Browsing Fakultet for ingeniør- og naturvitskap / Faculty of Engineering and Science by Title
Now showing items 2069-2088 of 2885
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Powder pressed cuprous iodide (CuI) as a hole transporting material for perovskite solar cells
(Peer reviewed; Journal article, 2019)This study focuses on employing cuprous iodide (CuI) as a hole-transporting material (HTM) in fabricating highly efficient perovskite solar cells (PSCs). The PSCs were made in air with either CuI or 2,2′,7,7′-Tetrakis[N, ... -
Power control and monitoring in the proton CT instrument B023EB-14
(Bachelor thesis, 2023) -
Power production and biochemical markers of metabolic stress and muscle damage following a single bout of short-sprint and heavy strength exercise in well-trained cyclists
(Journal article; Peer reviewed, 2018)Purpose: Although strength and sprint training are widely used methods in competitive cycling, no previous studies have compared the acute responses and recovery rates following such sessions among highly trained cyclists. ... -
A Practical Methodology for Anonymization of Structured Health Data
(Peer reviewed; Journal article, 2019)Hospitals, as data custodians, have the need to share a version of the data in hand with external research institutes for analysis purposes. For preserving the privacy of the patients, anonymization methods are employed ... -
Pragmatics Annotated Coloured Petri Nets for Protocol Software Generation and Verification
(Peer reviewed; Journal article, 2015)PetriCode is a tool that supports automated generation of protocol software from a restricted class of Coloured Petri Nets (CPNs) called Pragmatics Annotated Coloured Petri Nets (PA-CPNs). PetriCode and PA-CPNs have been ... -
Predicting conversion to Alzheimer’s disease in individuals with Mild Cognitive Impairment using clinically transferable features
(Peer reviewed; Journal article, 2022)Patients with Mild Cognitive Impairment (MCI) have an increased risk of Alzheimer’s disease (AD). Early identification of underlying neurodegenerative processes is essential to provide treatment before the disease is well ... -
Prediction of buckling force in hourglass-shaped specimens
(Peer reviewed; Journal article, 2021)It is important to avoid buckling during low-cycle fatigue testing. The buckling load is dependent on the specimen shape, material properties, and the testing machine. In the present investigation of hourglass-shaped ... -
Prediction of Pollutant Emissions from Bluff-Body Stabilised Nonpremixed Flames
(Journal article; Peer reviewed, 2018)Construction of a stable flame is one of the critical design requirements in developing practical combustion systems. Flames stabilised by a bluff-body are extensively used in certain types of combustors. The design promotes ... -
Preliminary results from detection of microplastics in liquid samples using flow cytometry
(Peer reviewed; Journal article, 2020)Microplastics are globally recognized as contaminants in freshwater and marine aquatic systems. To date there is no universally accepted protocol for isolation and quantification of microplastics from aqueous media. Various ... -
Preserved Structure Constants for Red Refinements of Product Elements
(Chapter; Peer reviewed, 2021)In this paper we discuss some strategy for red refinements of product elements and show that there are certain structure characteristics (d-sines of angles formed by certain edges in the initial partition) which remain ... -
Pressure and inertia sensing drifters for glacial hydrology flow path measurements
(Peer reviewed; Journal article, 2020)Glacial hydrology plays an important role in the control of glacier dynamics, of sediment transport, and of fjord and proglacial ecosystems. Surface meltwater drains through glaciers via supraglacial, englacial and subglacial ... -
Pressure Surge analysis (water hammer) in Firewater deluge system
(Master thesis, 2023)Deluge brannvannsystemer er vanligvis designet basert på «steady state» tilstand, hvor et system blir utformet slik at det er tilstrekkelig vannstrøm og vanntetthet over systems dekningsarealet slik at brannen slokkes ... -
Prestegardshagen ved Seljesanden : hageanlegget ved Selje prestegard – fortid, notid og framtid
(Bachelor thesis, 2011) -
Prevention of Cyber Security with the Internet of Things Using Particle Swarm Optimization
(Peer reviewed; Journal article, 2022)High security for physical items such as intelligent machinery and residential appliances is provided via the Internet of Things (IoT). The physical objects are given a distinct online address known as the Internet Protocol ... -
Priors Inspired by Speed-Accuracy Trade-Offs for Incremental Learning of Probabilistic Movement Primitives
(Chapter; Peer reviewed, 2021)Probabilistic Movement Primitives (ProMPs) model robot motor skills by capturing the mean and variance of a set of demonstrations provided by a human teacher. Such a probabilistic representation of motor skills is beneficial ... -
Privacy Preserving Multi-Party Key Exchange Protocol for Wireless Mesh Networks
(Peer reviewed; Journal article, 2022)Presently, lightweight devices such as mobile phones, notepads, and laptops are widely used to access the Internet throughout the world; however, a problem of privacy preservation and authentication delay occurs during ... -
Privacy reinforcement learning for faults detection in the smart grid
(Peer reviewed; Journal article, 2021)Recent anticipated advancements in ad hoc Wireless Mesh Networks (WMN) have made them strong natural candidates for Smart Grid’s Neighborhood Area Network (NAN) and the ongoing work on Advanced Metering Infrastructure ... -
Privacy-Preserving Deep Reinforcement Learning in Vehicle AdHoc Networks
(Peer reviewed; Journal article, 2021)The increasing number of road vehicles results in more fatalities and accidents. Thus, the manufacturing industry is working on driver safety to secure and safe transportation in Vehicle Adhoc networks. In addition, the ... -
Privacy-Preserving Machine Learning and Data Sharing in Healthcare Applications
(Doctoral thesis, 2022)Artificial intelligence (AI) and automated decision-making have the potential to improve accuracy and efficiency in healthcare applications. In particular, AI is proved to outperform human experts in certain domains. ...