Blar i Faculty of Science and Technology (RealTek) på forfatter "Habib Ullah"
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A comparison of the performance ratio and degradation rate for two industrial scale PV systems in Nordic conditions
Tran, Gia Bao Nguyen (Master thesis, 2024)The performance and degradation of photovoltaics is important. To receive investments, the solar bankability of the system must be assessed. A high degradation rate causes the risk to be high, which increases the interest ... -
Automatic Detection of Soccer Events using Game Audio and Large Language Models
Teklemariam, Joel Yacob (Master thesis, 2024)This thesis tackles the inefficiencies associated with manual annotation in soccer event detection, a process that is time-consuming, expensive, and difficult to scale during major tournaments. By developing an automated ... -
Deep Learning based Models for Traffic Participant and Object Classification
Sivathas, Sathuriyan (Master thesis, 2024)Abstract Research on deep learning models is constantly advancing, and has emerged as an important field to study. Deep learning models have a vital role in the development of self-driving cars, making it essential to ... -
Defect Detection in Solar Cells: Leveraging Deep-Learning Technology
Helland, Vegard; Johansen, Martin (Master thesis, 2024)The purchase of a solar panel can be considered as a long-term investment, especially for solar projects. The industry norm is to provide decades long warranties on a solar panel's power output, which means that the ... -
ECG-based Human Emotion Recognition Using Generative Models
Gunnarshaug, Ole Gilje (Master thesis, 2023)Human emotion recognition (HER) is ever-evolving and has become an important research field. In autonomous driving, HER can be vital in developing autonomous vehicles. Introducing au- tonomous vehicles is expected to ... -
Enhancing Exercise Recognition: Integrating Advanced Deep Learning Models for Human Activity Recognition
Granheim, Roy Erling (Master thesis, 2024)Regular exercise is crucial for maintaining good health, but only some are willing to put in the necessary effort. Unfortunately, the aftermath of the COVID-19 pandemic has led to a decrease in the number of people who ... -
Evaluating the Impact of Similarity Measures on Transfer Learning in Economic Time Series Analysis
Kynningsrud, Kim Næss (Master thesis, 2024)This thesis investigated the impact of various similarity metrics on Transfer Learning effectiveness in economic time series analysis. The complexity of economic data presents unique challenges for predictive modeling. ... -
Exploring Breast Cancer Diagnosis: A Study of SHAP and LIME in XAI-Driven Medical Imaging
Husby, Ulrik Egge (Master thesis, 2024)The motivation for this thesis is to enhance the interpretability and explainability of using \ac{ai} in healthcare, focusing on breast cancer images. Breast cancer is one of the leading causes of cancer-related deaths ... -
Exploring Convolutional Neural Networks for Road User and Object Classification: Insights from Feature Visualization and Layer-by-Layer Analysis
Myklebust, Martin (Master thesis, 2024)This study investigates the roles of various architectural layers within convolutional neural networks (CNNs) and their impact on the efficiency and accuracy of object classification in urban environments. By employing a ... -
Exploring the potential of deep learning models for fish classification
Maharjan, Sanam (Master thesis, 2023)In this thesis we have studied and applied one of the recently proposed deep learning architecture, Vision transformer (ViT). We have observed the performance of ViT model under conditions like with and without transfer ... -
Identification of Coronavirus Through CT-scan Images Using Supervised and Semi-supervised Learning
Manandhar, Rinju (Master thesis, 2023)* This study if based on the exploration of four different supervised deep learning models namely DenseNet201, ResNet50, CNN_model_1 (five blocks) and CNN_model_2 (seven blocks) for the identification of COVID-19 through ... -
Optimalisere behandlingsutbytte gjennom maskinlæringsbasert prediksjon av medisineffekt i depresjon
Rajeshwaran, Gurubaran; Thangalingam, Anish (Master thesis, 2024)Denne studien tar for seg problemstillingen om hvordan maskinlæringsalgoritmer kan bidra til å identifisere mønstre og innsikter i data som er relevante for prediksjon av medisineffekt i behandling av depresjon. I lys av ... -
Precision Agriculture: Leveraging Deep Learning for Classification and Segmentation of Paddy Diseases
Tasfe, Mahrin (Master thesis, 2024)The early detection of paddy disease is essential for reducing the usage of chemical substances and pesticides, and preventing local and global transmission of diseases. An automated paddy disease diagnosis system makes ... -
Prediction of Bus Dwell Time using Time Series Analysis and Machine Learning
Molaug, Vegard (Master thesis, 2024)The reliability of public transportation is strongly dependent on punctual transit trips. Precise bus dwell time (BDT) predictions are important in this regard, as BDT directly influences arrival times and departure times ... -
Seagrass and Seaweed Detection Approaches Using Remote Sensing and Google Earth Engine: A comparative Analysis of Different Machine Learning Techniques
Knag, Sigrid (Master thesis, 2023)Seagrasses and seaweed habitats contribute to crucial ecological services globally, from capturing carbon dioxide and supporting 20% of the world’s largest fisheries to sustaining the small, but many coastal communities ... -
Semantic Enhancements in Image Captioning: Leveraging Neural Networks to Improve BLIP and GPT-2
Srivastava, Sushant Kumar (Master thesis, 2024)In the dynamic arena of automated image captioning, significant resources, including energy and manpower, are required to train state-of-the-art models. These models, though effective, necessitate frequent and costly ...