Browsing Department of Information and Communication Technology by Title
Now showing items 1-20 of 1289
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3D Convolution Neural Networks for Medical Imaging; Classification and Segmentation : A Doctor’s Third Eye
(Master thesis, 2020)In this thesis, we studied and developed 3D classification and segmentation models for medical imaging. The classification is done for Alzheimer’s Disease and segmentation is for brain tumor sub-regions. For the medical ... -
3D modul for syntetisk kalkulator
(Master thesis, 2006)ActionScript er et språk som har blitt benyttet mer og mer de senere årene og er en del av verktøyet Flash. Dette er et design verktøy som har gode metoder for animasjoner i 2D og genererer små filer som gjør det svært ... -
A 3D Non-Stationary Cluster Channel Model for Human Activity Recognition
(Journal article; Peer reviewed, 2019)This paper proposes a three-dimensional (3D) non- stationary fixed-to-fixed indoor channel simulator model for human activity recognition. The channel model enables the formulation of temporal variations of the received ... -
A battery and network usage model for smartphones
(Master thesis, 2012)Smartphones have emerged into platforms with powerful computational capabilities that generate large amount of data. Smartphones have become an important part of our daily life and we use smartphones more frequently than ... -
A Case Study of the Technology Use and Information Flow at a Hospital-driven Telemedicine Service
(Journal article; Peer reviewed, 2017)Health care services face the challenge of providing individualised treatment to a growing ageing population prone to chronic conditions and multi-morbidities. The research project Patients and Professionals in Productive ... -
A Churn prediction model based on gaussian processes
(Master thesis, 2013)The telecommunication’s market has changed to a saturated one during the past few years. This makes it relatively costly to acquire new customers than to retain existing ones. Recent research has further showed that ... -
A Cluster Analysis of Stock Market Data Using Hierarchical SOMs
(Chapter; Peer reviewed, 2016)The analysis of stock markets has become relevant mainly because of its financial implications. In this paper, we propose a novel methodology for performing a structured cluster analysis of stock market data. Our proposed ... -
A co-writing development approach to wikis: Pedagogical issues and implications
(Journal article; Peer reviewed, 2011)Wikis are promoted as collaborative writing tools that allow students to transform a text into a collective document by information sharing and group reflection. However, despite the promising collaborative capabilities ... -
A collaborative writing approach to wikis: Design, implementation, and evaluation
(Journal article; Peer reviewed, 2011)Wikis provide teachers with potentially significant opportunities for creating socially engaged tasks that require active student participation and collaboration. Wikis allow students to work together to develop content ... -
A comparison of database systems for rapid search results in large amounts of leaked data
(Master thesis, 2019)A large portion of the information on the Internet is stored in databases, since databases arethe natural place among online services for storage of user information. Hackers occasionallybreach web sites and publish ... -
A Comprehensive Framework for Patching and Vulnerability Management in Enterprises
(Master thesis, 2023)As patching and vulnerability management have become a larger part of an organization's routine, its need for proper integration and complexity toward systems has increased. Threat actors continuously seek to develop and ... -
A Comprehensive Framework for Patching and Vulnerability Management in Enterprises
(Master thesis, 2023)As patching and vulnerability management have become a larger part of an organization's routine, its need for proper integration and complexity toward systems has increased. Threat actors continuously seek to develop and ... -
A critical review on supply chain risk - Definition, measure and modeling
(Journal article; Peer reviewed, 2015) -
A Deep Learning Approach for Recognizing Daily Movement Patterns through Accelerometer Data
(Master thesis, 2018)Physical activity is a key factor in the treatment of chronic diseases such asdiabetes, cardiovascular disease, and depression. Doctors and personal trainershave limited methods to accurately monitor and classify a patients ... -
A DEEP LEARNING SEGMENTATION APPROACH FOR AUTOMATIC INVOICE IDENTIFICATION
(Master thesis, 2019)The research on object detection has come a long way and has in recent years become so efficient andreliable that we see many practical applications in simple detection of objects in pictures to advancesegmentation in video ... -
A deep learning segmentation approach to calories and weight estimation of food images
(Master thesis, 2019)Today’s generation is very aware of what they are eating and the amountof calories in their food. Eating too many calories can lead to increasedweight, which has become a big health issue. A study from 2016 ... -
A Dynamic Framework Enhancing Situational Awareness in Cybersecurity SOC—IR
(Master thesis, 2022)Organizations today face a significant challenge in protecting their valuable IT assets. Cyber criminals unlimited to physical boundaries are able to disrupt and destroy cyber infrastructure, deny organizations access to ... -
A Dynamic Framework Enhancing Situational Awareness in Cybersecurity SOC—IR
(Master thesis, 2022)Organizations today face a significant challenge in protecting their valuable IT assets. Cyber criminals unlimited to physical boundaries are able to disrupt and destroy cyber infrastructure, deny organizations access to ... -
A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions
(Journal article; Peer reviewed, 2014)The most difficult part in the design and analysis of Learning Automata (LA) consists of the formal proofs of their convergence accuracies. The mathematical techniques used for the different families (Fixed Structure, ... -
A Framework for Activity Monitoring and Fall Detection Based on the Characteristics of Indoor Channels
(Journal article; Peer reviewed, 2018)This paper concerns the Doppler power spectrum of three-dimensional non-stationary indoor fixed-to- fixed channels with moving people. In this paper, we model each moving person as a moving scatterer with time-variant (TV) ...