Now showing items 41-60 of 75

    • Making Manipulatives for Mathematics Education 

      Stigberg, Susanne Koch; Stigberg, Henrik; Maugesten, Marianne (Chapter; Peer reviewed, 2022)
      This paper describes the efforts of an interdisciplinary team of researchers as they collaborated to create a digital fabrication curriculum module for mathematics teacher education. The initial four-day workshop design ...
    • Medical Internet-of-Things Based Breast Cancer Diagnosis Using Hyperparameter-Optimized Neural Networks 

      Ogundokun, Roseline Oluwaseun; Misra, Sanjay; Douglas, Mychal; Damaševičius, Robertas; Maskeliunas, Rytis (Peer reviewed; Journal article, 2022)
      In today’s healthcare setting, the accurate and timely diagnosis of breast cancer is critical for recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has experienced a transformation ...
    • MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation 

      Srivastava, Abhishek; Jha, Debesh; Chanda, Sukalpa; Pal, Umapada; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Ali, Sharib; Halvorsen, Pål (Peer reviewed; Journal article, 2021)
      Methods based on convolutional neural networks have improved the performance of biomedical image segmentation. However, most of these methods cannot efficiently segment objects of variable sizes and train on small and ...
    • A Multidimensional Cyber Defence Exercise: Emphasis on Emotional, Social and Cognitive Aspects 

      Maennel, Kaie; Brilingaite, Agne; Bukauskas, Linas; Juozapavičius, Aušrius; Knox, Benjamin James; Lugo, Ricardo Gregorio; Maennel, Olaf; Majore, Ginta; Sütterlin, Stefan (Peer reviewed; Journal article, 2023)
      Hands-on and practical learning has been key to cybersecurity education and training success. Cyber Defence Exercises (CDX) are a common approach to training, testing, and verifying technical and soft skills. However, ...
    • 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. ...
    • 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 ...
    • 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 ...
    • Personalized Digital Solutions for Mental Health 

      Ropero, Jorge; Denecke, Kerstin; Rivera-Romero, Octavio; Gabarron, Elia (Peer reviewed; Journal article, 2023)
      Introduction: Mental health is one of the major global concerns in the field of healthcare. The emergence of digital solutions is proving to be a great aid for individuals suffering from mental health disorders. These ...
    • Pictorize: Transforming image region luminosity to sound brightness for monitoring location 

      Marentakis, Georgios (Chapter; Peer reviewed, 2020)
      A novel algorithm for transforming static and moving images into sound is presented. The algorithm turns image areas into a sound whose brightness depends on image area luminocity. Subjective evaluation investigated the ...
    • Predicting infections using computational intelligence – A systematic review 

      Baldominos, Alejandro; Puello, Adrián; Ogul, Hasan; Aşuroğlu, Tunç; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2020)
      Infections encompass a set of medical conditions of very diverse kinds that can pose a significant risk to health, and even death. As with many other diseases, early diagnosis can help to provide patients with proper care ...
    • 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 ...
    • 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 ...
    • Security aspects in healthcare information systems: A systematic mapping 

      Fatima, Aqsa; Colomo-Palacios, Ricardo (Journal article; Peer reviewed, 2018)
      The security of patient’s data is the most overbearing barrier to access when considering the adoption of Healthcare Information Systems (HIS) in the healthcare industry. Recently, several studies were conducted to address ...
    • Sentiment Analysis in Spanish for Improvement of Products and Services: A Deep Learning Approach 

      Paredes-Valverde, Mario Andrés; Colomo-Palacios, Ricardo; Salas-Zárate, María del Pilar; Valencia-García, Rafael (Journal article; Peer reviewed, 2017)
      Sentiment analysis is an important area that allows knowing public opinion of the users about several aspects. This information helps organizations to know customer satisfaction. Social networks such as Twitter are important ...
    • Serverless computing: a multivocal literature review 

      Sadaqat, Mubashra; Colomo-Palacios, Ricardo; Knudsen, Lars Emil Skrimstad (Journal article; Peer reviewed, 2018)
      Serverless computing is a cloud computing execution model which enables developers to focus more on business logic rather than on infrastructure or maintenance of servers. This new paradigm has become a source of attraction ...
    • 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 ...
    • A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms 

      Shahraki, Amin; Taherkordi, Amir; Haugen, Øystein; Eliassen, Frank (Peer reviewed; Journal article, 2021)
      Many Internet of Things (IoT) networks are created as an overlay over traditional ad-hoc networks such as Zigbee. Moreover, IoT networks can resemble ad-hoc networks over networks that support device-to-device (D2D) ...