Essays about: "visualization tool"

Showing result 1 - 5 of 370 essays containing the words visualization tool.

  1. 1. Simulator to generate realistic data from a vehicle driving in a mine

    University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Author : Emil Kari; [2024]
    Keywords : Time series analysis; Navigation system; Underground mines; Post-analysis;

    Abstract : This project aims to develop a simulator for generating realistic data from vehicles operating in underground mines, encompassing positional data and sensor values of the velocity and angle. The project addresses the challenge of analyzing the Hybrid Positioning algorithm within Mobilaris Onboard, a navigation system for underground mines. READ MORE

  2. 2. Visualization and analysis of object states using diffusion models and PyTorch

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

    Author : Christopher Nyberg; [2024]
    Keywords : ;

    Abstract : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. READ MORE

  3. 3. Quantification of Pharmaceuticals at the sub-cellular level using the NanoSIMS

    University essay from Uppsala universitet/Analytisk kemi

    Author : Maryam Dost; [2024]
    Keywords : Mass spectroscopy imaging; AstraZeneca; Nanosims; Therapeutics; pharmacokinetics; pharmacodynamics; Quantitative Visualization; calibration curve; RSF; pharmacology; Data Analysis; Chemistry; Quantification; isotopes; Pharmaceuticals; subcellular; drug; drug target; nucleotide; biodistribution; Bioanalytical electrochemistry; spectroscopy; mass spectrometry; analytical separations; Analytical Chemistry; ROI; Bioanalytical Chemistry; Masspektroskopi avbildning; AstraZeneca; Nanosims; Terapeutik; farmakokinetik; farmakodynamik; Kvantitativ visualisering; kalibreringskurva; RSF; farmakologi; Dataanalys; Kemi; Kvantifiering; isotoper; Läkemedel; subcellulär; läkemedel; läkemedelsmål; bioskopisk elektrofördelning; nukleotid; bioskopisk bioskopisk distribution; masspektrometri; analytiska separationer; analytisk kemi; bioanalytisk kemi;

    Abstract : Mass spectroscopy imaging (MSI) has become a vital tool in modern research due to its ability to visualize the spatial distribution of molecules within tissue samples. The collaboration between researchers at AZ, the University of Gothenburg, and Chalmers University of Technology using the NanoSIMS instrument and MSI-SIMS technology has opened up new avenues of exploration in pharmaceutical development, particularly in examining drugs and metabolites at sub-cellular levels. READ MORE

  4. 4. Modeling the penetration of fragmented shaped charge jets

    University essay from Uppsala universitet/Materialfysik

    Author : Alexander Palfelt; [2023]
    Keywords : Shaped charge; Analytical penetration model; Visualization; Riktad sprängverkan; RSV; Analytisk penetrationsmodell; Visualisering;

    Abstract : The penetration power of a shaped charge is an important characteristic in determining its capability. A model has previously been developed by FOI to analytically predict the penetration of a shaped charge jet striking a target at varying stand-off distances. READ MORE

  5. 5. 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