Blar i Master's theses in Information and Communication Technology på forfatter "Goodwin, Morten"
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A Study of Mitigating Advesarial Attacks against Machine Learning Models
Dzjumajev, Sultan (Master thesis, 2024)Machine learning (ML) is a powerful tool to analyze complex data and make predictions, but it faces challenges from adversarial attacks that significantly affect its performance. In this study, we explored the vulnerabilities ... -
Combating class imbalances in image classification - a deep neural network-based method for skin disease classification
Aamodt, Eivind (Master thesis, 2022)Skin cancer is the most common type of cancer globally, and the current estimates say that as many as one in five Americans will develop one form of skin cancer in their lifetime. While there are many types of skin cancer, ... -
Deep learning-based golf swing sequencing from videos
Neha (Master thesis, 2024)This thesis delves into the effectiveness of advanced deep learning configurations for identifying the dynamic and static phases of golf swings, a fundamental skill in golf that directly influences performance outcomes. ... -
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (Master thesis, 2018)Reinforcement Learning (RL) is a research area that has blossomed tremendously in recent years and has shown remarkable potential for artificial intelligence based opponents in computer games. This success is primarily due ... -
Deformable Large Kernel Approximation For Semantic Segmentation of Shorelines
Dale, Vegard (Master thesis, 2024)Marine oil spills have emerged as a major threat to marine ecological safety. Large incidents related to oil extraction and maritime operations has lead to an estimated 1,522,000 tonnes of oil being released into the oceans. ... -
Demographic optimization of regions of interest for heart rate estimation through explainable remote photoplethysmography
Thune, Sébastian (Master thesis, 2024)Heart rate measurement can provide vital insights into the autonomic nervous system and cardiovascular health. Conventional heart rate monitoring devices include electrocardiogram and photoplethysmography, both of which ... -
DET: Data Enhancement Technique for Aerial Images
Jacobsen, Jørgen Åsbu; Jyhne, Sander (Master thesis, 2022)Deep learning and computer vision are two thriving research areas within machine learning. In recent years, as the available computing power has grown, it has led to the possibility of combining the approaches, achieving ... -
Evaluating and Enhancing Custom AI Chat Services: Towards Increasing the Speed, Accuracy and Cost Efficiency of Retrieval Augmented Generation Pipelines
Dale, Erik (Master thesis, 2024)Custom AI chat services that utilize Retrieval Augmented Generation are becoming more and more common within different sectors and businesses. When these types of services are used in professional settings like a workplace, ... -
Hybrid Neural Networks with Attention-based Multiple Instance Learning for Improved Grain and Yield Predictions
Jacobsen, Sigurd Løite; Kvande, Mikkel Andreas (Master thesis, 2022)Agriculture is a critical part of the world’s food production, being a vital aspect of all societies. Procedures need to be adjusted to their specific environment because of their climate and field condition disparity. ... -
Hybrid Neural Networks with Attention-based Multiple Instance Learning for Improved Grain Identification and Grain Yield Predictions
Kvande, Mikkel Andreas; Jacobsen, Sigurd Løite (Master thesis, 2022)Agriculture is a critical part of the world's food production, being a vital aspect of all societies. Procedures need to be adjusted to their specific environment because of their climate and field condition disparity. ... -
Mastering DeepRTS with Transformers
Eike, Andreas Høiberg; Alves, Pedro (Master thesis, 2023)The Transformer deep learning model has recently proven its superiority in tasks like natural language processing and computer vision, as tools like ChatGPT and DALL-E have become widespread and helps humans complete tasks ... -
Mastering DeepRTS with Transformers
Eike, Andreas Høiberg; Alves, Pedro (Master thesis, 2023)The Transformer deep learning model has recently proven its superiority in tasks like natural language processing and computer vision, as tools like ChatGPT and DALL-E have become widespread and helps humans complete tasks ... -
Source Code Auto Completion with different approaches: Text Classification, N-Gram Models, Long Short-Term Memory
Ibrahim, Pavel (Master thesis, 2022)Et gjennomgang av 2 ulike Source Code Auto Completion metoder med Text Classification og N-Gram Modeller. I tillegg et forsøk på implementasjon av Long Short-Term Memory for Auto Completion med Python. -
Transform Diabetes - Harnessing Transformer-Based Machine Learning and Layered Ensemble with Enhanced Training for Improved Glucose Prediction.
Laursen, Rune Alexander; Alo, Peshang (Master thesis, 2023)Type 1 diabetes is a common chronic disease characterized by the body’s inability to regulate the blood glucose level, leading to severe health consequences if not handled manually. Accurate blood glucose level predictions ... -
Transform Diabetes - Harnessing Transformer-Based Machine Learning and Layered Ensemble with Enhanced Training for Improved Glucose Prediction.
Laursen, Rune Alexander; Alo, Peshang (Master thesis, 2023)Type 1 diabetes is a common chronic disease characterized by the body’s inability to regulate the blood glucose level, leading to severe health consequences if not handled manually. Accurate blood glucose level predictions ...