Browsing Department of Information and Communication Technology by Title
Now showing items 670-689 of 1275
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A Machine Learning Approach for Intrusion Detection
(Master thesis, 2020)Securing networks and their confidentiality from intrusions is crucial, and for this rea-son, Intrusion Detection Systems have to be employed. The main goal of this thesis is to achieve a proper detection performance of a ... -
A Machine Learning in Binary and Multiclassification Results on Imbalanced Heart Disease Data Stream
(Peer reviewed; Journal article, 2022) -
Machine Learning Techniques to Predict Pandemic from Social Media
(Master thesis, 2018)In recent years, there has been a particular focus on improving public health through the means of prediction and preparedness of pandemic diseases. Early detection, prediction, and analysis of disease outbreaks allow the ... -
A Machine Learning-Based Intelligence Approach for Multiple-Input/Multiple-Output Routing in Wireless Sensor Networks
(Peer reviewed; Journal article, 2022)Computational intelligence methods play an important role for supporting smart networks operations, optimization, and management. In wireless sensor networks (WSNs), increasing the number of nodes has a need for transferring ... -
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital
(Journal article, 2023)Background Natural language processing (NLP) based clinical decision support systems (CDSSs) have demonstrated the ability to extract vital information from patient electronic health records (EHRs) to facilitate important ... -
Machine Learning: The Backbone of Intelligent Trade Credit-Based Systems
(Peer reviewed; Journal article, 2022)Technology has turned into a significant differentiator in the money and traditional recordkeeping systems for the financial industry. To depict two customers as potential investors, it is mandatory to give the complex ... -
Malware Detection in Internet of Things (IoT) Devices Using Deep Learning
(Peer reviewed; Journal article, 2022)Internet of Things (IoT) devices usage is increasing exponentially with the spread of the internet. With the increasing capacity of data on IoT devices, these devices are becoming venerable to malware attacks; therefore, ... -
Management of Quality of Service and other functions in mobile Ad Hoc networks
(Master thesis, 2003)This Masters thesis deals with management of mobile Ad Hoc networks, with main focus on QoS management. The needs for management of such networks and the challenges in managing them are an important part of the theoretical ... -
Managing disorganization in a disaster case
(Master thesis, 2012)This thesis has five main goals. The first goal is to attempt to replicate the system dynamics model “The essence of transformation in a selforganizing team“ by Tu et al, with the modelling tool Vensim. “The essence of ... -
Managing Emerging Information Security Risks during Transitions to Integrated Operations
(Journal article; Peer reviewed, 2010)The Norwegian Oil and Gas Industry is adopting new information communication technology to connect its offshore platforms, onshore control centers and the suppliers. The management of the oil companies is generally aware ... -
Managing HMI utilities for control systems
(Master thesis, 2007)The supervisor of this project, Origo Engineering AS delivers complete control and automation systems for the oil industry and smelting plants. Each hardware and software package is custom‐made. A part of the functionality ... -
Managing in-country transportation risks in humanitarian supply chains by logistics service providers: Insights from the 2015 Nepal earthquake
(Journal article; Peer reviewed, 2017)Humanitarian supply chains (HSCs) play a central role in effective and efficient disaster relief operations. Transportation has a critical share in HSCs and managing its risks helps to avoid further disruptions in relief ... -
Managing information security risks during new technology adoption
(Journal article; Peer reviewed, 2012)In the present study, we draw on previous system dynamics research on operational transition and change of vulnerability to investigate the role of incident response capability in controlling the severity of incidents ... -
MapAI: Precision in BuildingSegmentation
(Peer reviewed; Journal article, 2022)MapAI: Precision in Building Segmentation is a competition arranged with the Norwegian Artificial Intelligence Research Consortium (NORA) 1 in collaboration with Centre for Artificial Intelligence Research at the University ... -
Mapping extremist forums using text mining
(Master thesis, 2013)Political opinions far from what is considered normal, a distorted view of reality, and hatred to certain other groups are spread amongst political extremists like Islamists and White Supremacists. Demonstrations and ... -
Marine data collection and transmission system for ECO-boat
(Master thesis, 2014)Marine data collection is of great importance because the analytical results based onthe collected data can be utilized for many purposes during the design phase beforesale as well as the maintenance phase of the boat after ... -
Marine data collection based on embedded system with wired and wireless transmission
(Master thesis, 2013)A great interest of boat manufacturers is to improve their products by knowing how the boats are used after sale. In order to gather information about the condition of usages, a system needs to be developed in order to ... -
Maritime data integration using standard ISO 15926
(Journal article; Peer reviewed, 2010)The Oil & Gas industry is moving forward with Integrated Operations (IO). This includes a strong focus on data integration issues. There are different ways to achieve data integration, and ontology-based approaches have ... -
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
(Peer reviewed; Journal article, 2021)Using logical clauses to represent patterns, Tsetlin Machine (TM) have recently obtained competitive performance in terms of accuracy, memory footprint, energy, and learning speed on several benchmarks. Each TM clause votes ... -
Mastering DeepRTS with Transformers
(Master thesis, 2023)The Transformer deep learning model has recently proven its superiority in tasks like natural language processing and computer vision, as tools like ChatGPT and DALL-E have become widespread and helps humans complete tasks ...