Blar i Institutt for informasjonsteknologi og kommunikasjon på tittel

Viser treff 88-107 av 134

    • New Perspectives from International Visitors to Thailand 

      Agrusa, Jerry; Lema, Joseph; Min, Jihye (Ellie); Linnes, Cathrine; Park, Sun-Young (Journal article, 2021)

    • NoOps – A Multivocal literature review 

      Stefanac, Tommy; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2022)
      Traditionally, an organization had to have in-house servers and hardware to build a web application. This evolved into Cloud computing where the possibility for cost reduction and scalable data storage became a reality. ...

    • Normativity assumptions in the design and application of social robots forautistic children 

      Sætra, Henrik Skaug; Nordahl-Hansen, Anders; Fosch-Villaronga, Eduard; Dahl, Christine (Peer reviewed; Chapter, 2022)
      Social robots interact with human beings and are used for a variety of therapeutic purposes, for example in interaction with children with neurodevelopmental disorders. A key ethical issue related to the ...

    • A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images 

      Oyewola, David Opeoluwa; Dada, Emmanuel Gbenga; Misra, Sanjay; Damaševičius, Robertas (Peer reviewed; Journal article, 2022)
      Malaria fever is a potentially fatal disease caused by the Plasmodium parasite. Identifying Plasmodium parasites in blood smear images can help diagnose malaria fever rapidly and precisely. According to the World Health ...

    • A Novel Deep Transfer Learning Approach Based on Depth-Wise Separable CNN for Human Posture Detection 

      Ogundokun, Roseline Oluwaseun; Maskeliūnas, Rytis; Misra, Sanjay; Damasevicius, Robertas (Peer reviewed; Journal article, 2022)
      Human posture classification (HPC) is the process of identifying a human pose from a still image or moving image that was recorded by a digicam. This makes it easier to keep a record of people’s postures, which is helpful ...

    • Ontologies in Cloud Computing - Review and Future Directions 

      Agbaegbu, JohnBosco; Arogundade, Oluwasefunmi Tale; Misra, Sanjay; Damaševičius, Robertas (Peer reviewed; Journal article, 2021)
      Cloud computing as a technology has the capacity to enhance cooperation, scalability, accessibility, and offers discount prospects using improved and effective computing, and this capability helps organizations to stay ...

    • Optimizing the stochastic deployment of small base stations in an interleave division multiple access-based heterogeneous cellular networks 

      Noma-Osaghae, Etinosa; Misra, Sanjay; Koyuncu, Murat (Peer reviewed; Journal article, 2022)
      The use of small base stations (SBSs) to improve the throughput of cellular networks gave rise to the advent of heterogeneous cellular networks (HCNs). Still, the interleave division multiple access (IDMA) performance in ...

    • Overtrusting robots: Setting a research agenda to mitigate overtrust in automation 

      Aroyo, Alexander M.; Bruyne, Jan de; Dheu, Orian; Fosch-Villaronga, Eduard; Gudkov, Aleksei; Hoch, Holly; Jones, Steve; Lutz, Christoph; Sætra, Henrik; Solberg, Mads; Tamò-Larrieux, Aurelia (Peer reviewed; Journal article, 2021)
      There is increasing attention given to the concept of trustworthiness for artificial intelligence and robotics. However, trust is highly context-dependent, varies among cultures, and requires reflection on others’ ...

    • Pareto Optimized Large Mask Approach for Efficient and Background Humanoid Shape Removal 

      Maskeliunas, Rytis; Damaševičius, Robertas; Vitkute-Adzgauskiene, Daiva; Misra, Sanjay (Peer reviewed; Journal article, 2023)
      The purpose of automated video object removal is to not only detect and remove the object of interest automatically, but also to utilize background context to inpaint the foreground area. Video inpainting requires to fill ...

    • Particle swarm optimization of the spectral and energy efficiency of an SCMA-based heterogeneous cellular network 

      Noma-Osaghae, Etinosa; Misra, Sanjay; Ahuja, Ravin; Koyuncu, Murat (Peer reviewed; Journal article, 2022)
      Background The effect of stochastic small base station (SBS) deployment on the energy efficiency (EE) and spectral efficiency (SE) of sparse code multiple access (SCMA)-based heterogeneous cellular networks (HCNs) is still ...

    • Predicting COVID-19 cases in South Korea with all K-edited nearest neighbors noise filter and machine learning techniques 

      Oyewola, David Opeoluwa; Dada, Emmanuel Gbenga; Misra, Sanjay; Damaševičius, Robertas (Peer reviewed; Journal article, 2021)
      The application of machine learning techniques to the epidemiology of COVID-19 is a necessary measure that can be exploited to curtail the further spread of this endemic. Conventional techniques used to determine the ...

    • Predictive Analytics and Software Defect Severity: A Systematic Review and Future Directions 

      Olaleye, T. O.; Arogundade, O. T.; Misra, Sanjay; Abayomi-Alli, A.; Kose, Utku (Peer reviewed; Journal article, 2023)
      Software testing identifies defects in software products with varying multiplying effects based on their severity levels and sequel to instant rectifications, hence the rate of a research study in the software engineering ...

    • Psychographic Traits Identification based on political ideology: An author analysis study on spanish politicians tweets posted in 2020 

      García-Díaz, José Antonio; Colomo-Palacios, Ricardo; Valencia-Garcia, Rafael (Peer reviewed; Journal article, 2022)
      In general, people are usually more reluctant to follow advice and directions from politicians who do not have their ideology. In extreme cases, people can be heavily biased in favour of a political party at the same time ...

    • Psychological interference, liberty and technology 

      Sætra, Henrik Skaug; Mills, Stuart (Peer reviewed; Journal article, 2022)
      Power and the use of force are central concerns in liberal political theory. Yet, it is claimed that liberal theory fails to account for the power that is exerted through, for example, personalised nudging based on Big ...

    • Quality Assurance in E-learning: A Proposal from Accessibility to Sustainability 

      Timbi-Sisalima, Cristian; Sánchez-Gordón, Mary; Hilera-González, José Ramón; Otón-Tortosa, Salvador (Peer reviewed; Journal article, 2022)
      Given the importance of developing and offering accessible education for all, indispensable aspects of education for sustainable development (ESD) are needed. This study addresses that need by proposing a quality self-assessment ...

    • Recurrent Neural Networks for Oil Well Event Prediction 

      Magnusson, Lars Vidar; Olsson, Roland J.; Tran, Chau Thi Thuy (Peer reviewed; Journal article, 2023)
      We have conducted a comparison between three types of recurrent neural networks and their ability to predict anomalies occurring in oil wells using a publicly available dataset. We have included two types of well-known ...

    • Research in AI has Implications for Society: How do we Respond? 

      Sætra, Henrik Skaug; Fosch-Villaronga, Eduard (Journal article, 2021)
      Artificial intelligence (AI) offers previously unimaginable possibilities, solving problems faster and more creatively than before, representing and inviting hope and change, but also fear and resistance. Unfortunately, ...

    • Resolving the battle of short- vs. long-term AI risks 

      Sætra, Henrik Skaug; Danaher, John (Peer reviewed; Journal article, 2023)
      AI poses both short- and long-term risks, but the AI ethics and regulatory communities are struggling to agree on how to think two thoughts at the same time. While disagreements over the exact probabilities and impacts of ...

    • Robotomorphy: Becoming our creations 

      Sætra, Henrik Skaug (Peer reviewed; Journal article, 2021)
      Humans and gods alike have since the dawn of time created objects in their own image. From clay fgures and wooden toys—some granted life in myths and movies but also dead representations of their creators—to modern-day ...

    • Scaffolding Human Champions: AI as a More Competent Other 

      Sætra, Henrik Skaug (Peer reviewed; Journal article, 2022)
      Artifcial intelligence (AI) has surpassed humans in a number of specialised intellectual activities—chess and Go being two of many examples. Amongst the many potential consequences of such a development, I focus on how we ...