Studentoppgaver (TN-IDE)
Studentoppgaver i informasjonsteknologi, datateknikk / kybernetikk, signalbehandling
Recent Submissions
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A Comprehensive Approach to Automated Fact-Checking of Podcasts
(Master thesis, 2024)Podcasts have become a prominent medium for disseminating information, yet they remain largely uncharted territory for automated fact-checking systems. This research addresses the critical need for reliable fact-checking ... -
Deep Learning for Unified Table and Caption Detection in Scientific Documents
(Master thesis, 2024)This study explores the extraction of tables and their corresponding captions from scien- tific documents, aiming to enhance the capabilities of information extraction and analysis. Although there have been significant ... -
Deep Learning for Unified Table and Caption Detection in Scientific Documents
(Master thesis, 2024)This study explores the extraction of tables and their corresponding captions from scientific documents, aiming to enhance the capabilities of information extraction and analysis. Although there have been significant ... -
Optimizing Data Pipelines with Large Language Models: A Comprehensive Study
(Master thesis, 2024)The rising complexity of data processing in modern industries necessitates more efficient and precise methodologies for Extract, Transform, Load (ETL) processes. This thesis investigates the application of Large Language ... -
Enhancing Data Integration and Automation in Datalakes through Large Language Model(LLM)-Driven ETL Pipelines
(Master thesis, 2024)Data pipelines are essential to ingest raw data into the organizational infrastructure. Extract, Transform, Load (ETL) process plays a pivotal role in building a data pipeline. However, ETL data pipelines require manual ... -
Automated Seismic Fault Detection Using Computer Vision and Deep Learning Techniques
(Master thesis, 2024) -
Optimization of Truck Load Capacity for Maximized Transport Volume within Sites
(Master thesis, 2024)In this thesis with close collaboration with Stangeland Maskin AS, our primary objective is to propose improvements to route-planning algorithms for minimizing route durations between transportation hubs and increasing ... -
Effect of Training Data on Neural Retrieval
(Master thesis, 2024)This thesis investigates the impact of training data configurations on the performance of neural retrieval models, specifically focusing on the BERT model. We explore two primary configurations: shallow-based training sets, ... -
Asymmetric Neural Cryptography with Homomorphic and Probabilistic Properties
(Master thesis, 2024)Recent integrations of artificial intelligence in cryptography have improved traditional methods and known crypto attacks. However, the potential of combining neural cryptography with homomorphic and probabilistic encryption ... -
Open Data for Citizen Engagement: Conversational Interface to Explore
(Master thesis, 2024) -
Testing the Quantum Approximate Optimization Algorithm using QUBO Formulations of Max-Cut and Knapsack Problems on Noisy and Noiseless Quantum Simulators
(Master thesis, 2024)Combinatorial optimization problems find application in almost every field of science and engineering. With growing problem sizes, the number of possible solutions grows exponentially, making finding the optimal solution ... -
UiS4ADL Edge HAR: Design of Human Activity Recognition Model For Edge Devices Using STM32 and Thingy 53
(Master thesis, 2024)Human Activity Recognition (HAR) is crucial in various fields such as healthcare, fitness monitoring, and home automation. There are many Activities of Daily Living (ADLs) recognition approaches that focuses on broad-scale ... -
Contextual Conversational Recommendation in the Movie Domain
(Master thesis, 2024)The purpose of a Context-aware Conversational Recommender System is to address the limitations of traditional recommender systems, which often overlook the broader context in favor of past user preferences and movie ... -
Optimization of Deep Learning Techniques for Real-Time Detection and Tracking of Marine Species utilizing YOLOv8 and Deep SORT Algorithms
(Master thesis, 2024)Monitoring coastal seafloor vegetation is crucial for preserving biodiversity, supporting ecosystems, and ensuring sustainable fisheries. Various methods like remote sensing, surveys, and DNA collection provide detailed ... -
Automatic Generation of Presentations for Research Papers
(Master thesis, 2024)This thesis presents a method for automatically generating presentations from academic research papers using Large Language Models (LLMs). The goal is to present a method that will help academics save time in generating ... -
Heart rhythm interpretation during cardiopulmonary resuscitation using CNN-Based deep learning models
(Master thesis, 2024)In 2022, 45.947 [1] people died in Norway and of them 3881 people [2] died from out-of-hospital cardiac arrest. Current automated external defibrillator (AED) utilizes algorithms to detect if the patient heart rhythm is a ... -
Multimodal AI for Stimulation Detection in Newborn Resuscitation
(Master thesis, 2024)This master’s thesis investigates the development of a stimulation detection system for neonatal resuscitation using deep neural networks. The objective was to create a reliable detection system utilizing video recordings, ... -
Multimodal AI for Stimulation Detection in Newborn Resuscitation
(Master thesis, 2024)
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