langebroek, Petra Margaretha; Patton, Henry Jared; Arndt, Sandra (Conference object; Konferansebidrag, 2025-02-28)
    The Antarctic Ice Sheet (AIS) is one of the climate tipping elements on Earth and the largest potential contributor to sea level rise. While the consequences of ice sheet collapse on oceanic and atmospheric changes are well documented, its impact on the global carbon cycle remains critically ignored in the current global carbon budget. This is particularly important because the Antarctic Sedimentary ...
  • Diatom distribution and long-term survival in a heavily polluted sediment core from the Bay of Bagnoli (Tyrrhenian Sea, Italy) 

    Pelusi, Angela; Romero Martínez, María Lorena; Mule, Apurva; Scalco, Eleonora; Barrenechea Angeles, Inés; Piredda, Roberta; Kooistra, Wiebe H.C.F.; Montresor, Marina; Sarno, Diana (Journal article; Tidsskriftartikkel; Peer reviewed, 2025-01-18)
    Diatom resting stages can remain viable in sediments for decades and germinate when exposed to suitable environmental conditions, inoculating the water column and the surface sediments with new populations of cells. Classical methods, based on acid-cleaning of diatom frustules in sediment samples, do not discriminate between living and dead cells and may destroy the more fragile taxa. We used a ...
  • Integrating Emerging Technologies into Education and Training: Proceedings of the 2nd ETELT 2024 Workshop 

    Kim, Tae Eun; Milrad, Marcelo; Remolar, Inmaculada (Research report; Forskningsrapport, 2025)
    This open access book compiles state-of-the-art research on the development and implementation of advanced learning technologies and AI-assisted tools, showing how they can transform the educational landscape and learning processes in various domains. Covering topics ranging from immersive learning environments to personalized education, it offers insights and practical applications that are shaping ...
  • Reconstructing historical climate fields with deep learning 

    Bochow, Nils; Poltronieri, Anna; Rypdal, Martin; Boers, Niklas (Journal article; Tidsskriftartikkel; Peer reviewed, 2025-04-02)
    Historical records of climate fields are often sparse because of missing measurements, especially before the introduction of large-scale satellite missions. Several statistical and model-based methods have been introduced to fill gaps and reconstruct historical records. Here, we use a recently introduced deep learning approach based on Fourier convolutions, trained on numerical climate model output, ...
  • Studenter med undervisningsoppgaver: opplevelser, utfordringer og oppfølging 

    Beerepoot, Maarten; Pedersen, Ida Friestad; Huru, Hilja Lisa; Malyutina, Elena (Chapter; Bokkapittel, 2024-11-21)
    Learning assistants are assigned a diverse set of tasks in the Norwegian higher educational system, particularly in facilitating student-centered teaching in the natural sciences. The present work is an investigation into the experiences of learning assistants in science at a Norwegian university through a thematic analysis of ten interviews with undergraduate and graduate learning assistants. The ...
  • Categorization of phenotype trajectories utilizing transformers on clinical time-series 

    Fredriksen, Helge Ingvart; Burman, Per Joel Burman; Woldaregay, Ashenafi Zebene; Mikalsen, Karl Øyvind; Nymo, Ståle Haugset (Chapter; Bokkapittel, 2024-09-11)
    Patients being admitted to a hospital will most often be associated with a certain clinical development during their stay. However, there is always a risk of patients being subject to the wrong diagnosis or to a certain treatment not pertaining to the desired effect, potentially leading to adverse events. Thus, there is a need to develop an anomaly detection system for deviations from expected ...
  • Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge 

    Ali, Sharib; Ghatwary, Noha; Jha, Debesh; Isik-Polat, Ece; Polat, Gorkem; Yang, Cheng; Li, Wuyang; Galdran, Adrian; Ballester, Miguel Angel Gonzalez; Thambawita, Vajira L B; Hicks, Steven; Poudel, Sahadev; Lee, Sang-Woong; Jin, Ziyi; Gan, Tianyuan; Yu, Chenghui; Yan, JiangPeng; Yeo, Doyeob; Lee, Hyunseok Lee; Tomar, Nikhil Kumar; Haitham, Mahmood; Ahmed, Amr; Riegler, Michael Alexander; Daul, Christian; Halvorsen, Pål; Rittscher, Jens; Salem, Osama E.; Lamarque, Dominique; Cannizzaro, Renato; Realdon, Stefano; de Lange, Thomas; East, James E (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-23)
    Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal of polyps are highly operator-dependent procedures and occur in a highly complex organ topology. There exists a high missed detection rate and incomplete removal of colonic polyps. To ...
  • PSAIR: A Neuro-Symbolic Approach to Zero-Shot Visual Grounding 

    Pan, Yi; Zhang, Yujia; Kampffmeyer, Michael Christian; Zhao, Xiaoguang (Chapter; Bokkapittel, 2024-09-09)
    Supervised methods for Visual Grounding often require costly annotations of paired sentences and images with ground truth boxes. Recent zero-shot approaches to visual grounding such as ReCLIP and ChatRef aim to avoid the need for costly annotation of paired sentences and images with ground truth boxes. However, these approaches leverage an inflexible detect-then-reasoning paradigm, which leads to a ...
  • Multi-modal data analysis for enhanced nautical skill development 

    Xue, Helene; Kim, Tae Eun; Grundmann, Robert (Chapter; Bokkapittel, 2024)
    This paper explores the innovative application of multi-modal data analysis for nautical skill development process. By examining the potential of integrating diverse data sources e.g., ship motion, visual, auditory and sensor data, the possibility of obtaining performance insights could be enhanced, and the decision-making processes in complex navigational environments can be made more transparent. ...
  • Reinforcement Learning for Fishing Route Planning and Optimization 

    Zhu, Tiantian; Naseri, Masoud; Dhar, Sushmit; Ashrafi, Behrooz (Chapter; Bokkapittel, 2024-08-09)
    Pelagic fishing is one of the primary economic activities in the Arctic, especially in the Barents Sea region. Optimizing fishing vessel voyage planning is a feasible avenue for enhancing efficiency, profitability, and sustainability while mitigating accidental risks posed by adverse weather conditions and reducing environmental impact through decreased fuel consumption. Currently, fishing voyage ...
  • GridWatch: A Smart Network for Smart Grid 

    Hemmatpour, Masoud; Zheng, Changgang; Zilberman, Noa; Ha, Hoai Phuong (Chapter; Bokkapittel, 2024-11-04)
    The adoption of decentralized energy market models facilitates the exchange of surplus power among local nodes in peer-to-peer settings. However, decentralized energy transactions within untrusted and non-transparent energy markets in modern Smart Grids expose vulnerabilities and are susceptible to attacks. One such attack is the False Data Injection Attack, where malicious entities intentionally ...
  • AC Microgrid Modeling and Adaptive Control Using Biomimetic Valence Learning: An AI-Based Approach 

    Derbas, Abd Alelah; Bordin, Chiara; Mishra, Sambeet; hamzeh, Mohsen; Blaabjerg, Frede (Chapter; Bokkapittel, 2024-11-04)
    AC microgrids play a crucial role in integrating distributed energy resources and facilitating localized power management in contemporary power networks. Nevertheless, conventional droop control methods in these microgrids have constraints in guaranteeing precise power distribution, stability of voltage/frequency, and flexibility in response to changing operating conditions. This study introduces ...
  • Interrogating Sea Ice Predictability with Gradients 

    Joakimsen, Harald Lykke; Martinsen, Iver; Luppino, Luigi Tommaso; McDonald, Andrew; Hosking, Scott; Jenssen, Robert (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-14)
    Predicting sea ice concentration (SIC) is an important task in climate analysis. The recently proposed deep learning system IceNet is the state-of-the-art sea ice prediction model. IceNet takes high-dimensional climate simulations and observational data as input features and forecasts SIC for the next 6 months over a spatial grid over the northern hemisphere. The model has proven to be particularly ...
  • Geochemical and mineralogical characteristics of fjord sediments in Arctic Svalbard: insights into Holocene glacial activity and weathering variability 

    Jang, Kwangchul; Bayon, Germain; Ahn, Youngkyu; Joe, Young Jin; Son, Eun Jin; Kwon, Sae Yun; Kim, Jung-Hyun; Vogt, Christoph; Forwick, Matthias; Byun, Eunji; Nam, Seung-IL (Journal article; Tidsskriftartikkel; Peer reviewed, 2025-03-18)
    The Svalbard archipelago at the border of the Arctic Ocean experiences substantial glacier retreat due to global warming, resulting in a retreat of glacier termini from the marine to terrestrial settings. However, the impact of these transitions on marine environments remains poorly understood. To improve our understanding of how Arctic Svalbard responds to fluctuations in climate and glaciers, we ...
  • AI-Based Cropping of Sport Videos Using SmartCrop 

    Dorcheh, Sayed Mohammad Majidi; Houshmand Sarkhoosh, Mehdi; Midoglu, Cise; Sabet, Saeed Shafiee; Kupka, Tomas; Riegler, Michael Alexander; Johansen, Dag; Halvorsen, Pål (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-27)
    In the rapidly evolving landscape of digital platforms, the need for optimizing media representations to cater to various aspect ratios is palpable. In this paper, we pioneer an approach that utilizes object detection, scene detection, outlier detection, and interpolation for smart cropping. Using soccer as a case study, our primary goal is to capture the frame salience using object (player and ball) ...
  • Cold Seeps and Coral Reefs in Northern Norway: Carbon Cycling in Marine Ecosystems With Coexisting Features 

    Sert, Muhammed Fatih; Bernstein, Hans Christopher; Dølven, Knut Ola; Petters, Sebastian; Kekäläinen, Timo; Jänis, Janne; Corrales Guerrero, Jorge; Ferré, Benedicte (Journal article; Tidsskriftartikkel; Peer reviewed, 2025-03-20)
    Cold seeps and cold-water corals (CWCs) coexist on Northern Norway's continental shelf at the Hola trough between Lofoten and Vesterålen. Here, cold seeps release methane from the seabed, yet none reaches the sea surface. Instead, the methane dissolves and disperses in the ocean where it is ultimately consumed by methane-oxidizing microorganisms. These microorganisms metabolize methane and release ...
  • Recurrent Lorentzian Weyl Spaces 

    Dikarev, Andrei; Galaev, Anton S.; Schneider, Eivind (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-07-02)
    We find the local form of all non-closed Lorentzian Weyl manifolds (M,c,∇) with recurrent curvature tensor. The recurrent curvature tensor turns out to be weighted parallel, i.e., the obtained spaces provide certain generalization of locally symmetric affine spaces for the Weyl geometry. If the dimension of the manifold is greater than 3, then the conformal structure is flat, and the recurrent Weyl ...
  • Addressing the Impact of Complex English Use in Communicating Climate Change in Nigerian Communities Through Contextual Understanding. 

    Oramah, Chinwe P; Ngwu, Tochukwu, A; Odimegwu, Chinwe, N (Journal article; Tidsskriftartikkel; Peer reviewed, 2025-03-09)
    The effective implementation of preparedness and response strategies toward climate change resilience has evolved into a technical, sociopolitical, and communication issue. We argue that, for climate communication to effectively contribute to community resilience, it demands meaningful dialogue and engagement to facilitate understanding. Using the risk communication theory, we assessed the impact ...

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