• 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 ...
    • Sentiment analysis of COVID‑19 tweets from selected hashtags in Nigeria using VADER and Text Blob analyser 

      Abiola, Odeyinka; Abayomi-Alli, Adebayo; Tale, Oluwasefunmi Arogundade; Misra, Sanjay; Abayomi-Alli, Olusola (Peer reviewed; Journal article, 2023)
      Background: Information is essential for growth; without it, little can be accomplished. Data gathering has seen signifcant changes throughout the previous few centuries because of the certain transitory medium. The look ...
    • Social robot deception and the culture of trust 

      Sætra, Henrik Skaug (Peer reviewed; Journal article, 2021)
      Human beings are deeply social, and both evolutionary traits and cultural constructs encourage cooperation based on trust. Social robots interject themselves in human social settings, and they can be used for deceptive ...
    • Software and Systems Engineers in ICS Security: Graduate-Level Curricula and Industry Needs 

      Mikkelsplass, Stine Aurora; Simensen, John Eidar; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2023)
      The introduction of Industry 4.0 and IIoT has enabled the interconnection of information technology (IT) and operational technology (OT) and exposed industrial control systems to cyber threats. Industrial cybersecurity ...
    • Software Engineering Applications enabled by Blockchain Technology: A Systematic Mapping Study 

      Demi, Selina; Colomo-Palacios, Ricardo; Sánchez-Gordón, Mary (Peer reviewed; Journal article, 2021)
      The novel, yet disruptive blockchain technology has witnessed growing attention, due to its intrinsic potential. Besides the conventional domains that benefit from such potential, such as finance, supply chain and healthcare, ...
    • Study of the Yahoo-Yahoo Hash-Tag Tweets Using Sentiment Analysis and Opinion Mining Algorithms 

      Abayomi-Alli, Adebayo; Abayomi-Alli, Olusola; Misra, Sanjay; Fernandez-Sanz, Luis (Peer reviewed; Journal article, 2022)
      Mining opinion on social media microblogs presents opportunities to extract meaningful insight from the public from trending issues like the “yahoo-yahoo” which in Nigeria, is synonymous to cybercrime. In this study, content ...