Browsing Institutt for datateknologi og informatikk by Title
Now showing items 4255-4274 of 6764
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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-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 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 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 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 ... -
Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features
(Chapter, 2020)Considering the increasing complexity and scale of HPC architecture and software, the performance modeling of parallel applications on large-scale HPC platforms has become increasingly important. It plays an important role ... -
Multi-Perspective Issuance Corroboration
(Bachelor thesis, 2024)Denne bacheloroppgaven tar for seg det kritiske problemet med BGP-Hijacking og implikasjonene som følger for sertifikatutstedere. Igangsatt av Buypass, en rot-CA, fokuserer prosjektet på gjennomførbarheten og effektiviteten ... -
Multi-printer learning framework for efficient optical printer characterization
(Peer reviewed; Journal article, 2023)A high prediction accuracy of optical printer models is a prerequisite for accurately reproducing visual attributes (color, gloss, translucency) in multimaterial 3D printing. Recently, deep-learning-based models have been ... -
Multi-Processor System-on-Chip Architectures for Wireless Applications
(Master thesis, 2011)Radio chip solutions today use one of two common high-level system architectures. In the first architecture, a microcontroller runs the protocol stack and the application runs on a separate application controller. The ... -
Multi-Scale Feature Pair Based R-CNN Method for Defect Detection
(Chapter, 2019)The traditional defect detection algorithms based on image registration, image contrast and other image processing algorithms are only limited to a single defect. Though deep-learning-based object detection algorithms can ... -
Multi-scale Painter Classification
(Chapter, 2022)The characterization of a painter’s style is useful for a series of applications, such as documenting art history, planning style-aware conservation and restoration, and discarding forgery attempts. In this work, we propose ... -
Multi-source entity-based conflation for local search
(Peer reviewed; Journal article, 2012)Local search is a well-established mode of Web search engines today. For most developed countries, a huge amount of data is directly available on the Web and can be extracted and processed by search engines. In many ... -
A Multi-Stream Sequence Learning Framework for Human Interaction Recognition
(Peer reviewed; Journal article, 2022)Human interaction recognition (HIR) is challenging due to multiple humans’ involvement and their mutual interaction in a single frame, generated from their movements. Mainstream literature is based on three-dimensional ... -
Multi-Target Tracking and Segmentation for Video Surveillance
(Doctoral theses at NTNU;2019:128, Doctoral thesis, 2019) -
A Multi-Task Vision Transformer for Segmentation and Monocular Depth Estimation for Autonomous Vehicles
(Peer reviewed; Journal article, 2023)In this paper, we investigate the use of Vision Transformers for processing and understanding visual data in an autonomous driving setting. Specifically, we explore the use of Vision Transformers for semantic segmentation ... -
Multi-touch Interaction with Gesture Recognition
(Master thesis, 2010)This master's thesis explores the world of multi-touch interaction with gesture recognition. The focus is on camera based multi-touch techniques, as these provide a new dimension to multi-touch with its ability to recognize ... -
Multi-Turn Generation-Based Conversational Agents in Open Domains
(Doctoral theses at NTNU;2024:75, Doctoral thesis, 2024)This PhD thesis focuses on open-domain generation-based conversational agents, which are chatbots that generate responses to any input or question using natural language processing and deep learning techniques. The thesis ... -
Multi-vendor Software Ecosystem: Challenges from Company’ Perspective
(Peer reviewed; Journal article, 2022)Software ecosystem is the term used for the distributed development of software when a company outsources a whole or a part of their product to single or multiple vendors. Along with the various benefits, outsourcing comes ...