• Relative particle yield fluctuations in Pb--Pb collisions at √sNN=2.76 TeV 

      Acharya, Shreyasi; Adamová, Dagmar; Adolfsson, Jonatan; Aggarwal, Madan M.; Aglieri Rinella, Gianluca; Agnello, Michelangelo; Agrawal, Neelima; Ahammed, Zubayer; Ahn, Sang Un; Aiola, Salvatore; Alme, Johan; Altenkaemper, Lucas; Fionda, Fiorella Maria Celeste; Lønne, Per-Ivar; Nystrand, Joakim; Rehman, Attiq ur; Tambave, Ganesh Jagannath; Ullaland, Kjetil; Velure, Arild; Wagner, Boris; Zhang, Hui; Zhou, Zhuo; Zhu, Hongsheng; Arsene, Ionut Cristian; Bätzing, Paul Christoph; Dordic, Olja; Lardeux, Antoine Xavier; Lindal, Svein; Mahmood, Sohail Musa; Richter, Matthias; Røed, Ketil; Skaali, Toralf Bernhard; Tveter, Trine Spedstad; Wikne, Jon Christopher; Zhao, Chengxin; Helstrup, Håvard; Hetland, Kristin Fanebust; Kileng, Bjarte; Nesbø, Simon Voigt; Storetvedt, Maksim Melnik; Langøy, Rune; Lien, Jørgen André; Akindinov, Alexander; Al-Turany, Mohammed; Alam, Sk Noor; De Albuquerque, Danilo Silva; Aleksandrov, Dimitry; Alessandro, Bruno; Alfaro Molina, José Rubén; Ali, Yasir Turki Ben; ALICE, Collaboration (Journal article; Peer reviewed, 2019)
      First results on K/π, p/π and K/p fluctuations are obtained with the ALICE detector at the CERN LHC as a function of centrality in Pb–Pb collisions at √sNN = 2.76 TeV. The observable νdyn, which is defined in terms of the ...
    • Reliable customer analysis using federated learning and exploring deep-attention edge intelligence 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)
      The Internet of Things (IoT) and smart cities are flourishing with distributed systems in mobile wireless networks. As a result, an enormous amount of data are being generated for devices at the network edge. This results ...
    • A resource allocation deep active learning based on load balancer for network intrusion detection in SDN sensors 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)
      Dynamic traffic in a software-defined network (SDN) causes explosive data to flow from one system to another. The explosive data affects the functionality of system parameters, network-level configuration, routing parameters, ...
    • Reusable data visualization patterns for clinical practice 

      Rabbi, Fazle; Wake, Jo Dugstad; Nordgreen, Tine (Chapter, 2020)
      Among clinical psychologists involved in guided internet-facilitated interventions, there is an overarching need to understand patients symptom development and learn about patients need for treatment support. Data ...
    • A Review on Cs-Based Pb-Free Double Halide Perovskites: From Theoretical and Experimental Studies to Doping and Applications 

      Gourji, Fatemeh Heidari; Velauthapillai, Dhayalan (Peer reviewed; Journal article, 2021)
      Despite the progressive enhancement in the flexibility of Pb-based perovskites for optoelectronic applications, regrettably, they are facing two main challenges; (1) instability, which originates from using organic components ...
    • Review on Perovskite Semiconductor Field–Effect Transistors and Their Applications 

      Abiram, Gnanasampanthan; Thanihaichelvan, Murugathas; Ravirajan, Punniamoorthy; Velauthapillai, Dhayalan (Peer reviewed; Journal article, 2022)
      Perovskite materials are considered as the most alluring successor to the conventional semiconductor materials to fabricate solar cells, light emitting diodes and electronic displays. However, the use of the perovskite ...
    • Risk Governance of Emerging Technologies Demonstrated in Terms of its Applicability to Nanomaterials 

      Isigonis, Panagiotis; Afantitis, Antreas; Antunes, Dalila; Bartonova, Alena; Beitollahi, Ali; Bohmer, Nils; Bouman, Evert; Chaudhry, Qasim; Cimpan, Mihaela Roxana; Cimpan, Emil; Doak, Shareen; Dupin, Damien; Fedrigo, Doreen; Fessard, Valérie; Gromelski, Maciej; Gutleb, Arno; Halappanavar, Sabina; Hoet, Peter; Jeliazkova, Nina; Jomini, Stéphane; Lindner, Sabine; Linkov, Igor; Longhin, Eleonora Marta; Lynch, Iseult; Malsch, Ineke; Marcomini, Antonio; Mariussen, Espen; de la Fuente, Jesus; Melagraki, Georgia; Murphy, Finbarr; Neaves, Michael; Packroff, Rolf; Pfuhler, Stefan; Puzyn, Tomasz; Rahman, Qamar; Pran, Elise Rundén; Semenzin, Elena; Serchi, Tommaso; Steinbach, Christoph; Trump, Benjamin; Vrček, Ivana Vinković; Warheit, David; Wiesner, Mark; Willighagen, Egon; Dusinska, Maria (Peer reviewed; Journal article, 2020)
      Nanotechnologies have reached maturity and market penetration that require nano‐specific changes in legislation and harmonization among legislation domains, such as the amendments to REACH for nanomaterials (NMs) which ...
    • The Road toward Smart Cities: A Study of Citizens’ Acceptance of Mobile Applications for City Services 

      Hou, Jinghui (Jove); Arpan, Laura; Wu, Yijie; Feiock, Richard; Ozguven, Eren Erman; Arghandeh, Reza (Peer reviewed; Journal article, 2020)
      Many local governments have started using smartphone applications to more effectively inform and communicate with citizens. This trend is of interest, as cities can only be smart if they are responsive to their citizens. ...
    • Robot styrt sveising med videre automatisering 

      Nes, Kari (Bachelor thesis, 2020)
    • Robotarm baneplanlegging med blandet virkelighet 

      Dankel, Håvar (Bachelor thesis, 2022)
    • Robotarm baneplanlegging med blandet virkelighet 

      Benjaminsen, Sivert Hagelin; Dankel, Håvar (Bachelor thesis, 2022)
    • Robotisert celle for automatisert preparering og sveising av flenser 

      Teige, Heine; Nilsen-Sjøen, Andreas (Bachelor thesis, 2020)
    • Robotisert rennerensk 

      Bunes, Tørres Litlabø; Fimreite, Kim Hans (Bachelor thesis, 2022)
    • Robust adversarial uncertainty quantification for deep learning fine-tuning 

      Ahmed, Usman; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
      This paper proposes a deep learning model that is robust and capable of handling highly uncertain inputs. The model is divided into three phases: creating a dataset, creating a neural network based on the dataset, and ...
    • A robust deformed convolutional neural network (CNN) for image denoising 

      Zhang, Qi; Xiao, Jingyu; Tian, Chunwei; Lin, Jerry Chun-Wei; Zhang, Shichao (Peer reviewed; Journal article, 2022)
      Due to strong learning ability, convolutional neural networks (CNNs) have been developed in image denoising. However, convolutional operations may change original distributions of noise in corrupted images, which may ...
    • RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series 

      Lee, Ming-Chang; Lin, Jia-Chun (Chapter; Peer reviewed, 2023)
      A multivariate time series refers to observations of two or more variables taken from a device or a system simultaneously over time. There is an increasing need to monitor multivariate time series and detect anomalies in ...
    • Roles of Interfacial Modifiers in Inorganic Titania/Organic Poly(3-hexylthiophene) Heterojunction Hybrid Solar Cells 

      Pirashanthan, Arumugam; Kajana, Thirunavukarasu; Velauthapillai, Dhayalan; Shivatharsiny, Yohi; Bentouba, Said; Ravirajan, Punniamoorthy (Peer reviewed; Journal article, 2022)
      Hybrid Titanium dioxide/Poly(3-hexylthiophene) heterojunction solar cells have gained research interest as they have the potential to become cost-effective solar technology in the future. Limited power conversion efficiencies ...
    • Room of horror – VR for økt pasientsikkerhet 

      Mortensen, Adrian René Johnsen; Nome, Kristoffer (Bachelor thesis, 2020)
    • ROV – Remoted Operated Vehicle 

      Seime, Ole Jacob; Eikelid, Tomas (Bachelor thesis, 2011)
      Hovudmålet med prosjektet var å bygge ein slitesterk og brukarvennleg observasjonsklasse ROV som kunne brukast ned til 20 meter. ROV står for Remotely Operated Vehicle som på norsk vert kalla fjernstyrt miniubåt ...
    • Running ALICE Grid Jobs in Containers: A new approach to job execution for the next generation ALICE Grid framework 

      Storetvedt, Maksim Melnik; Betev, Latchezar; Helstrup, Håvard; Hetland, Kristin Fanebust; Kileng, Bjarte (Peer reviewed; Journal article, 2020)
      The new JAliEn (Java ALICE Environment) middleware is a Grid framework designed to satisfy the needs of the ALICE experiment for the LHC Run 3, such as providing a high-performance and high-scalability service to cope with ...