Browsing NTNU Open by Title
Now showing items 61768-61787 of 100943
-
Multi-modal Bayesian knowledge tracing
(Master thesis, 2022)I dette forskningsprosjektet sammenlignes Bayesian knowledge tracing (BKT) med en ny versjon av algoritmen, hvor innsikt fra multi-modal data (MMD) om studenters kognitive, affektive og atferdsmessige tilstander benyttes. ... -
Multi-modal Bayesian knowledge tracing
(Master thesis, 2022)I dette forskningsprosjektet sammenlignes Bayesian knowledge tracing (BKT) med en ny versjon av algoritmen, hvor innsikt fra multi-modal data (MMD) om studenters kognitive, affektive og atferdsmessige tilstander benyttes. ... -
Multi-modal characterization of vasculature and nanoparticle accumulation in five tumor xenograft models
(Journal article; Peer reviewed, 2018)Preclinical research has demonstrated that nanoparticles and macromolecules can accumulate in solid tumors due to the enhanced permeability and retention effect. However, drug loaded nanoparticles often fail to show increased ... -
MULTI-MODAL IMAGING OF TUMOR VASCULATURE AND TREATMENT RESPONSE IN PRECLINICAL CANCER MODELS
(Doctoral thesis at NTNU;2015:174, Doctoral thesis, 2015)Multimodal avbildning av tumorvaskulatur og behandlingsrespons i prekliniske modeller av kreft Kreft, en sykdom forårsaket av ukontrollert celledeling, forårsaker betydelig sykelighet og dødelighet i alle folkegrupper. ... -
Multi-modal meta-analysis of cancer cell line omics profiles identifies ECHDC1 as a novel breast tumor suppressor
(Journal article; Peer reviewed, 2021)Molecular and functional profiling of cancer cell lines is subject to laboratory-specific experimental practices and data analysis protocols. The current challenge therefore is how to make an integrated use of the omics ... -
Multi-modality quality assessment for unconstrained biometric samples
(Doctoral theses at NTNU;2018:171, Doctoral thesis, 2018)The aim of this research is to investigate multi-modality biometric image quality assessment methods for unconstrained samples. Studies of biometrics noted the significance of sample quality for a recognition system or a ... -
Multi-nodal nano-actuator pacemaker for energy-efficient stimulation of cardiomyocytes
(Journal article; Peer reviewed, 2019)There is continuous interest in maximizing the longevity of implantable pacemakers, which are effective in remedying and managing patients with arrhythmic heart disease. This paper accordingly first proposes miniature ... -
Multi-Objective Animal Migration Optimization - A Metaheuristic Optimization Algorithm
(Master thesis, 2018)Metaheuristic optimization has received a lot of attention over the last couple of decades. Some optimization problems are just too computationally heavy to solve with traditional search techniques, especially when there ... -
Multi-objective control of isolated power systems under different uncertainty approaches
(Peer reviewed; Journal article, 2022)This paper proposes and compares a set of multi-objective supervisory controllers for an isolated power system including a gas turbine operating in load following mode as a dominant source of generation, a battery energy ... -
Multi-Objective Differential Evolution for Automatic Clustering with Application to Micro-Array Data Analysis
(Journal article; Peer reviewed, 2009)This paper applies the Differential Evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performances of two multi-objective variants of DE ... -
Multi-objective Discrete Quantum PSO for dynamic environments
(Master thesis, 2020)Dynamiske miljøer og flere objektiver er gjentagende problemer i den virkelige verden. Det er ikke gjort grundig forskning på en kombinasjon av disse problemene. I oppgaven blir det lagt frem en modell som kombinerer den ... -
Multi-objective Discrete Quantum PSO for dynamic environments
(Master thesis, 2020)Dynamiske miljøer og flere objektiver er gjentagende problemer i den virkelige verden. Det er ikke gjort grundig forskning på en kombinasjon av disse problemene. I oppgaven blir det lagt frem en modell som kombinerer den ... -
Multi-objective Energy Optimization Of Locomotions For Underwater Snake Robot
(Master thesis, 2017)Biologically inspired Autonomous Underwater Vehicles (AUVs) have been developed in the recent decades. This thesis focuses on the \glspl{auv} that are biologically inspired by snakes, called Underwater Snake Robots (USRs). ... -
The multi-objective feature selection in Android malware detection system
(Peer reviewed; Journal article, 2021)The Android operating system boosts a global market share over the previous years, which has made it the most popular operating system in the world. Recently, Android has become the target of attacks by cybercriminals ... -
Multi-objective Genetic Algorithm for Engineering Design Optimization
(Master thesis, 2020)Denne rapporten utforsker hvordan evolusjonær databehandling metoder blir brukt for strukturell optimalisering, med et fokus på bruk av genetiske algoritmer til design av jacketer. Jacketer er fagverksplattformer bygget i ... -
A Multi-Objective Genetic Algorithm for Jacket Optimization
(Chapter, 2021)In this paper, we describe underlying concepts related to the problem of jacket design as well as previous research on jacket design optimization. Motivated by the complexity of the problem, including the multiple objectives ... -
Multi-objective mixture design of cemented paste backfill using particle swarm optimisation algorithm
(Peer reviewed; Journal article, 2020)In order to achieve a successful cemented paste backfill (CPB) mixture design, multiple project requirements such as strength, flowability and cost should be met. For this achievement, the key design parameters, solid ... -
Multi-Objective Neuroevolution in Super Mario Bros.
(Master thesis, 2013)This thesis explores how to use Multi-Objective Evolutionary Algorithms (MOEA)to solve problems that are not explicitly defined as multi-objective problems. Aneuroevolution technique consisting of combining a multi-objective ... -
A multi-objective optimal design method for thermal energy storage systems with PCM: A case study for outdoor swimming pool heating application
(Journal article; Peer reviewed, 2020)Traditional design methods for thermal energy storage systems (TES) with phase change material (PCM) are mostly based on worst-case scenario, which causes too large size of main components. Current optimal design methods ... -
A multi-objective optimisation framework to design membrane-based energy recovery ventilation for low carbon buildings
(Peer reviewed; Journal article, 2023)Membrane energy exchangers (MEEs) are increasingly being studied and utilized to contribute to realising energy-efficient building services and providing satisfactory indoor environments. The performance of MEEs has been ...