Essays about: "non-linear"

Showing result 1 - 5 of 714 essays containing the word non-linear.

1. 1. Test Equipment for the LUCAS Chest Compression System: Incorporating Biomechanical Insights for Future Design Enhancements

   University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

   Author : Ester Pörtfors; Malin Svärdling; [2024]
   Keywords : Mechanical CPR; Cardiopulmonary Resuscitation; LUCAS Chest Compression System; Test Equipment; Chest Biomechanics; Chest Stiffness; Technology and Engineering;

   Abstract : The LUCAS Chest Compression System is a market leading mechanical cardiopulmonary resuscitation device, assisting medical professionals worldwide when treating patients with sudden cardiac arrest. The objective of this master thesis project was to develop a new, adjustable test equipment for the LUCAS device, allowing for tests on varying chest heights and stiffness levels. READ MORE

3. 2. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

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

   Author : Alexander Florean; [2024]
   Keywords : Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

   Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE

4. 3. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Markus Jonsson; [2024]
   Keywords : Self-supervised learning; Representation learning; Computer vision;

   Abstract : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. READ MORE

5. 4. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

   University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

   Author : Alireza Momtaz; Mohammad Befkin; [2024]
   Keywords : Genetic Algorithm; Neural Network; Forecasting; Heat Use;

   Abstract : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). READ MORE

6. 5. Ensuring safe docking maneuvers on floating platform using Nonlinear Model Predictive Control (NMPC)

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Federico Gatti; [2024]
   Keywords : Robotics; Space Engineering; Docking Maneuvers; Floating Platforms; Nonlinear MPC; MPC; Barrier function; PWM;

   Abstract : Docking maneuvers are a relevant part of the modern space mission, requiring precision and safety to ensure the success of the overall mission. This thesis proposes using a non-linear Model Predictive Control (MPC) as a controller with various constraints to ensure safe docking maneuvers for a satellite. READ MORE