Browsing Institutt for informasjonsteknologi og kommunikasjon by Title
Now showing items 21-40 of 136
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A Classical Liberal Argument Against Parental Rights
(Peer reviewed; Journal article, 2023)That the freedom of one individual entails the unfreedom of another is a fundamental challenge for liberalism, and this article examines how children pose a problem for certain varieties of liberalism. It begins by showing ... -
Climate change and the political pathways of AI: The technocracy-democracy dilemma in light of artificial intelligence and human agency
(Peer reviewed; Journal article, 2023)It is generally thought that artificial intelligence (AI) has a significant impact on politics and democracy. Meanwhile, the technology is also often hailed a solution to key societal and environmental challenges. It raises ... -
Compression efficiency and Signal Distortion of common PCA bases for HRTF Modelling
(Chapter; Peer reviewed, 2021)Principal Component Analysis (PCA) has been often used for HRTF compression and individualization. However, there is significant variation in how the input matrix on which PCA is applied is constructed. Here, we study the ... -
Computational Complexity of Modified Blowfish Cryptographic Algorithm on Video Data
(Peer reviewed; Journal article, 2022)Background: The technological revolution has allowed users to exchange data and information in various fields, and this is one of the most prevalent uses of computer technologies. However, in a world where third parties ... -
Confounding Complexity of Machine Action: A Hobbesian Account of Machine Responsibility
(Peer reviewed; Journal article, 2021)In this article, the core concepts in Thomas Hobbes’s framework of representation and responsibility are applied to the question of machine responsibility and the responsibility gap and the retribution gap. The method is ... -
Cyber-physical network architecture for data stream provisioning in complex ecosystems
(Peer reviewed; Journal article, 2021)Intelligent fog cyber-physical social systems (iFog CPSS) is a novel smart city project that uses intrinsic processes to automate microservices such as edge-to-fog or fog-to-cloud monitoring of complex real-time activities. ... -
Cybersecurity Deep: Approaches, Attacks Dataset, and Comparative Study
(Peer reviewed; Journal article, 2022)Cyber attacks are increasing rapidly due to advanced digital technologies used by hackers. In addition, cybercriminals are conducting cyber attacks, making cyber security a rapidly growing field. Although machine learning ... -
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 ...