Blar i Master's theses in Information and Communication Technology på forfatter "Goodwin, Morten"
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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 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 ... -
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 ... -
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 ...