Essays about: "accuracy measure"

Showing result 1 - 5 of 500 essays containing the words accuracy measure.

1. 1. AI-based image generation: The impact of fine-tuning on fake image detection

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Nick Hagström; Anders Rydberg; [2024]
   Keywords : Fake image detection; LoRA; DreamBooth; Stable Diffusion; Image generation;

   Abstract : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. READ MORE

3. 2. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

   University essay from

   Author : Venkata Vamsi Challa; [2024]
   Keywords : Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

   Abstract : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. READ MORE

4. 3. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Ilya Ploshchik; [2023]
   Keywords : Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

   Abstract : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. READ MORE

5. 4. Evaluating sensor accuracy and repeatability in gasketed plate heat exchangers

   University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

   Author : Nils Engman; [2023]
   Keywords : Sensors; IoT; Heat Exchangers; Technology and Engineering;

   Abstract : Alfa Laval has connected sensors to their gasketed plate heat exchangers (gphe) to extend their customer service offering. To develop this service further the flow through the GPHE is needed. In this thesis, the objective was to evaluate an inexpensive flow switch and two sensor kits that measure pressure and temperature. READ MORE

6. 5. Collaborative Mapping with Drone Swarms Utilizing Relative Distance Measurements

   University essay from Linköpings universitet/Reglerteknik

   Author : Johan Forsman; Carl Tidén; [2023]
   Keywords : ;

   Abstract : The field of use for unmanned aerial vehicles, UAVs, has completely exploded in the last decade. Today they are used for surveillance missions and inspecting places that are difficult for people to access. To increase the efficiency and robustness in the execution of these types of missions, swarms of cooperating drones can be used. READ MORE