Essays about: "master thesis for computer Artificial Intelligence"

Showing result 1 - 5 of 14 essays containing the words master thesis for computer Artificial Intelligence.

1. 1. Aerial View Image-Goal Localization with Reinforcement Learning

   University essay from Lunds universitet/Matematik LTH

   Author : John Backsund; Anton Samuelsson; [2022]
   Keywords : reinforcement learning; UAV; machine learning; policy gradient; artificial intelligence; reinforce; Technology and Engineering;

   Abstract : With an increased amount and availability of unmanned aerial vehicles (UAVs) and other remote sensing devices (e.g. satellites) we have recently seen an explosion in computer vision methodologies tailored towards processing and understanding aerial view data. READ MORE

3. 2. Visual mapping in AI interfaces: to establish trust in explainable AI in mammography

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Ebba Bergström; [2022]
   Keywords : Information design; Visual communication; Artificial intelligence; Mammography;

   Abstract : Artificial intelligence (AI) is a broad topic that many researchers and stakeholders want to implement into their daily tasks. There are expectations to implement AI in hospitals, starting with mammography centers. But there is a need to guarantee that it will be efficient and safe to use, and that requires a lot of research. READ MORE

4. 3. Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images

   University essay from Lunds universitet/Matematik LTH

   Author : Maria del Pilar Aguilera Manzanera; [2022]
   Keywords : Melanoma; Skin cancer; Dermatoscopy; Image classification; Machine learning; Artificial intelligence; Convolutional neural networks; Dermatology; Squamous cell carcinoma; Basal cell carcinoma; Actinic keratosis; Computer-aided Diagnostics; Digital dermatology; Technology and Engineering;

   Abstract : The current trends for most fair-skinned populations are that the incidence of melanoma and non-pigmented skin lesions is growing, and this growing trend will continue for the upcoming years. The emergence of deep learning networks and their promising results in solving real-world healthcare problems and improving diagnostic accuracy opens new possibilities. READ MORE

5. 4. Computer Vision for Camera Trap Footage : Comparing classification with object detection

   University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

   Author : Fredrik Örn; [2021]
   Keywords : computer vision; camera traps; classification; object detection; neural networks; artificial intelligence; machine learning; datorseende; kamerafällor; klassificering; detektering; neurala nätverk; artificiell intelligens; maskininlärning;

   Abstract : Monitoring wildlife is of great interest to ecologists and is arguably even more important in the Arctic, the region in focus for the research network INTERACT, where the effects of climate change are greater than on the rest of the planet. This master thesis studies how artificial intelligence (AI) and computer vision can be used together with camera traps to achieve an effective way to monitor populations. READ MORE

6. 5. Artificial Intelligence applications for railway signalling

   University essay from KTH/Transportplanering

   Author : Benjamin Smakic; [2021]
   Keywords : Artificial Intelligence; AI; Machine Learning; ML; Computer Vision; railway signalling; ERTMS level 3; GPS; autonomous train operations; Artificiell Intelligens; Maskininlärning; datorseende; signalteknik; autonoma tåg; självkörande tåg.;

   Abstract : The main purpose of this Master Thesis is to investigate how front-facing, train-mounted cameras and Computer Vision, a type of Artificial Intelligence (AI), can be used to compensate for GPS inaccuracies. By using footage from track-recording cameras, Computer Vision can be utilized to determine the number of tracks and the track occupancy of the train, which would compensate GPS inaccuracies in the lateral positioning. READ MORE