Browsing Institutt for informasjonsteknologi og kommunikasjon by Title
Now showing items 28-47 of 136
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Data driven approaches for smart city planning and design: a case scenario on urban data management
(Peer reviewed; Journal article, 2023)Purpose Because of the use of digital technologies in smart cities, municipalities are increasingly facing issues related to urban data management and are seeking ways to exploit these huge amounts of data for the ... -
Data enabling digital ecosystem for sustainable shared electric mobility-as-a-service in smart cities-an innovative business model perspective
(Peer reviewed; Journal article, 2023)Increase in urbanization drives the need for municipalities to make mobility more efficient, both to address climate goals as well as creating a smart living environment for citizens, with less noise congestion, and ... -
Decentralized brokered enabled ecosystem for data marketplace in smart cities towards a data sharing economy
(Peer reviewed; Journal article, 2023)Presently data are indispensably important as cities consider data as a commodity which can be traded to earn revenues. In urban environment, data generated from internet of things devices, smart meters, smart sensors, ... -
A decentralized prototype framework for peer-to-peer based electric car sharing services towards sustainable road transportation
(Peer reviewed; Journal article, 2024)Purpose Presently, existing electric car sharing platforms are based on a centralized architecture which are faced with inadequate trust, and pricing issues as these platforms requires an intermediary to maintain users’ ... -
Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey
(Peer reviewed; Journal article, 2021)Modern communication systems and networks, e.g., Internet of Things (IoT) and cellular networks, generate a massive and heterogeneous amount of traffic data. In such networks, the traditional network management techniques ... -
A deep learning framework for non-functional requirement classification
(Peer reviewed; Journal article, 2024)Analyzing, identifying, and classifying nonfunctional requirements from requirement documents is time-consuming and challenging. Machine learning-based approaches have been proposed to minimize analysts’ efforts, labor, ... -
A deep learning method for automatic SMS spam classification: Performance of learning algorithms on indigenous dataset
(Peer reviewed; Journal article, 2022)SMS, one of the most popular and fast-growing GSM value-added services worldwide, has attracted unwanted SMS, also known as SMS spam. The effects of SMS spam are significant as it affects both the users and the service ... -
Deep Neural Network Model for Evaluating and Achieving the Sustainable Development Goal 16
(Peer reviewed; Journal article, 2022)The decision-making process for attaining Sustainable Development Goals (SDGs) can be enhanced through the use of predictive modelling. The application of predictive tools like deep neural networks (DNN) empowers stakeholders ... -
Demokratiopplæring gjennom demokratisk erfaring
(Peer reviewed; Journal article, 2023)A growing, multidisciplinary literature on the didactics of democracy has evolved. It is marked by different theoretical perspectives, and a dominant perspective emphasises deliberative and participation. In this literature, ... -
Developing a decentralized community of practice-based model for on-demand electric car-pooling towards sustainable shared mobility
(Peer reviewed; Journal article, 2023)Presently, majority of car-pooling services depend on a central third party which makes these platforms susceptible to data privacy, security concerns, and a single point of failure. Moreover, drivers and passengers are ... -
Developing green urban mobility policies for sustainable public transportation in local communities: a Norwegian perspective
(Peer reviewed; Journal article, 2023)Purpose The concept of green urban mobility has emerged as one of the best approaches for promoting environmental-friendly transportation in local communities. Green urban mobility aims to reshape public transportation ... -
Doctor at Your Fingertips: An Exploration of Digital Visits from Stakeholders’ Perspectives
(Peer reviewed; Journal article, 2021)Technological advances and the evolution of mobile technologies enable patients to meet their doctors through their smartphones. While offering the opportunity of digital visits to patients, there are also challenges for ... -
Double Deep Q-Learning and Faster R-CNN-Based Autonomous Vehicle Navigation and Obstacle Avoidance in Dynamic Environment
(Peer reviewed; Journal article, 2021)Autonomous vehicle navigation in an unknown dynamic environment is crucial for both supervised- and Reinforcement Learning-based autonomous maneuvering. The cooperative fusion of these two learning approaches has the ... -
Dynamical Orchestration and Configuration Services in Industrial IoT Systems: An Autonomic Approach
(Peer reviewed; Journal article, 2022)The Industrial Internet of Things (IIoT) enables the integration of physical devices such as sensors and actuators into the virtual world of automation application systems via different communication protocols. Interoperability ... -
The Economic Sustainability of Culture in Hawai’i: Tourists’ Willingness to Pay for Hawaiian Cultural Experiences
(Peer reviewed; Journal article, 2021)Given the current travel restrictions with the COVID-19 pandemic, there is an unprecedented opportunity for Hawai’i to reexamine its current tourism offerings and establish a new approach to support a more authentic, ... -
Emergency Remote Education and its Impact on Higher Education: A Temporary or Permanent Shift in Instruction?
(Peer reviewed; Journal article, 2022)The COVID-19 pandemic has led to problems and upheaval throughout the higher-education sector, with university campuses ceasing face-to-face instruction and with assessments shifting to an online model for a few years. As ... -
The Emerging Threat of Ai-driven Cyber Attacks: A Review
(Peer reviewed; Journal article, 2022)Cyberattacks are becoming more sophisticated and ubiquitous. Cybercriminals are inevitably adopting Artificial Intelligence (AI) techniques to evade the cyberspace and cause greater damages without being noticed. Researchers ... -
Enabling interoperable distributed ledger technology with legacy platforms for enterprise digitalization
(Peer reviewed; Journal article, 2023)Presently to achieve enterprise digitalization technologies such as Distributed Ledger Technologies (DLT) has now been deployed to support digital services provided by enterprises. But several challenges in DLTs remain to ... -
Enhancing blockchain interoperability and intraoperability capabilities in collaborative enterprise-a standardized architecture perspective
(Peer reviewed; Journal article, 2024)Collaborative Enterprise (CE) comprises of organizations that adopt digital platforms to achieve shared goals. In CE the prospect of Distributed Ledger Technologies (DLT) such as blockchain is reliant on its capability to ... -
An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples
(Peer reviewed; Journal article, 2022)Current research endeavors in the application of artificial intelligence (AI) methods in the diagnosis of the COVID-19 disease has proven indispensable with very promising results. Despite these promising results, there ...