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    • AFD-Net: Apple Foliar Disease multi classification using deep learning on plant pathology dataset 

      Yadav, Anju; Thakur, Udit; Saxena, Rahul; Pal, Vipin; Bhateja, Vikrant; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Background Plant diseases significantly affect the crop, so their identification is very important. Correct identification of these diseases is crucial for establishing a good disease control strategy to avoid time and ...

    • An AI-Enabled ensemble method for rainfall forecasting using Long-Short term memory 

      Kanani, Sarth; Patel, Shivam; Gupta, Rajeev Kumar; Jain, Arti; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
      Rainfall prediction includes forecasting the occurrence of rainfall and projecting the amount of rainfall over the modeled area. Rainfall is the result of various natural phenomena such as temperature, humidity, atmospheric ...

    • AI-powered model repair: an experience report—lessons learned, challenges, and opportunities 

      Barriga Rodriguez, Angela; Rutle, Adrian; Heldal, Rogardt (Peer reviewed; Journal article, 2022)
      Artificial intelligence has already proven to be a powerful tool to automate and improve how we deal with software development processes. The application of artificial intelligence to model-driven engineering projects is ...

    • Air processed Cs<inf>2</inf>AgBiBr<inf>6</inf> lead-free double perovskite high-mobility thin-film field-effect transistors 

      Abiram, Gnanasampanthan; Gourji, Fatemeh Heidari; Pitchaiya, Selvakumar; Ravirajan, Punniamoorthy; Murugathas, Thanihaichelvan; Velauthapillai, Dhayalan (Peer reviewed; Journal article, 2022)
      This study focuses on the fabrication and characterization of Cs2AgBiBr6 double perovskite thin film for field-effect transistor (FET) applications. The Cs2AgBiBr6 thin films were fabricated using a solution process technique ...

    • AlexNet Convolutional Neural Network for Disease Detection and Classification of Tomato Leaf 

      Chen, Hsing-Chung; Widodo, Agung Mulyo; Wisnujati, Andika; Rahaman, Mosiur; Lin, Jerry Chun-Wei; Chen, Liukui; Weng, Chien-Erh (Peer reviewed; Journal article, 2022)
      With limited retrieval of reserves and restricted capability in plant pathology, automation of processes becomes essential. All over the world, farmers are struggling to prevent various harm from bacteria or pathogens such ...

    • The ALICE experiment at the CERN LHC 

      Aamodt, Kenneth; Helstrup, Håvard; Hetland, Kristin Fanebust; Kileng, Bjarte; Røed, Ketil; ALICE Collaboration (Journal of Instrumentation, Peer reviewed; Journal article, 2008-08)
      ALICE (A Large Ion Collider Experiment) is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model. It is designed to address the physics of strongly ...

    • ALICE measurement of the J/ψ nuclear modification factor at mid-rapidity in Pb–Pb collisions at √sNN=5.02&nbsp;TeV 

      Acharya, Shreyasi; Adam, Jaroslav; Adamová, Dagmar; Adolfsson, Jonatan; Aggarwal, Madan M.; Aglieri Rinella, Gianluca; Agnello, Michelangelo; Agrawal, Nikita; Ahammed, Zubayer; Ahmad, N.; Ahn, S.U.; Aiola, Salvatore; Akindinov, Alexander; Alam, SN; Alba, José Luis Bazo; Albuquerque, D.S.D.; Aleksandrov, Dimitry; Alessandro, Bruno; Alfaro Molina, José Rubén; Alici, Andrea; Alkin, A.; Altenkaemper, Lucas; Arsene, Ionut Christian; Bätzing, Paul Christoph; Djuvsland, Øystein; Dordic, Olja; Helstrup, Håvard; Hetland, Kristin Fanebust; Kileng, Bjarte; Langøy, Rune; Lardeux, Antoine Xavier; Lien, Jørgen André; Lindal, Svein; Lønne, Per-Ivar; Mahmood, Sohail Musa; Milosevic, Jovan; Nesbø, Simon Voigt; Nystrand, Joakim; Rehman, Attiq Ur; Richter, Matthias Rudolph; Røed, Ketil; Røhrich, Dieter; Skaali, Toralf Bernhard; Tambave, Ganesh Jagannath; Tveter, Trine Spedstad; Ullaland, Kjetil; Velure, Arild; Wagner, Boris; Wikne, Jon Christopher; Zhang, Hui; Zhao, Chengxin; Zhou, Zhuo; Zhu, Hongsheng; ALICE, Collaboration (Peer reviewed; Journal article, 2017)

    • ALICE measurements of flow coefficients and their correlations in small (pp and p–Pb) and large (Xe–Xe and Pb–Pb) collision systems 

      Gajdošová, Katarína; Acharya, Shreyasi; Acosta, Fernando T.; Adamová, Dagmar; Adolfsson, Jonatan; Aggarwal, Madan M.; Aglieri Rinella, Gianluca; Agnello, Michelangelo; Agrawal, Neelima; Ahammed, Zubayer; Alme, Johan; Altenkaemper, Lucas; Djuvsland, Øystein; Ersdal, Magnus Rentsch; Fionda, Fiorella Maria Celeste; Nystrand, Joakim; Rehman, Attiq Ur; Røhrich, Dieter; Tambave, Ganesh Jagannath; Ullaland, Kjetil; Wagner, Boris; Zhou, Zhuo; Arsene, Ionut Cristian; Bätzing, Paul Christoph; Dordic, Olja; Lardeux, Antoine Xavier; Lindal, Svein; Mahmood, Sohail Musa; Malik, Qasim Waheed; Richter, Matthias; Røed, Ketil; Skaali, Toralf Bernhard; Tveter, Trine Spedstad; Wikne, Jon Christopher; Zhao, Chengxin; Hetland, Kristin Fanebust; Kileng, Bjarte; Nesbø, Simon Voigt; Storetvedt, Maksim Melnik; Helstrup, Håvard; Langøy, Rune; Lien, Jørgen André; Ahn, Sang Un; Aiola, Salvatore; Akindinov, Alexander; Al-Turany, Mohammad; Alam, Sk Noor; Albuquerque, D. S. D.; Aleksandrov, Dmitry; Alessandro, Bruno; ALICE, Collaboration (Peer reviewed; Journal article, 2019)
      Many observables which are used as a signature of the collective effects in heavy-ion collisions when measured in high multiplicity pp and pA interactions reveal a very similar behaviour. We will present first measurements ...

    • ALICE results on system-size dependence of charged-particle multiplicity density in p–Pb, Pb–Pb and Xe–Xe collisions 

      Kim, Beomkyu; Acharya, Shreyasi; Acosta, Fernando T.; Adamová, Dagmar; Adolfsson, Jonatan; Aggarwal, Madan M.; Aglieri Rinella, Gianluca; Agnello, Michelangelo; Agrawal, Neelima; Ahammed, Zubayer; Alme, Johan; Altenkaemper, Lucas; Djuvsland, Øystein; Ersdal, Magnus Rentsch; Fionda, Fiorella Maria Celeste; Nystrand, Joakim; Rehman, Attiq Ur; Røhrich, Dieter; Tambave, Ganesh Jagannath; Ullaland, Kjetil; Wagner, Boris; Zhou, Zhuo; Arsene, Ionut Cristian; Bätzing, Paul Christoph; Dordic, Olja; Lardeux, Antoine Xavier; Lindal, Svein; Mahmood, Sohail Musa; Malik, Qasim Waheed; 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; Ahn, Sang Un; Aiola, Salvatore; Akindinov, Alexander; Al-Turany, Mohammad; Alam, Sk Noor; Albuquerque, D. S. D.; Aleksandrov, Dmitry; Alessandro, Bruno; ALICE, Collaboration (Peer reviewed; Journal article, 2019)
      Particle production at LHC energies involves the interplay of hard (perturbative) and soft (non-perturbative) QCD processes. Global observables, such as the charged-particle multiplicity, are related to the initial geometry ...

    • AllWrite - Åpner for kreativ skriving og lesing 

      Berge, Sebastian; Halvorsen, Anders Mæhlum; Østensen, Simen Wiktorin (Bachelor thesis, 2020)

    • An Approach to Flexible Multilevel Modelling 

      Macias, Fernando; Rutle, Adrian; Stolz, Volker; Rodriguez-Echeverria, Roberto; Wolter, Uwe Egbert (Journal article; Peer reviewed, 2018)
      Multilevel modelling approaches tackle issues related to lack of flexibility and mixed levels of abstraction by providing features like deep modelling and linguistic extension. However, the lack of a clear consensus on ...

    • An Effective Approach for Obtaining a Group Trading Strategy Portfolio Using Grouping Genetic Algorithm 

      Chen, Chun-Hao; Chen, Yu-Hsuan; Lin, Chun Wei; Wu, Mu-En (Journal article; Peer reviewed, 2019)
      To determine an appropriate trading time for buying or selling stocks is always a difficult task. The common way to deal with it is using trading strategies formed by technical or fundamental indicators. Lots of approaches ...

    • An evaluation of automated code generation with the petricode approach 

      Simonsen, Kent Inge Fagerland (Peer reviewed; Journal article, 2014)

    • An MDE Approach for Modelling and Reasoning about Multi-agent Systems 

      Rabbi, Fazle; Lamo, Yngve; Kristensen, Lars Michael (Journal article; Peer reviewed, 2017)
      Epistemic logic plays an important role in artificial intelligence for reasoning about multi-agent systems. Current approaches for modelling multi-agent systems with epistemic logic use Kripke semantics where the knowledge ...

    • An overview of deep learning in medical imaging focusing on MRI 

      Lundervold, Alexander Selvikvåg; Lundervold, Arvid (Journal article; Peer reviewed, 2018)
      What has happened in machine learning lately, and what does it mean for the future of medical image analysis? Machine learning has witnessed a tremendous amount of attention over the last few years. The current boom started ...

    • Analyse og rapportering av spenningskvaliteten i Stord kommune sitt distribusjonsnett 

      Grov, Kjell Anders; Larsen, Morten (Bachelor thesis, 2009)
      I denne oppgaven er det blitt utført 4 vellykkede målinger av spenningskvaliteten i Stord kommunes distribusjonsnett. Målingene er blitt utført i følgende trafokretser, NS 146 Heiane storsenter NS 274 Leirvik sveis ...

    • Analysis and evaluation of conformance preserving graph transformation rules 

      Rabbi, Fazle; Lamo, Yngve; Kristensen, Lars Michael (Journal article; Peer reviewed, 2019)
      Model transformation is a formal approach for modelling the behavior of software systems. Over the past few years, graph based modeling of software systems has gained significant attention as there are numerous techniques ...

    • Analysis of SLA Compliance in the Cloud -- An Automated, Model-based Approach 

      de Boer, Frank; Giachino, Elena; de Gouw, Stijn; Hähnle, Reiner; Johnsen, Einar Broch; Laneve, Cosimo; Pun, Ka I; Zavattaro, Gianluigi (Peer reviewed; Journal article, 2019)
      Service Level Agreements (SLA) are commonly used to specify the quality attributes between cloud service providers and the customers. A violation of SLAs can result in high penalties. To allow the analysis of SLA compliance ...

    • Analysis of the apparent nuclear modification in peripheral Pb–Pb collisions at 5.02 TeV 

      Acharya, Shreyasi; Acosta, Fernando Torales; Adamová, Dagmar; Adolfsson, Jonatan; Aggarwal, Madan M.; Aglieri Rinella, Gianluca; Agnello, Michelangelo; Agrawal, Neelima; Ahammed, Zubayer; Ahn, Sang Un; Alme, Johan; Altenkaemper, Lucas; Djuvsland, Øystein; Ersdal, Magnus Rentsch; Fionda, Fiorella Maria Celeste; Nystrand, Joakim; Rehman, Attiq ur; Røhrich, Dieter; Tambave, Ganesh Jagannath; Ullaland, Kjetil; Wagner, Boris; Zhou, Zhuo; Arsene, Ionut Cristian; Bätzing, Paul Christoph; Dordic, Olja; Lardeux, Antoine Xavier; Lindal, Svein; Mahmood, Sohail Musa; Malik, Qasim Waheed; 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; Aiola, Salvatore; Akindinov, Alexander; Al-Turany, Mohammed; Alam, Sk Noor; De Albuquerque, Danilo Silva; Aleksandrov, Dimitry; Alessandro, Bruno; Alfaro Molina, José Rubén; ALICE, Collaboration (Journal article; Peer reviewed, 2019)
      Charged-particle spectra at midrapidity are measured in Pb–Pb collisions at the centre-of-mass energy per nucleon–nucleon pair √sNN = 5.02 TeV and presented in centrality classes ranging from most central (0–5%) to most ...

    • Analytics of high average-utility patterns in the industrial internet of things 

      Wu, Jimmy Ming-Tai; Li, Zhongcui; Srivastava, Gautam; Yun, Unil; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Recently, revealing more valuable information except for quantity value for a database is an essential research field. High utility itemset mining (HAUIM) was suggested to reveal useful patterns by average-utility measure ...