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Found 13 publications. Showing page 1 of 1:

Publication  
Year  
Category

Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning

Belaid, Mohamed-Bachir; Sharma, Jivitesh; Lei, Jiao; Granmo, Ole-Christoffer; Andersen, Per-Arne; Yazidi, Anis

2025

Modeling the Impact of Pedestrianization on Urban Air Quality

O'Regan, Anna C.; Grythe, Henrik; Sousa Santos, Gabriela; Nyhan, Marguerite M.

2025

Deep Neural Networks for Comprehensive Environmental Noise Estimation in European Cities

Sharma, Jivitesh; Jetschny, Stefan; Maza, Miquel S.; Guardia, Nuria B.; Peris, Eulàlia; Esteve, Jaume F.

2024

Deep Learning-Enhanced Gap Filling in Drosophila Melanogaster Genomic Data

Sharma, Jivitesh; Jetschny, Stefan; Kapun, Martin; Belaid, Mohamed-Bachir

2024

Modelling Arctic Atmospheric Aerosols: Representation of Aerosol Processing by Ice and Mixed-Phase Clouds

Gong, Wanmin; Stephen, Beagley; Ghahreman, Roya; Sharma, Sangeeta; Huang, Lin; Quinn, Patricia K.; Massling, Andreas; Pernov, Jakob Boyd; Skov, Henrik; Calzolai, Giulia; Traversi, Rita; Aas, Wenche; Yttri, Karl Espen; Vestenius, Mika; Makkonen, Ulla; Kivekäs, Niku; Kulmala, Markku; Alto, Pasi; Fiebig, Markus

2025

A Dynamic Modelling Tool to Ensure the Safety of Drinking Water Sources Near Amine-Based CO2 Capture Plants

Gundersen, Cathrine Brecke; Wisthaler, Armin; Cassiani, Massimo; Norling, Magnus Dahler; Wennberg, Aina Charlotte; Clayer, Francois; Dörsch, Peter; Zeeshan, Muhammad; Tednes, Marius; Leviana, Nadya

2024

Modelling the Transport Externalities of Urban Sprawl Development in Polish Cities Between 2006 and 2023

Drabicki, Arkadiusz; Lopez-Aparicio, Susana; Grythe, Henrik; Kierpiec, Urszula; Tobola, Kamila; Kud, Bartosz; Chwastek, Konrad

2025

Towards an integrated data-driven infrastructure (InfraNor)

Denkmann, Rudolf; Aas, Wenche; Pedersen, Åshild Ønvik; Berge, Jørgen; Storvold, Rune; Godøy, Øystein ; Isaksen, Kjetil; Fjæraa, Ann Mari; Gulbrandsen, Njål; Christiansen, Hanne H; Gallet, Jean-Charles; Mevold, Kjetil; Malnes, Eirik; Ravolainen, Virve; Schuler, Thomas; Tømmervik, Hans; Nilsen, Frank; Fer, Ilker; Sivertsen, Agnar Holten; Jawak, Shridhar Digambar; Lihavainen, Heikki

2025

Methane in Svalbard (SvalGaSess)

Hodson, Andrew; Kleber, Gabrielle Emma; Platt, Stephen Matthew; Kalenitchenko, Dimitri Stanislas Desire; Hengsens, Geert; Irvine-Fynn, Tristram; Senger, Kim; Tveit, Alexander Tøsdal; Øvreås, Lise; ten Hietbrink, Sophie; Hollander, Jamie; Ammerlaan, Fenna; Damm, Ellen; Römer, Miriam; Fransson, Agneta; Chierici, Melissa; Delpech, Lisa-Marie; Pirk, Norbert; Sen, Arunima; Redecker, Kelly

Methane is a powerful greenhouse gas whose emission into the atmosphere from Arctic environments is increasing in response to climate change. At present, the increase in atmospheric methane concentrations recorded at Ny-Ålesund and globally threatens the Paris Agreement goal of limiting warming to 2 degrees, preferably 1.5 degrees, by increasing the need for abatements. However, our understanding of the physical, chemical and biological processes that control methane in the Arctic are strongly biased towards just a few lowland sites that are not at all like Svalbard and other similar mountainous, ice-covered regions. Svalbard can therefore be used to better understand these locations. Svalbard’s methane stocks include vast reserves of ancient, geogenic methane trapped beneath glaciers and permafrost. This methane supplements the younger, microbial methane mostly produced in waterlogged soils and wetlands during the summer and early winter. Knowledge about the production, removal and migration of these two methane sources in Svalbard’s complex landscapes and coastal environments has grown rapidly in recent years. However, the need to exploit this knowledge to produce reliable estimates of present-day and future emissions of methane from across the Svalbard landscape is now paramount. This is because understanding these quantities is absolutely necessary when we seek to define how society must adjust in order to better manage greenhouse gases in Earth’s atmosphere

2025

The impact of the epoxy thin-film layer for microwave-based gas sensors working at high relative humidity levels

Grochala, Dominik; Paleczek, Anna; Kocoñ, Mateusz; Dudzik, Maciej; Blajszczak, Lukasz; Staszek, Kamil; Wojcikowski, Marek; Cao, Tuan-Vu; Rydosz, Artur

2024

Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors

Jørstad, Per Martin; Wojcikowski, Marek; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Wojtkiewicz, Krystian; Ha, Hoai Phuong

2023

VOC contributions from building materials, furniture, and user equipment in low emitting and modular classrooms

Yang, Aileen; Holøs, Sverre Bjørn; Hak, Claudia; Vogt, Matthias; Schmidbauer, Norbert; Fjellheim, Øystein

This study aimed to assess whether building materials,
furniture, and user equipment are sources of pollution
that would influence the need for ventilation. Between
2017-2020, measurements were taken in four regular
classrooms in a low emitting school and four modular
classrooms in a prefabricated school. Weekly passive
sampling of volatile organic compounds (VOCs) and
aldehydes were carried out in the classrooms under
the following four conditions: 1) emptied, 2) furnished,
3) with furniture and user equipment, and 4) during
normal use. For the first three conditions, the
classrooms were measured with either no ventilation
or "low" airflow rates. Total VOC (TVOC)
concentrations were up to ten times higher in the
unventilated classroom at the prefabricated school
compared to classrooms at the low emitting school
(<450 µg/m3 for conditions 1-2). Our results show the
importance of selecting low emitting building
materials and proper ventilation.

2021

Analysis of the effect of indoor environment on pupils’ health in one Norwegian school during COVID-19 pandemic

Ulvestad, Anita; Cao, Guangyu; Gustavsen, Kai; Vogt, Matthias; Rismyhr, Tore; Yang, Zhirong

2021

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