• EANDC: An explainable attention network based deep adaptive clustering model for mental health treatments 

      Ahmed, Usman; Srivastava, Gautam; Yun, Unil; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Internet-delivered Psychological Treatment (IDPT) has been shown to be an effective method for improving psychological disorders. Natural language processing (NLP) requires an appropriate set of linguistic features for ...
    • Eco-friendly Egyptian blue (CaCuSi<inf>4</inf>O<inf>10</inf>) dye for luminescent solar concentrator applications 

      Rajaramanan, Tharmakularasa; Keykhaei, Mansoureh; Gourji, Fatemeh Heidari; Ravirajan, Punniamoorthy; Senthilnanthanan, Meena; Frette, Øyvind; Velauthapillai, Dhayalan (Peer reviewed; Journal article, 2023)
      This study focuses on synthesizing the heavy metal-free ancient Egyptian blue (EB; CaCuSi4O10) dye using a facile ceramic method for luminescent solar concentrator (LSC) application. XRD, SEM and EDX results confirmed that ...
    • EDALoCo: Enhancing the accessibility of blockchains through a low-code approach to the development of event-driven applications for smart contract management 

      Rosa-Bilbao, Jesús; Boubeta-Puig, Juan; Rutle, Adrian (Peer reviewed; Journal article, 2022)
      Blockchain is a cutting-edge technology based on a distributed, secure and immutable ledger that facilitates the registration of transactions and the traceability of tangible and intangible assets without requiring central ...
    • An edge-aided parallel evolutionary privacy-preserving algorithm for Internet of Things 

      Telikani, Akbar; Shahbahrami, Asadollah; Shen, Jun; Gaydadjiev, Georgi; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
      Data sanitization in the context of Internet of Things (IoT) privacy refers to the process of permanently and irreversibly hiding all sensitive information from vast amounts of streaming data. Taking into account the dynamic ...
    • An edge-driven multi-agent optimization model for infectious disease detection 

      Djenouri, Youcef; Srivastava, Gautam; Yazidi, Anis; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      This research work introduces a new intelligent framework for infectious disease detection by exploring various emerging and intelligent paradigms. We propose new deep learning architectures such as entity embedding networks, ...
    • Education model for future 

      Fojcik, Marcin Andrzej; Fojcik, Martyna Katarzyna (Chapter, 2023)
      The modern work environment requires many new abilities. Hence, there are often called 21st-century skills. It can be caused to the increasingly common use of digital tools or by more and more individualization (fitting) ...
    • Effect of doped TiO2 film as electron transport layer for inverted organic solar cell 

      Ranjitha, A; Thambidurai, M; Shini, Foo; Muthukumarasamy, N; Velauthapillai, Dhayalan (Journal article, 2019)
      Nanocrystalline TiO2 and Sn-doped TiO2 thin films were prepared by sol–gel spin coating method. The crystallinity and anatase phase of TiO2 and Sn-doped TiO2 were confirmed from X-ray diffraction analysis. The EDAX analysis ...
    • The Effect of SMS Reminders on Adherence in a Self-Guided Internet-Delivered Intervention for Adults With ADHD 

      Nordby, Emilie Sektnan; Gjestad, Rolf; Kenter, Robin Maria Francisca; Guribye, Frode; Mukhiya, Suresh Kumar; Lundervold, Astri J.; Nordgreen, Tine (Peer reviewed; Journal article, 2022)
      Background: Self-guided Internet-delivered interventions may serve as an accessible and flexible non-pharmacological treatment supplement for adults with ADHD. However, these interventions are challenged by low ...
    • An Effective Approach for the Diverse Group Stock Portfolio Optimization Using Grouping Genetic Algorithm 

      Chen, Chung-Hao; Lu, Cheng-Yu; Hong, Tzung-Pei; Lin, Chun Wei; Gaeta, Matteo (Peer reviewed; Journal article, 2019)
      Finding useful portfolios that could be a portfolio of trading strategy or a stock portfolio from financial datasets is always an attractive research topic due to the nature of financial markets. Because investors always ...
    • Effective Fuzzy System for Qualifying the Characteristics of Stocks by Random Trading 

      Wu, Mu-En; Syu, Jia-Hao; Lin, Jerry Chun-Wei; Ho, Jan-Ming (Peer reviewed; Journal article, 2021)
      Trading strategies can be divided into two categories; i.e., those with momentum characteristic and those that appear contrarian. The characteristics of trading strategies have been widely studied; however, there has been ...
    • Effektivisere utnyttelse av solenergi 

      Sagvaag, Jenny (Bachelor thesis, 2019)
    • An Efficient Bet-GCN Approach for Link Prediction 

      Saxena, Rahul; Patil, Spandan Pankaj; Verma, Atul Kumar; Jadeja, Mahipal; Vyas, Pranshu; Bhateja, Vikrant; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
      The task of determining whether or not a link will exist between two entities, given the current position of the network, is called link prediction. The study of predicting and analyzing links between entities in a network ...
    • Efficient Chain Structure for High-Utility Sequential Pattern Mining 

      Lin, Jerry Chun-Wei; Li, Yuanfa; Fournier-Viger, Philippe; Djenouri, Youcef; Zhang, Ji (Peer reviewed; Journal article, 2020)
      High-utility sequential pattern mining (HUSPM) is an emerging topic in data mining, which considers both utility and sequence factors to derive the set of high-utility sequential patterns (HUSPs) from the quantitative ...
    • Efficient data access in OPC UA based systems 

      Czembor, Paweł; Zieja, Przemysłav (Bachelor thesis, 2011)
      Our project has been developed as a Senior Design Project. The order for the project came from HSF. Realisation of the project took place on the Sogn og Fjordane University College in Førde. The main goal was to create ...
    • Efficient Method for Mining High Utility Occupancy Patterns Based on Indexed List Structure 

      Kim, Hyeonmo; Ryu, Taewoong; Lee, Chanhee; Kim, Sinyoung; Vo, Bay; Lin, Jerry Chun-Wei; Yun, Unil (Peer reviewed; Journal article, 2023)
      High utility pattern mining has been proposed to improve the traditional support-based pattern mining methods that process binary databases. High utility patterns are discovered by effectively considering the quantity and ...
    • The Efficient Mining of Skyline Patterns from a Volunteer Computing Network 

      Wu, Jimmy Ming-Tai; Teng, Qian; Srivastava, Gautam; Pirouz, Matin; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      In the ever-growing world, the concepts of High-utility Itemset Mining (HUIM) as well as Frequent Itemset Mining (FIM) are fundamental works in knowledge discovery. Several algorithms have been designed successfully. ...
    • Efficient techniques and tools for software testing based on traces and coverage analysis 

      Ahishakiye, Faustin (Doctoral thesis, 2022)
      To ensure ultra-high dependability and ultra-low defect rates, certification standards such as DO-178C requires safety-critical software with the highest safety level (Level A) in avionics systems to conform to the modified ...
    • Electroweak boson measurements in p-Pb and Pb-Pb collisions at √sNN=5.02TeV with ALICE at the LHC 

      Tarhini, Mohamad; 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)
      The ALICE collaboration has measured the electroweak boson production at forward rapidity in Pb-Pb and p-Pb collisions at √sNN = 5.02 TeV. Final results on the Z0 boson production in Pb-Pb collisions are presented as a ...
    • Electroweak boson production in p–Pb and Pb–Pb collisions at sNN=5.02&nbsp;TeV with ALICE 

      Acharya, Shreyasi; Adam, Jaroslav; Adamová, Dagmar; Adolfsson, Jonatan; Aggarwal, Madan M.; Aglieri Rinella, G; Agnello, Michelangelo; Agrawal, Nikita; Ahammed, Zubayer; Ahmad, N; Ahn, SU; Alme, Johan; 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; Aiola, Salvatore; Akindinov, Alexander; Alam, Sk Noor; Alba, José Luis Bazo; Allesandro, B.; ALICE, Collaboration (Peer reviewed; Journal article, 2017)
    • Elliptic and triangular flow of (anti)deuterons in Pb-Pb collisions at √sNN=5.02 TeV 

      Acharya, Shreyasi; Adamová, Dagmar; Adler, Alexander; Adolfsson, Jonatan; Aggarwal, Madan M.; Aglieri Rinella, Gianluca; Agnello, Michelangelo; Agrawal, Nikita; Ahammed, Zubayer; Ahmad, Shafiq F.; Alme, Johan; Altenkaemper, Lucas; Djuvsland, Øystein; Eikeland, Viljar Nilsen; Ersdal, Magnus Rentsch; Fionda, Fiorella Maria Celeste; Grøttvik, Ola Slettevoll; Lofnes, Ingrid Mckibben; Nystrand, Joakim; Rehman, Attiq Ur; Røhrich, Dieter; Tambave, Ganesh Jagannath; Ullaland, Kjetil; Wagner, Boris; Yang, Shiming; Yuan, Shiming; Zhou, Zhuo; Arsene, Ionut Cristian; Dordic, Olja; Lardeux, Antoine Xavier; Mahmood, Sohail Musa; Malik, Qasim Waheed; Neagu, Alexandra; Richter, Matthias; Røed, Ketil; Skaali, Toralf Bernhard; Tveter, Trine Spedstad; Wikne, Jon Christopher; Helstrup, Håvard; Hetland, Kristin Fanebust; Kileng, Bjarte; Nesbø, Simon Voigt; Storetvedt, Maksim Melnik; Langøy, Rune; Lien, Jørgen André; Ahn, Sang Un; Akbar, Zaenai; Akindinov, Alexander; Al-Turany, Mohammed; Alam, Sk Noor; ALICE, Collaboration (Peer reviewed; Journal article, 2020)
      The measurements of the (anti)deuteron elliptic flow (v2) and the first measurements of triangular flow (v3) in Pb-Pb collisions at a center-of-mass energy per nucleon-nucleon collision √sNN = 5.02 TeV are presented. A ...