Studentoppgaver (TN-IDE): Nye registreringer
Viser treff 41-60 av 823
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Security-aware Resource Allocation for Space-Air-Ground Integrated Network using Deep Reinforcement Learning
(Master thesis, 2023)A Space-Air-Ground Integrated Network (SAGIN) has been proposed to extend communication network service coverage to consumer-oriented and industrial sectors where communication network coverage is either limited or ... -
Resource Allocation for Vertical Industries in a Smart City Using Deep Reinforcement Learning
(Master thesis, 2023)This Master’s thesis addresses the problem of resource allocation in Network Function Virtualization (NFV) within the context of a smart city considering isolation. The objective of the thesis is to minimize the long-term ... -
Frontal-Profile Face Recognition Using Deep Learning Algorithms
(Master thesis, 2023)This study investigates the impact of pose variation, particularly extreme poses such as the profile view, on the performance of biometric recognition systems. The study employs the Local Binary Pattern (LBP) approach in ... -
A Machine Learning approach for Building Segmentation using laser data
(Master thesis, 2023)Buildings are essential for population information, city management, and policy-making. Various computer vision technologies have proven helpful in building-related scenarios, where segmentation has proven to be the most ... -
Comparative Analysis of Sampling Methods for Imbalanced Classification
(Master thesis, 2023)Assigning class labels to instances is a key component of the machine learning technique known as classification predictive modeling. While concentrating largely on balanced classification problems, which are thought to ... -
Comparative Analysis of Sampling Methods for Imbalanced Classification
(Master thesis, 2023)Assigning class labels to instances is a key component of the machine learning technique known as classification predictive modeling. While concentrating largely on balanced classification problems, which are thought to ... -
Signal processing of EEG data and AI assisted classification of emotional responses based on visual stimuli
(Master thesis, 2023)This report outlines the research conducted to explore on the topic of classification of human neurological data using machine learning models. The primary objective was to investigate alternative approaches for efficiently ... -
Videreutvikling av 3D selvredningspill for tunnelbrann
(Bachelor thesis, 2023)Denne avhandlingen presenterer et system som gir tilgang til dataene i Nasjonal Vegdatabank (NVDB) for en spill-simulering av en tunnel. De primære målene var å skape en mer realistisk spillopplevelse, ved å gjøre tunnelen ... -
Deteksjon av serielysbue ved bruk av digital signalbehandling i Easee-ladere
(Master thesis, 2023)Serielysbuer kan oppstå i en krets ved feil installert, skadet eller aldrende elektrisk utstyr. Det er den vanligste elektriske årsaken til brann, og realisering av serielysbue deteksjon kan forbedre sikkerheten til ... -
Kretsutvikling for elektrokardiografi og signalbehandling
(Bachelor thesis, 2023)Denne bacheloroppgaven omhandler kretsutvikling og signalbehandling for elektrokardiografi (EKG) med fokus på måling av pulsraten ved bruk av et realiserte EKG-signal. EKG er et signal som beskriver hjertetselektriske ... -
Denoising bathymetric data through deep learning
(Master thesis, 2023)Bathymetric data is an extension of a point cloud and is used to describe the seafloor relative to the water’s surface. It can be used to create maps that portray what the seafloor looks like. It is important for the ... -
Predictive Maintenance for Lift Systems in Automated Storage and Retrieval Systems
(Master thesis, 2023)This thesis, conducted in partnership with AutoStore, examines the potential of predictive maintenance (PM) in the lift systems of their automated storage and retrieval robots. In the context of Industry 4.0, PM becomes ... -
Diagnosis, Localization, and Prognosis of Melanoma in WSIs with a Complete Pipeline by Digital Pathology
(Master thesis, 2023)The most dangerous and aggressive form of skin cancer is melanoma, responsible for 90% of skin cancer mortality. Early detection of melanoma plays a crucial role in the prognostic outcome. The diagnostic has to be performed ... -
Design og implementering av modellprediktiv kontroll for et koplet tanksystem
(Master thesis, 2023)Modellprediktiv kontroll (MPC) er en kontrollteknikk som optimaliserer, over de manipulerte inngangene, fremtidige prognoser til et dynamisk system. Gitt en objektiv funksjon, bruker MPC en prediksjonsmodell (som matematisk ... -
Machine learning, unsupervised learning and stain normalization in digital nephropathology
(Master thesis, 2023)Chronic kidney disease is a serious health challenge and still, the field of study lacks awareness and funding. Improving the efficiency of diagnosing chronic disease is important. Machine learning can be used for various ... -
Simulating and comparing Tangle 2.0 and PoW
(Master thesis, 2023)Tangle 2.0 is a leaderless probabilistic consensus protocol that is based on a DAG called Tangle. The way consensus is found is in the heaviest DAG and not in the longest chain which is popular in Blockchain. POW is a ... -
Go-MC - An implementation level model checker for Go
(Master thesis, 2023)Implementation level model checkers haven proven a good tool for identifying bugs in implementations of distributed algorithms. In recent years many new model checkers have been developed. These often include new state ... -
Effective Management of Hybrid Workloads in Public and Private Cloud Platforms.
(Master thesis, 2023)As organizations increasingly adopt hybrid cloud architectures to meet their diverse computing needs, managing workloads across on-premises and on multiple cloud environments has become a critical challenge. This thesis ... -
Applying machine learning and deep learning algorithms to classify patients using EEG signals.
(Master thesis, 2023)This thesis investigates the potential of Event-Related Potentials (ERPs) for subject-group classification. The ERPs data from five distinct subject groups are analyzed to evaluate the discriminatory power of ERPs in ...