Recent Submissions

  • Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health 

    Nordgreen, Tine; Rabbi, Fazle; Tørresen, Jim; Skar, Yngvar Sigmund; Guribye, Frode; Inal, Yavuz; Flobak, Eivind; Wake, Jo Dugstad; Mukhiya, Suresh Kumar; Aminifar, Amin; Myklebost, Sunniva Brurok; Lundervold, Astri J.; Kenter, Robin Maria Francisca; Hammar, Åsa Karin; Kahlon, Smiti; Nordby, Emilie; Sekse, Ragnhild Johanne Tveit; Griffin, Kristine Fonnes; Jakobsen, Petter; Pham, Hoang Minh; Côté-Allard, Ulysse Teller Masao; Noori, Farzan Majeed; Lamo, Yngve (Peer reviewed; Journal article, 2021)
    Purpose Mental illness presents a huge individual, societal and economic challenges, currently accounting for 20% of the worldwide burden of disease. There is a gap between the need for and access to services. Digital ...
  • A Multilevel Modelling Infrastructure for the Definition, Execution and Composition of Domain-Specific Modelling Languages 

    Rodríguez Tena, Alejandro (Doctoral thesis, 2021)
    Nowadays software has scaled to a point where it is present in every aspect of our lives. It is paramount to explore techniques that speed up the construction of software and desirably increase the reliability and quality ...
  • Machine Learning-Based Ensemble Model for Zika Virus T-Cell Epitope Prediction 

    Bukhari, Syed Nisar Hussain; Jain, Amit; Haq, Ehtishamul; Khder, Moaiad Ahmad; Neware, Rahul; Bhola, Jyoti; Najafi, Moslem Lari (Journal article, 2021)
    Zika virus (ZIKV), the causative agent of Zika fever in humans, is an RNA virus that belongs to the genus Flavivirus. Currently, there is no approved vaccine for clinical use to combat the ZIKV infection and contain the ...
  • Enhancing Security of Health Information Using Modular Encryption Standard in Mobile Cloud Computing 

    Shabbir, Maryam; Shabbir, Ayesha; Iwendi, Celestine; Javed, Abdul Rehman; Rizwan, Muhammad; Herencsar, Norbert; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
    Despite the numerous and noticeable inherited gains of Mobile Cloud Computing (MCC) in healthcare, its growth is being hindered by privacy and security challenges. Such issues require the utmost urgent attention to realize ...
  • FAIR Metadata Standards for Low Carbon Energy Research—A Review of Practices and How to Advance 

    Wierling, August Hubert; Schwanitz, Valeria Jana; Altinci, Sebnem; Balazinska, Maria; Barber, Michael J.; Biresselioglu, Mehmet Efe; Burger-Scheidlin, Christopher; Celino, Massimo; Demir, Muhittin Hakan; Dennis, Richard; Dintzner, Nicolas; el Gammal, Adel; Fernández-Peruchena, Carlos M.; Gilcrease, Winston; Gładysz, Pawel; Hoyer-Klick, Carsten; Joshi, Kevin; Kruczek, Mariusz; Lacroix, David; Markowska, Malgorzata; Mayo-Garcia, Rafael; Morrison, Robbie; Paier, Manfred; Peronato, Giuseppe; Ramakrishnan, Mahendranath; Reid, Janeita; Sciullo, Alessandro; Solak, Berfu; Suna, Demet; Suess, Wolfgang; Unger, Astrid; Fernandez Vanoni, Maria Luisa; Vasiljevic, Nikola (Peer reviewed; Journal article, 2021)
    The principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) have been put forward to guide optimal sharing of data. The potential for industrial and social innovation is vast. Domain-specific ...
  • Automated Satellite-based Assessment of Hurricane Impacts on Roadways 

    Gazzea, Michele; Karaer, Alican; Ghorbanzadeh, Mahyar; Balafkan, Nozhan; Abichou, Tarek; Ozguven, Eren Erman; Arghandeh, Reza (Peer reviewed; Journal article, 2021)
    During extreme weather events like hurricanes, trees can cause significant challenges for the local communities with roadway closures or power outages. Local responders must act quickly with information regarding the extent ...
  • Automated Power Lines Vegetation Monitoring using High-Resolution Satellite Imagery 

    Gazzea, Michele; Pacevicius, Michael Felix; Dammann, Dyre Oliver; Sapronova, Alla; Lunde, Torleif Markussen; Arghandeh, Reza (Peer reviewed; Journal article, 2021)
    Vegetation Management is a significant preventive maintenance expense in many power transmission and distribution companies. Traditional Vegetation Management operational practices have proven ineffective and are rapidly ...
  • PARMOREL: Personalized and automatic repair of models using reinforcement learning 

    Barriga Rodriguez, Angela (Doctoral thesis, 2021)
    In model-driven software engineering, models are used in all phases of the development process. These models must hold a high quality since the implementation of the systems they represent relies on them. Models may get ...
  • SnS2/TiO2 Nanocomposites for Hydrogen Production and Photodegradation under Extended Solar Irradiation 

    Shanmugaratnam, Sivagowri; Selvaratnam, B; Baride, Aravind; Koodali, R; Ravirajan, Punniamoorthy; Velauthapillai, Dhayalan; Shivatharsiny, Yohi (Peer reviewed; Journal article, 2021)
    Earth–abundant transition metal chalcogenide materials are of great research interest for energy production and environmental remediation, as they exhibit better photocatalytic activity due to their suitable electronic and ...
  • An improved text classification modelling approach to identify security messages in heterogeneous projects 

    Oyetoyan, Tosin Daniel; Morrison, Patrick (Peer reviewed; Journal article, 2021)
    Security remains under-addressed in many organisations, illustrated by the number of large-scale software security breaches. Preventing breaches can begin during software development if attention is paid to security during ...
  • Learning and cognition in brain and machine: Prediction of dementia from longitudinal data and modelling memory networks 

    Abolpour Mofrad, Samaneh (Doctoral thesis, 2021)
    Starting in the mid-20th century and throughout their developments, modern neuroscience and artificial intelligence (AI) have provided each other with inspiration, insights, and tools. The degree to which they are intertwined ...
  • Quaternary Cu2FeSnS4/PVP/rGO Composite for Supercapacitor Applications 

    Isacfranklin, Melkiyur; Yuvakkumar, Rathinam; Ravi, Ganesan; Saravanakumar, Balasubramaniam; Pannipara, Mehboobali; Al-Sehemi, Abdullah G.; Velauthapillai, Dhayalan (Peer reviewed; Journal article, 2021)
    Electrochemical energy storage is a current research area to address energy challenges of the modern world. The Cu2FeSnS4/PVP/rGO-decorated nanocomposite using PVP as the surface ligand was explored in a simple one-step ...
  • Financial Fraud Detection in Healthcare Using Machine Learning and Deep Learning Techniques 

    Mehbodniya, Abolfazl; Alam, Izhar; Pande, Sagar; Neware, Rahul; Rane, Kantilal Pitambar; Shabaz, Mohammad; Madhavan, Mangena Venu (Peer reviewed; Journal article, 2021)
    Healthcare sector is one of the prominent sectors in which a lot of data can be collected not only in terms of health but also in terms of finances. Major frauds happen in the healthcare sector due to the utilization of ...
  • Cross-Dimension Mining Model of Public Opinion Data in Online Education Based on Fuzzy Association Rules 

    Li, Li-xuan; Huo, Ying; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
    The multi-dimensional characteristics of public opinion in online education lead to the difficulty of data cross-dimensional mining. To solve this problem, this paper designs a cross-dimensional data mining model of public ...
  • Cost Effective Solvothermal Method to Synthesize Zn-Doped TiO2 Nanomaterials for Photovoltaic and Photocatalytic Degradation Applications 

    Rajaramanan, Tharmakularasa; Shanmugaratnam, Sivagowri; Gurunanthanan, Vijayakumar; Shivatharsiny, Yohi; Velauthapillai, Dhayalan; Ravirajan, Punniamoorthy; Senthilnanthanan, Meena (Peer reviewed; Journal article, 2021)
    Titanium dioxide (TiO2) is a commonly used wide bandgap semiconductor material for energy and environmental applications. Although it is a promising candidate for photovoltaic and photocatalytic applications, its overall ...
  • Helium radiography with a digital tracking calorimeter—a Monte Carlo study for secondary track rejection 

    Pettersen, Helge Egil Seime; Volz, Lennart; Sølie, Jarle Rambo; Alme, Johan; Barnaföldi, Gergely Gábor; Barthel, Rene; van den Brink, Anthony; Borshchov, Vyacheslav; Chaar, Mamdouh; Eikeland, Viljar Nilsen; Genov, Georgi; Grøttvik, Ola Slettevoll; Helstrup, Håvard; Keidel, Ralf; Kobdaj, Chinorat; van der Kolk, Naomi; Mehendale, Shruti Vineet; Meric, Ilker; Odland, Odd Harald; Papp, Gábor; Peitzmann, Thomas; Piersimoni, Pierluigi; Protsenko, Maksym; Rehman, Attiq Ur; Richter, Matthias; Samnøy, Andreas Tefre; Seco, Joao; Shafiee, Hesam; Songmoolnak, Arnon; Tambave, Ganesh Jagannath; Tymchuk, Ihor; Ullaland, Kjetil; Varga-Kofarago, Monika; Wagner, Boris; Xiao, Renzheng; Yang, Shiming; Yokoyama, Hiroki; Röhrich, Dieter Rudolf Christian (Peer reviewed; Journal article, 2021)
    Radiation therapy using protons and heavier ions is a fast-growing therapeutic option for cancer patients. A clinical system for particle imaging in particle therapy would enable online patient position verification, ...
  • 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 ...
  • Use of thermoelectric generators to harvest energy from motor vehicle brake discs 

    Coulibaly, Adama; Zioui, Nadjet; Bentouba, Said; Kelouwani, Sousso; Bourouis, Mahmoud (Peer reviewed; Journal article, 2021)
    The challenge of reducing vehicle energy consumption and greenhouse gas emissions has become a major orientation of automotive industry research throughout the world. Improving and optimizing power consumption by electric ...
  • Supporting School Aged Children to Train Their Vision by Using Serious Games 

    Heldal, Ilona; Helgesen, Carsten Gunnar; Ali, Qasim; Patel, Daniel; Geitung, Atle Birger; Pettersen, Håvard (Peer reviewed; Journal article, 2021)
    Several children struggle with vision difficulties caused by problematic coordination between their left and right eye muscles, i.e., oculomotor dysfunction (OMD). Many OMDs can be improved by training the eyes via physical ...
  • Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection 

    Belhadi, Asma; Djenouri, Youcef; Srivastava, Gautam; Djenouri, Djamel; Lin, Jerry Chun-Wei; Fortino, Giancarlo (Peer reviewed; Journal article, 2021)
    This paper introduces a new model to identify collective abnormal human behaviors from large pedestrian data in smart cities. To accurately solve the problem, several algorithms have been proposed in this paper. These can ...

View more