Browsing Faculty of Engineering and Science by Title
Now showing items 1743-1762 of 3218
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MAC Protocols for WuR Enabled WSNs : Design and Performance Evaluation
(Master thesis, 2017)Increasing energy efficiency is a challenging task for protocol design in wireless sensor networks (WSNs) as well as in Internet of things (IoT). Traditionally, duty-cycled (DC) protocols have been widely adopted for ... -
Machine learning and IMU: Smart Gait applications for use in real-time systems
(Master thesis, 2024)Inertial Measurement Units hold a great potential for real-time gait phase measurements, gait kinematics measurement, and gait analysis. They offer convenience in the form of their light weight and portability. There are ... -
Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation
(Peer reviewed; Journal article, 2022) -
Machine Learning Applications for Load Predictions in Electrical Energy Network
(Doctoral Dissertations at the University of Agder; no. 376, Doctoral thesis, 2022)In this work collected operational data of typical urban and rural energy network are analysed for predictions of energy consumption, as well as for selected region of Nordpool electricity markets. The regression techniques ... -
A Machine Learning Approach for Fall Detection and Daily Living Activity Recognition
(Peer reviewed; Journal article, 2019) -
A Machine Learning Approach for Fall Detection Based on the Instantaneous Doppler Frequency
(Peer reviewed; Journal article, 2019) -
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 ... -
Machine Learning Tools for Radio Map Estimation in Fading-Impaired Channels
(Doctoral Dissertations at the University of Agder; no. 297, Doctoral thesis, 2020)In spectrum cartography, also known as radio map estimation, one constructs maps that provide the value of a given channel metric such as as the received power, power spectral density (PSD), electromagnetic absorption, or ... -
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 ... -
Macroalgae production in Northern Europe: Business and government perspectives on how to regulate a novel blue bioeconomy
(Peer reviewed; Journal article, 2022)Macroalgae biomass production, understood as cultivation and harvesting, is a minor industry in Europe at present, but the sector is recognized as having substantial growth potential. Here, we framed the environmental ... -
Macrofaunal colonization of mine tailings impacted sediments
(Peer reviewed; Journal article, 2020)An experiment was conducted to study and compare macrofaunal colonization of thin layers of mine tailings. Experimental boxes filled with marine sediments capped with mine tailings were placed on the seabed and subject to ... -
Macroscopic expressions of molecular adiabatic compressibility of methyl and ethyl caprate under high pressure and high temperature
(Journal article; Peer reviewed, 2014)The molecular compressibility, which is a macroscopic quantity to reveal the microcompressibility by additivity of molecular constitutions, is considered as a fixed value for specific organic liquids. In this study, we ... -
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 ...