Advanced search

Showing result 1 - 5 of 511 essays matching the above criteria.

1. 1. Using Synthetic Data For Object Detection on the edge in Hazardous Environments

   University essay from Lunds universitet/Institutionen för reglerteknik

   Author : Faraz Azarnoush; Damil Sabotic; [2024]
   Keywords : Technology and Engineering;

   Abstract : This thesis aims to evaluate which aspects are important when generating synthetic data with the purpose of running on a lightweight object detection model on an edge device. The task we constructed was to detect Canisters and whether they feature a protective valve called a Cap or not (called a No-Cap). READ MORE

3. 2. Ultrasound neural style transfer using domain specific features

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Madelene Alanenpää; [2023]
   Keywords : ;

   Abstract : Ultrasound imaging is a widely used fast, low-cost, and non-invasive modality for monitoringfetal development during pregnancy and identifying potential problems or other injuries.However, interpreting the images may be difficult due to the noisy appearance and requiresextensive training of sonographers. READ MORE

4. 3. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Kobe Moerman; [2023]
   Keywords : 3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

   Abstract : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. READ MORE

5. 4. Computationally Efficient Explainable AI: Bayesian Optimization for Computing Multiple Counterfactual Explanantions

   University essay from KTH/Matematik (Avd.)

   Author : Giorgio Sacchi; [2023]
   Keywords : Explainable AI; Counterfactual Explanations CFEs ; Bayesian Optimization BO ; Black-Box Models; Model-Agnostic; Machine Learning ML ; Efficient Computation; High-Stake Decisions; Förklarbar AI; Kontrafaktuell Förklaring CFE ; Bayesiansk Optimering BO ; Svarta lådmodeller; Modellagnostisk; Maskininlärning; Beräkningsmässigt Effektiv; Beslut med höga insatser;

   Abstract : In recent years, advanced machine learning (ML) models have revolutionized industries ranging from the healthcare sector to retail and E-commerce. However, these models have become increasingly complex, making it difficult for even domain experts to understand and retrace the model's decision-making process. READ MORE

6. 5. Using Synthetic Data to ModelMobile User Interface Interactions

   University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Author : Laoa Jalal; [2023]
   Keywords : Time Series Data; Generative Adversarial Networks; Synthetic Data Generator; Usability Testing; Machine Learning;

   Abstract : Usability testing within User Interface (UI) is a central part of assuring high-quality UIdesign that provides good user-experiences across multiple user-groups. The processof usability testing often times requires extensive collection of user feedback, preferablyacross multiple user groups, to ensure an unbiased observation of the potential designflaws within the UI design. READ MORE