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City Resilience Dynamics tool
(Research report, 2017) -
Classes of sum-of-cisoids processes and their statistics for the modeling and simulation of mobile fading channels
(Journal article; Peer reviewed, 2013)In this paper, we present a fundamental study on the stationarity and ergodicity of eight classes of sum-of-cisoids (SOC) processes for the modeling and simulation of frequency-nonselective mobile Rayleigh fading channels. ... -
Classification of Diabetes and Cardiac Arrhythmia using Deep Learning
(Master thesis, 2018)Deep Learning (DL) is a research area that has ourished signi cantly in the recent years and has shown remarkable potential for arti cial intelligence in the eld of medical applications. The reasons for success are ... -
Classification of GNSS Jammers using Machine Learning : Multivariate Time Series and Image Classification Based Approaches
(Master thesis, 2021)GNSS is one of the most widely used positioning techniques in modern technology. However, the signals from the GNSS satellites are weak on earth due to the propagation attenuation, making GNSS-based systems vulnerable to ... -
Classification with Multiple Classes using Naïve Bayes and Text Generation with a Small Data Set using a Recurrent Neural Network
(Master thesis, 2017)In this thesis, text classification and text generation are explored using only a small data set and many classes. This thesis experiments with text classification, and show how it is able to find the most similar output ... -
Classifying and Localizing Abnormalities in Brain MRI Using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder
(Peer reviewed; Journal article, 2023)Adults who have brain tumors face a serious and potentially fatal challenge since the tumors rapidly growing malignant cells can seriously impair their physiological ability. In clinical practice, imaging techniques such ... -
Clinical evaluation of a wireless ECG sensor system for arrhythmia diagnostic purposes
(Journal article; Peer reviewed, 2013)In a clinical study, a novel wireless electrocardiogram (ECG) recorder has been evaluated with regard to its ability to perform arrhythmia diagnostics. As the ECG recorder will detect a "non-standard" ECG signal, it has ... -
Cloud adoption and cyber security in public organizations: an empirical investigation on Norwegian municipalities
(Master thesis, 2023)The public sector in Norway, particularly municipalities, is currently transforming through the adoption of cloud solutions. This multiple case study investigates cloud adoption and is security challenges that come along ... -
Clustered File Type Identification
(Master thesis, 2015)This thesis examines the possibility of expanding the current field of research for file type identification in Digital Forensics. A proposed solution is presented where unsupervised clustering and supervised classification ... -
Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality
(Chapter; Peer reviewed, 2021)Customer segmentation has long been a productive field in banking. However, with new approaches to traditional problems come new opportunities. Fine-grained customer segments are notoriously elusive and one method of ... -
Clustering with Terracotta
(Master thesis, 2008)In today’s java community, modern enterprise application products have more constraints and requirements then ever. High availability, application scalability and also good performance are required, which means an ... -
CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection
(Peer reviewed; Journal article, 2023)Video anomaly event detection (VAED) is one of the key technologies in computer vision for smart surveillance systems. With the advent of deep learning, contemporary advances in VAED have achieved substantial success. ... -
The Co-creation Canvas
(Peer reviewed; Journal article, 2021) -
Co-creation in networks of SMEs: a conceptual model of the co-creation process
(Peer reviewed; Journal article, 2021) -
Code Generation from Cinderella-SDL to Embedded Platforms
(Master thesis, 2007)SDL (Specification and description language) is increasingly adopted by many companies and researchers. Its simplicity and object-oriented structure can greatly ease the workload for them. However, the lack of concretization ... -
Collaboration and Decision Making in Crisis Situations
(Chapter; Peer reviewed, 2016) -
Combating class imbalances in image classification - a deep neural network-based method for skin disease classification
(Master thesis, 2022)Skin cancer is the most common type of cancer globally, and the current estimates say that as many as one in five Americans will develop one form of skin cancer in their lifetime. While there are many types of skin cancer, ... -
Combination of automatic and manual testing for web accessibility
(Master thesis, 2018)Web accessibility is an indispensable medium for online communication and digital inclusion nowadays. With the recent adoption of the Web Accessibility Directive making the Internet resources accessible has become a legal ... -
Combining Deep Privacy with an Attribute-driven Generative Adversarial Network to Preserve Gender and Age in De-identified CCTV Footage
(Master thesis, 2021)A surveillance camera is an efficient solution to prohibit crimes for both small and big businesses, and is broadly utilized in big cities. Today, the police force can only access the camera footage for further investigation ... -
Combining social media affordances for organising collective action
(Peer reviewed; Journal article, 2020)